Dietmar Jannach

Orcid: 0000-0002-4698-8507

Affiliations:
  • University of Klagenfurt, Austria
  • University of Bergen, Norway
  • Dortmund University of Technology, Germany (former)


According to our database1, Dietmar Jannach authored at least 276 papers between 1999 and 2024.

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Bibliography

2024
Fairness in recommender systems: research landscape and future directions.
User Model. User Adapt. Interact., March, 2024

Leveraging Professional Ethics for Responsible AI.
Commun. ACM, February, 2024

Economic recommender systems - a systematic review.
Electron. Commer. Res. Appl., January, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR, 2024

Investigating Reproducibility in Deep Learning-Based Software Fault Prediction.
CoRR, 2024

Improving Sequential Recommendations with LLMs.
CoRR, 2024

Performance Comparison of Session-Based Recommendation Algorithms Based on GNNs.
Proceedings of the Advances in Information Retrieval, 2024

2023
Intra-list similarity and human diversity perceptions of recommendations: the details matter.
User Model. User Adapt. Interact., September, 2023

Explaining software fault predictions to spreadsheet users.
J. Syst. Softw., July, 2023

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education.
SIGIR Forum, June, 2023

Considering temporal aspects in recommender systems: a survey.
User Model. User Adapt. Interact., March, 2023

ACM Transactions on Recommender Systems: Inaugural Issue Editorial.
Trans. Recomm. Syst., March, 2023

Evaluating conversational recommender systems.
Artif. Intell. Rev., March, 2023

Team-related Features in Code Review Prediction Models.
CoRR, 2023

On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems.
CoRR, 2023

A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data.
CoRR, 2023

A Survey on Popularity Bias in Recommender Systems.
CoRR, 2023

Recommender Systems: A Primer.
CoRR, 2023

Semi-supervised Adversarial Learning for Complementary Item Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Leveraging Large Language Models for Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Sequential and Session-based Recommendation: Past, Present, Future.
Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation.
Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022
Value and Impact of Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

Session-Based Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2022

Spreadsheet debugging: The perils of tool over-reliance.
J. Syst. Softw., 2022

Conversational recommendation: Theoretical model and complexity analysis.
Inf. Sci., 2022

Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics.
Inf. Sci., 2022

Towards retrieval-based conversational recommendation.
Inf. Syst., 2022

Balancing consumer and business value of recommender systems: A simulation-based analysis.
Electron. Commer. Res. Appl., 2022

A Survey on Conversational Recommender Systems.
ACM Comput. Surv., 2022

Multi-Objective Recommender Systems: Survey and Challenges.
CoRR, 2022

A Survey of Research on Fair Recommender Systems.
CoRR, 2022

Recommender Systems: Trends and Frontiers.
AI Mag., 2022

Conversational Recommendation: A Grand AI Challenge.
AI Mag., 2022

Responsible media technology and AI: challenges and research directions.
AI Ethics, 2022

Towards responsible media recommendation.
AI Ethics, 2022

Investigating the Value of Subtitles for Improved Movie Recommendations.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Top-N Recommendation Algorithms: A Quest for the State-of-the-Art.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation.
Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

INFACT: An Online Human Evaluation Framework for Conversational Recommendation.
Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Multi-Objective Recommendation: Overview and Challenges.
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Boosting Spectrum-Based Fault Localization for Spreadsheets with Product Metrics in a Learning Approach.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Revisiting Retrieval-based Approaches for Conversational Recommender Systems.
Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

Towards a theoretical formalization of conversational recommendation.
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Collaborative Image Understanding.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2022

2021
Empirical analysis of session-based recommendation algorithms.
User Model. User Adapt. Interact., 2021

Metric-Based Fault Prediction for Spreadsheets.
IEEE Trans. Software Eng., 2021

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research.
ACM Trans. Inf. Syst., 2021

Improved Customer Lifetime Value Prediction With Sequence-To-Sequence Learning and Feature-Based Models.
ACM Trans. Knowl. Discov. Data, 2021

Product metrics for spreadsheets - A systematic review.
J. Syst. Softw., 2021

Session-aware recommendation: A surprising quest for the state-of-the-art.
Inf. Sci., 2021

Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation.
CoRR, 2021

Recommender Systems: Past, Present, Future.
AI Mag., 2021

Progress in Recommender Systems Research: Crisis? What Crisis?
AI Mag., 2021

A Black-Box Attack Model for Visually-Aware Recommender Systems.
Proceedings of the WSDM '21, 2021

Exploring Multi-List User Interfaces for Similar-Item Recommendations.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method.
Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Explorations in Digital Nudging for Online Food Choices.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Randomized Problem-Relaxation Solving for Over-Constrained Schedules.
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021

Comprehending Spreadsheets: Which Strategies do Users Apply?
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020
Learning to recommend similar items from human judgments.
User Model. User Adapt. Interact., 2020

Effects of recommendations on the playlist creation behavior of users.
User Model. User Adapt. Interact., 2020

Research directions in session-based and sequential recommendation.
User Model. User Adapt. Interact., 2020

Multistakeholder recommendation: Survey and research directions.
User Model. User Adapt. Interact., 2020

Digital Nudging with Recommender Systems: Survey and Future Directions.
CoRR, 2020

Infodemics: A call to action for interdisciplinary research.
CoRR, 2020

Hybrid Session-based News Recommendation using Recurrent Neural Networks.
CoRR, 2020

Escaping the McNamara Fallacy: Towards more Impactful Recommender Systems Research.
AI Mag., 2020

ECOM'20: The SIGIR 2020 Workshop on eCommerce.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Second Workshop on the Impact of Recommender Systems at ACM RecSys '20.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper.
Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

End-to-End Learning for Conversational Recommendation: A Long Way to Go?
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

Exploring Longitudinal Effects of Session-based Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Methodological Issues in Recommender Systems Research (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Trends in content-based recommendation - Preface to the special issue on Recommender systems based on rich item descriptions.
User Model. User Adapt. Interact., 2019

Measuring the Business Value of Recommender Systems.
ACM Trans. Manag. Inf. Syst., 2019

Are query-based ontology debuggers really helping knowledge engineers?
Knowl. Based Syst., 2019

Measuring the impact of online personalisation: Past, present and future.
Int. J. Hum. Comput. Stud., 2019

Beyond Personalization: Research Directions in Multistakeholder Recommendation.
CoRR, 2019

Fragment-based spreadsheet debugging.
Autom. Softw. Eng., 2019

Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks.
IEEE Access, 2019

Tutorial: Sequence-Aware Recommender Systems.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Session details: ACM UMAP 2019 Main Track.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

First workshop on the impact of recommender systems at ACM RecSys 2019.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems.
Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, 2019

Performance comparison of neural and non-neural approaches to session-based recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Learning to rank hotels for search and recommendation from session-based interaction logs and meta data.
Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

User-centric evaluation of session-based recommendations for an automated radio station.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Towards More Impactful Recommender Systems Research.
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

Are we really making much progress? A worrying analysis of recent neural recommendation approaches.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Explanations and User Control in Recommender Systems.
Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond, 2019

2018
Recommending Based on Implicit Feedback.
Proceedings of the Social Information Access - Systems and Technologies, 2018

Recommender Systems, Semantic-Based.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Evaluation of session-based recommendation algorithms.
User Model. User Adapt. Interact., 2018

News recommender systems - Survey and roads ahead.
Inf. Process. Manag., 2018

Optimal pricing in e-commerce based on sparse and noisy data.
Decis. Support Syst., 2018

Sequence-Aware Recommender Systems.
ACM Comput. Surv., 2018

Combining Spreadsheet Smells for Improved Fault Prediction.
CoRR, 2018

Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Effective Nearest-Neighbor Music Recommendations.
Proceedings of the ACM Recommender Systems Challenge, 2018

Streamingrec: a framework for benchmarking stream-based news recommenders.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Keynote: Session-Based Recommendation - Challenges and Recent Advances.
Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

How Automated Recommendations Affect the Playlist Creation Behavior of Users.
Proceedings of the Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 2018

Combining spreadsheet smells for improved fault prediction.
Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018

Collaborative Filtering: Matrix Completion and Session-Based Recommendation Tasks.
Proceedings of the Collaborative Recommendations, 2018

