Paolo Tomeo

According to our database, Paolo Tomeo authored at least 20 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization.

Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo, Vito Walter Anelli, Tommaso Di Noia

User Model. User Adapt. Interact., 2019

2018

Recommender Systems Based on Linked Open Data.

Tommaso Di Noia, Paolo Tomeo

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback.

Alejandro Bellogín, Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo

Proceedings of the Advances in Artificial Intelligence, 2018

2017

Adaptive multi-attribute diversity for recommender systems.

Tommaso Di Noia, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio

Inf. Sci., 2017

Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations.

Paolo Tomeo, Ignacio Fernández-Tobías, Iván Cantador, Tommaso Di Noia

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

An Analysis on Time- and Session-aware Diversification in Recommender Systems.

Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Schema-summarization in linked-data-based feature selection for recommender systems.

Azzurra Ragone, Paolo Tomeo, Corrado Magarelli, Tommaso Di Noia, Matteo Palmonari, Andrea Maurino, Eugenio Di Sciascio

Proceedings of the Symposium on Applied Computing, 2017

Schema-aware Feature Selection in Linked Data-based Recommender Systems.

Corrado Magarelli, Azzurra Ragone, Paolo Tomeo, Tommaso Di Noia, Matteo Palmonari, Andrea Maurino, Eugenio Di Sciascio

Proceedings of the 8th Italian Information Retrieval Workshop, 2017

On the Role of Time and Sessions in Diversifying Recommendation Results.

Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio

Proceedings of the 8th Italian Information Retrieval Workshop, 2017

2016

SPrank: Semantic Path-Based Ranking for Top-<i>N</i> Recommendations Using Linked Open Data.

Tommaso Di Noia, Vito Claudio Ostuni, Paolo Tomeo, Eugenio Di Sciascio

ACM Trans. Intell. Syst. Technol., 2016

Building a relatedness graph from Linked Open Data: A case study in the IT domain.

Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio, Roberto Mirizzi, Claudio Bartolini

Expert Syst. Appl., 2016

Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback.

Ignacio Fernández-Tobías, Paolo Tomeo, Iván Cantador, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Rating Prediction with Contextual Conditional Preferences.

Aleksandra Karpus, Tommaso Di Noia, Paolo Tomeo, Krzysztof Goczyla

Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

Generating examples of paths summarizing RDF datasets.

Jindrich Mynarz, Marek Dudás, Paolo Tomeo, Vojtech Svátek

Proceedings of the Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems, 2016

Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback.

Paolo Tomeo, Ignacio Fernández-Tobías, Tommaso Di Noia, Iván Cantador

Proceedings of the 4th Spanish Conference on Information Retrieval, 2016

2015

An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data.

Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain.

Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Semantic Web - ISWC 2015, 2015

Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity.

Paolo Tomeo, Tommaso Di Noia, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Eugenio Di Sciascio

Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

Adaptive Diversity in Recommender Systems.

Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio

Proceedings of the 6th Italian Information Retrieval Workshop, 2015

2014

An analysis of users' propensity toward diversity in recommendations.

Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014