Michal Kompan

Orcid: 0000-0002-4649-5120

According to our database1, Michal Kompan authored at least 29 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

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

Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles.
Trans. Recomm. Syst., March, 2023

2022
Exploring Customer Price Preference and Product Profit Role in Recommender Systems.
IEEE Intell. Syst., 2022

Pessimistic Off-Policy Optimization for Learning to Rank.
CoRR, 2022

Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Context-aware adaptive personalised recommendation: a meta-hybrid.
Int. J. Web Eng. Technol., 2021

The Cold-start Problem: Minimal Users' Activity Estimation.
CoRR, 2021

Towards Continuous Automatic Audits of Social Media Adaptive Behavior and its Role in Misinformation Spreading.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020
Session-based k-NNs with Semantic Suggestions for Next-item Prediction.
CoRR, 2020

2019
The Short-term User Modeling for Predictive Applications.
J. Data Semant., 2019

User Modeling for Churn Prediction in E-Commerce.
IEEE Intell. Syst., 2019

Towards understandable personalized recommendations: Hybrid explanations.
Comput. Sci. Inf. Syst., 2019

Preference Dynamics and Behavioral Traits in Fashion Domain.
Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization, 2019

Improving the Personalized Recommendation in the Cold-start Scenarios.
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018
Fast Streaming Behavioural Pattern Mining.
New Gener. Comput., 2018

Acquisition and Modelling of Short-TermUser Behaviour on theWeb: A Survey.
J. Web Eng., 2018

Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study.
Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018

Hybrid Collaborative Recommendations: Practical Considerations and Tools to Develop a Recommender.
Proceedings of the Collaborative Recommendations, 2018

2017
Beyond User Preferences: The Short-Term Behaviour Modelling.
Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

2016
Personalized hybrid recommendation for group of users: Top-N multimedia recommender.
Inf. Process. Manag., 2016

Student behavior in a web-based educational system: Exit intent prediction.
Eng. Appl. Artif. Intell., 2016

Short-term User Behaviour Changes Modelling.
Proceedings of the New Trends in Databases and Information Systems, 2016

2014
Group Recommendations: Survey and Perspectives.
Comput. Informatics, 2014

Social Structure and Personality Enhanced Group Recommendation.
Proceedings of the Posters, 2014

Voting Based Group Recommendation: How Users Vote.
Proceedings of the Hypertext 2014 Extended Proceedings: Late-breaking Results, 2014

2013
Context-Based Satisfaction Modelling for Personalized Recommendations.
Proceedings of the 8th International Workshop on Semantic and Social Media Adaptation and Personalization, 2013

2012
Effective hierarchical vector-based news representation for personalized recommendation.
Comput. Sci. Inf. Syst., 2012

2010
Content-Based News Recommendation.
Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010


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