Music Recommendations.
Proceedings of the Collaborative Recommendations, 2018

Parallel Model-Based Diagnosis.
Proceedings of the Handbook of Parallel Constraint Reasoning., 2018

2017
A systematic review and taxonomy of explanations in decision support and recommender systems.
User Model. User Adapt. Interact., 2017

Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts.
User Model. User Adapt. Interact., 2017

Interacting with Recommenders - Overview and Research Directions.
ACM Trans. Interact. Intell. Syst., 2017

Preface to the Special Issue on Recommender Systems.
J. Data Semant., 2017

Efficient optimization of multiple recommendation quality factors according to individual user tendencies.
Expert Syst. Appl., 2017

Price and Profit Awareness in Recommender Systems.
CoRR, 2017

A decomposition-based approach to spreadsheet testing and debugging.
Proceedings of the 2017 IEEE Symposium on Visual Languages and Human-Centric Computing, 2017

An Al-based interactive tool for spreadsheet debugging.
Proceedings of the 2017 IEEE Symposium on Visual Languages and Human-Centric Computing, 2017

User Perception of Next-Track Music Recommendations.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Offline performance vs. subjective quality experience: a case study in video game recommendation.
Proceedings of the Symposium on Applied Computing, 2017

Determining characteristics of successful recommendations from log data: a case study.
Proceedings of the Symposium on Applied Computing, 2017

Leveraging multi-dimensional user models for personalized next-track music recommendation.
Proceedings of the Symposium on Applied Computing, 2017

A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation.
Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Interacting with Recommenders.
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

Challenges of Session-Aware Recommendation in E-Commerce.
Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Interacting with Recommender Systems.
Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

Investigating Personalized Search in E-Commerce.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
Supporting the Design of Machine Learning Workflows with a Recommendation System.
ACM Trans. Interact. Intell. Syst., 2016

Parallel Model-Based Diagnosis on Multi-Core Computers.
J. Artif. Intell. Res., 2016

Recommendation quality, transparency, and website quality for trust-building in recommendation agents.
Electron. Commer. Res. Appl., 2016

Recommender systems - : beyond matrix completion.
Commun. ACM, 2016

Model-based diagnosis of spreadsheet programs: a constraint-based debugging approach.
Autom. Softw. Eng., 2016

Finding errors in the Enron spreadsheet corpus.
Proceedings of the 2016 IEEE Symposium on Visual Languages and Human-Centric Computing, 2016

On the Value of Reminders within E-Commerce Recommendations.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals.
Proceedings of the Late-breaking Results, 2016

Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Fragment-Based Diagnosis of Spreadsheets.
Proceedings of the Software Technologies: Applications and Foundations, 2016

Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process.
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

Recommendations with a Purpose.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Efficient Sequential Model-Based Fault-Localization with Partial Diagnoses.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

User Control in Recommender Systems: Overview and Interaction Challenges.
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

2015
Constraint-Based Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

What recommenders recommend: an analysis of recommendation biases and possible countermeasures.
User Model. User Adapt. Interact., 2015

Future research issues in IT and tourism.
J. Inf. Technol. Tour., 2015

Clustering- and regression-based multi-criteria collaborative filtering with incremental updates.
Inf. Sci., 2015

Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation.
i-com, 2015

A Divide-And-Conquer-Method for Computing Multiple Conflicts for Diagnosis.
Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Item Familiarity Effects in User-Centric Evaluations of Recommender Systems.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Adaptation and Evaluation of Recommendations for Short-term Shopping Goals.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Adaptive Recommendation-based Modeling Support for Data Analysis Workflows.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

MergeXplain: Fast Computation of Multiple Conflicts for Diagnosis.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Using Calculation Fragments for Spreadsheet Testing and Debugging.
Proceedings of the Second Workshop on Software Engineering Methods in Spreadsheets co-located with the 37th International Conference on Software Engineering (ICSE 2015) , 2015

Parallelized Hitting Set Computation for Model-Based Diagnosis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Recommender Systems, Semantic-Based.
Encyclopedia of Social Network Analysis and Mining, 2014

Preface to the special issue on context-aware recommender systems.
User Model. User Adapt. Interact., 2014

Avoiding, finding and fixing spreadsheet errors - A survey of automated approaches for spreadsheet QA.
J. Syst. Softw., 2014

Leveraging multi-criteria customer feedback for satisfaction analysis and improved recommendations.
J. Inf. Technol. Tour., 2014

How should I explain? A comparison of different explanation types for recommender systems.
Int. J. Hum. Comput. Stud., 2014

Unifying Product and Software Configuration (Dagstuhl Seminar 14172).
Dagstuhl Reports, 2014

Automated Generation of Music Playlists: Survey and Experiments.
ACM Comput. Surv., 2014

Using graded implicit feedback for bayesian personalized ranking.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Analyzing the Characteristics of Shared Playlists for Music Recommendation.
Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), 2014

The sixth ACM RecSys workshop on recommender systems and the social web.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Recommendation-based modeling support for data mining processes.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Comparing Audio Features and Playlist Statistics for Music Classification.
Proceedings of the Analysis of Large and Complex Data, 2014

2013
Modeling and Solving Distributed Configuration Problems: A CSP-Based Approach.
IEEE Trans. Knowl. Data Eng., 2013

Improving recommendation accuracy based on item-specific tag preferences.
ACM Trans. Intell. Syst. Technol., 2013

Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen.
HMD Prax. Wirtsch., 2013

The AAAI-13 Conference Workshops.
AI Mag., 2013

What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

The fifth ACM RecSys workshop on recommender systems and the social web.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Evaluating The Quality of Generated Playlists Based on Hand-Crafted Samples.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Toward an Integrated Framework for Declarative and Interactive Spreadsheet Debugging.
Proceedings of the ENASE 2013, 2013

Toward Automatically Learned Search Heuristics for CSP-encoded Configuration Problems - Results from an Initial Experimental Analysis.
Proceedings of the 15th International Configuration Workshop, 2013

2012
Bounded non-deterministic planning for multimedia adaptation.
Appl. Intell., 2012

Reports of the AAAI 2012 Conference Workshops.
AI Mag., 2012

Accuracy improvements for multi-criteria recommender systems.
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

4th ACM RecSys workshop on recommender systems and the social web.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Effects of the Placement of Diverse Items in Recommendation Lists.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 2, Wroclaw, Poland, 28 June, 2012

Bringing Diversity to Recommendation Lists - An Analysis of the Placement of Diverse Items.
Proceedings of the Enterprise Information Systems - 14th International Conference, 2012

Recommending Hotels based on Multi-Dimensional Customer Ratings.
Proceedings of the Information and Communication Technologies in Tourism 2012, 2012

Recommender Systems in Computer Science and Information Systems - A Landscape of Research.
Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012

Unifying Software, Product Configuration: A Research Roadmap.
Proceedings of the Workshop on Configuration at ECAI 2012, 2012

2011
Developing Constraint-based Recommenders.
Proceedings of the Recommender Systems Handbook, 2011

Explaining Online Recommendations Using Personalized Tag Clouds.
i-com, 2011

Progress and Challenges in Product Configuration Systems Development.
IEEE Intell. Informatics Bull., 2011

RF-Rec: Fast and Accurate Computation of Recommendations Based on Rating Frequencies.
Proceedings of the 13th IEEE Conference on Commerce and Enterprise Computing, 2011

Placing High-Diversity Items in Top-N Recommendation Lists.
Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2011

LocalRank - Neighborhood-Based, Fast Computation of Tag Recommendations.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

Understanding Recommendations by Reading the Clouds.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

Information quality assessment: validating measurement dimensions and processes.
Proceedings of the 19th European Conference on Information Systems, 2011

Incremental Prediction of Configurator Input Values Based on Association Rules - A Case Study.
Proceedings of the IJCAI 2011 Workshop on Configuration, Barcelona, Spain, July 16, 2011, 2011

2010
xCrawl: a high-recall crawling method for Web mining.
Knowl. Inf. Syst., 2010

Measuring the impact of personalization and recommendation on user behaviour.
Int. J. Hum. Comput. Stud., 2010

Applying Local Rescheduling in response to schedule disruptions.
Ann. Oper. Res., 2010

Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

Recommending based on rating frequencies: Accurate enough?
Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2010

Recommending based on rating frequencies.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Beyond accuracy: evaluating recommender systems by coverage and serendipity.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Recommender Systems - An Introduction.
Cambridge University Press, ISBN: 978-0-521-49336-9, 2010

2009
Automated ontology instantiation from tabular web sources - The AllRight system.
J. Web Semant., 2009

Constraint-Based Recommendation in Tourism: A Multiperspective Case Study.
J. Inf. Technol. Tour., 2009

Recommender Systems in the Web 2.0 Sphere.
IEEE Intell. Informatics Bull., 2009

Extending the RCPSP for modeling and solving disruption management problems.
Appl. Intell., 2009

Automated debugging of recommender user interface descriptions.
Appl. Intell., 2009

AAAI 2008 Workshop Reports.
AI Mag., 2009

Fast computation of query relaxations for knowledge-based recommenders.
AI Commun., 2009

A case study on the effectiveness of recommendations in the mobile internet.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Workshop on recommender systems and the social web.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Effectiveness of Different Recommender Algorithms in the Mobile Internet: A Case Study.
Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence, 2009

2008
Extending the Resource-Constrained Project Scheduling Problem for Disruption Management.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

Finding Preferred Query Relaxations in Content-Based Recommenders.
Proceedings of the Intelligent Techniques and Tools for Novel System Architectures, 2008

Knowledge-Based Multimedia Adaptation Decision-Taking.
Proceedings of the Encyclopedia of Multimedia, 2nd Ed., 2008

Special issue on Recommender Systems.
AI Commun., 2008

Multimedia Adaptation Decisions Modelled as Non-deterministic Operations.
Proceedings of the Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008

Knowledge-based System Development with Scripting Technology: A Recommender System Example.
Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

Exception Handling in Web Service Processes.
Proceedings of the Evolution of Conceptual Modeling, 2008

A Distributed Generative CSP Framework for Multi-site Product Configuration.
Proceedings of the Cooperative Information Agents XII, 12th International Workshop, 2008

2007
Rapid Development of Knowledge-Based Conversational Recommender Applications with Advisor Suite.
J. Web Eng., 2007

Knowledge-based multimedia adaptation for ubiquitous multimedia consumption.
J. Netw. Comput. Appl., 2007

Comparing Recommendation Strategies in a Commercial Context.
IEEE Intell. Syst., 2007

AAAI-07 Workshop Reports.
AI Mag., 2007

AllRight: Automatic Ontology Instantiation from Tabular Web Documents.
Proceedings of the Semantic Web, 2007

Clustering web documents with tables for information extraction.
Proceedings of the 4th International Conference on Knowledge Capture (K-CAP 2007), 2007

Handling Alternative Activities in Resource-Constrained Project Scheduling Problems.
Proceedings of the IJCAI 2007, 2007

SAT: A Web-Based Interactive Advisor for Investor-Ready Business Plans.
Proceedings of the ICE-B 2007, 2007

Developing a Conversational Travel Advisor with ADVISOR SUITE.
Proceedings of the Information and Communication Technologies in Tourism, 2007

Local Rescheduling - A Novel Approach for Efficient Response to Schedule Disruptions.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

2006
An Integrated Environment for the Development of Knowledge-Based Recommender Applications.
Int. J. Electron. Commer., 2006

A knowledge-based framework for multimedia adaptation.
Appl. Intell., 2006

Approaches to Efficient Resource-Constrained Project Rescheduling.
Proceedings of the STAIRS 2006, 2006

Techniques for Fast Query Relaxation in Content-Based Recommender Systems.
Proceedings of the KI 2006: Advances in Artificial Intelligence, 2006

Handling Airport Ground Processes Based on Resource-Constrained Project Scheduling.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

Conflict-Directed Relaxation of Constraints in Content-Based Recommender Systems.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

Knowledge-Based Sales Advisory: Experiences and Future Directions.
Proceedings of the ICE-B 2006, 2006

Persuasive Online-Selling in Quality and Taste Domains.
Proceedings of the E-Commerce and Web Technologies, 7th International Conference, 2006

2005
Personalized User Preference Elicitation for e-Services.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

2004
Consistency-based diagnosis of configuration knowledge bases.
Artif. Intell., 2004

Toward Semantic Web Services for Multimedia Adaptation.
Proceedings of the Web Information Systems, 2004

A Knowledge-Based Framework for the Rapid Development of Conversational Recommenders.
Proceedings of the Web Information Systems, 2004

Building on-line sales assistance systems with ADVISOR SUITE.
Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2004), 2004

A knowledge and component based multimedia adaptation framework.
Proceedings of the Sixth IEEE International Symposium on Multimedia Software Engineering, 2004

An Extensible Framework for Knowledge-Based Multimedia Adaptation.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Advisor Suite: A Tool for Rapid Development of Maintainable Online Sales Advisory Systems.
Proceedings of the Web Engineering - 4th International Conference, 2004

ADVISOR SUITE - A Knowledge-Based Sales Advisory-System.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
A Framework for the Development of Personalized, Distributed Web-Based Configuration Systems.
AI Mag., 2003

Configuration knowledge representations for Semantic Web applications.
Artif. Intell. Eng. Des. Anal. Manuf., 2003

Developing Constraint-Based Applications with Spreadsheets.
Proceedings of the Developments in Applied Artificial Intelligence, 2003

Transforming UML Domain Descriptions into Configuration Knowledge Bases.
Proceedings of the Knowledge Transformation for the Semantic Web, 2003

2002
Configuration Knowledge Representation Using UML/OCL.
Proceedings of the UML 2002 - The Unified Modeling Language, 5th International Conference, Dresden, Germany, September 30, 2002

Semantic Configuration Web Services in the CAWICOMS Project.
Proceedings of the Semantic Web, 2002

UML as knowledge acquisition frontend for Semantic Web configuration knowledge bases.
Proceedings of the RuleML 2002, 2002

Acquiring Configuration Knowledge Bases in the Semantic Web Using UML.
Proceedings of the Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web, 2002

A Framework for Rapid Development of Advanced Web-based Configurator Applications.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

Personalising On-Line Configuration of Products and Services.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

Web-Based Configuration of Virtual Private Networks with Multiple Suppliers.
Proceedings of the Artificial Intelligence in Design '02, 2002

2001
Conceptual modeling for configuration of mass-customizable products.
Artif. Intell. Eng., 2001

Intelligent Interfaces for Distributed Web-Based Product and Service Configuration.
Proceedings of the Web Intelligence: Research and Development, 2001

Web-based Commerce of Complex Products and Services with Multiple Suppliers.
Proceedings of the KI-2001 Workshop AI in Planning, 2001

Towards Distributed Configuration.
Proceedings of the KI 2001: Advances in Artificial Intelligence, 2001

Hierarchical Diagnosis of Large Configurator Knowledge Bases.
Proceedings of the KI 2001: Advances in Artificial Intelligence, 2001

Intelligent Support for Interactive Configuration of Mass-Customized Products.
Proceedings of the Engineering of Intelligent Systems, 2001

Distributed Configuration as Distributed Dynamic Constraint Satisfaction.
Proceedings of the Engineering of Intelligent Systems, 2001

2000
Uml as Domain Specific Language for the Construction of Knowledge-Based Configuration Systems.
Int. J. Softw. Eng. Knowl. Eng., 2000

Contextual Diagrams as Structuring Mechanisms for Designing Configuration Knowledge Bases in UML.
Proceedings of the «UML» 2000, 2000

A Framework for the Development of Cooperative Configuration Agents.
Proceedings of the Intelligent Problem Solving, 2000

Cooperating Configuration Agents Supporting Supply Chain Integration of Customizable Products.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Integrating Knowledge-Based Configuration Systems by Sharing Functional Architectures.
Proceedings of the Knowledge Acquisition, 2000

An Integrated Development Environment for The Design And Maintenance of Large Configuration Knowledge Bases.
Proceedings of the Artificial Intelligence in Design '00, 2000

1999
Knowledge Acquisition for Configuration Systems: UML as a link between AI and Software Engineering.
Proceedings of the Proceedings PuK 99, 1999


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