Paolo Tomeo

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 14

Top Topics

Matrix Factorization

Recommender Systems

Data Sparseness

Top Venues

Publications

Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo, Vito Walter Anelli, Tommaso Di Noia
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization. User Model. User Adapt. Interact. 29 (2) (2019)
Alejandro Bellogín, Ignacio Fernández-Tobías, Iván Cantador, Paolo Tomeo
Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback. CAEPIA (2018)
Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio
On the Role of Time and Sessions in Diversifying Recommendation Results. IIR (2017)
Tommaso Di Noia, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio
Adaptive multi-attribute diversity for recommender systems. Inf. Sci. (2017)
Paolo Tomeo, Ignacio Fernández-Tobías, Iván Cantador, Tommaso Di Noia
Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25 (Supplement-2) (2017)
Vito Walter Anelli, Vito Bellini, Tommaso Di Noia, Wanda La Bruna, Paolo Tomeo, Eugenio Di Sciascio
An Analysis on Time- and Session-aware Diversification in Recommender Systems. UMAP (2017)
Azzurra Ragone, Paolo Tomeo, Corrado Magarelli, Tommaso Di Noia, Matteo Palmonari, Andrea Maurino, Eugenio Di Sciascio
Schema-summarization in linked-data-based feature selection for recommender systems. SAC (2017)
Corrado Magarelli, Azzurra Ragone, Paolo Tomeo, Tommaso Di Noia, Matteo Palmonari, Andrea Maurino, Eugenio Di Sciascio
Schema-aware Feature Selection in Linked Data-based Recommender Systems. IIR (2017)
Aleksandra Karpus, Tommaso Di Noia, Paolo Tomeo, Krzysztof Goczyla
Rating Prediction with Contextual Conditional Preferences. KDIR (2016)
Ignacio Fernández-Tobías, Paolo Tomeo, Iván Cantador, Tommaso Di Noia, Eugenio Di Sciascio
Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback. RecSys (2016)
Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio, Roberto Mirizzi, Claudio Bartolini
Building a relatedness graph from Linked Open Data: A case study in the IT domain. Expert Syst. Appl. 44 (2016)
Jindrich Mynarz, Marek Dudás, Paolo Tomeo, Vojtech Svátek
Generating examples of paths summarizing RDF datasets. SEMANTiCS (Posters, Demos, SuCCESS) (2016)
Paolo Tomeo, Ignacio Fernández-Tobías, Tommaso Di Noia, Iván Cantador
Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback. CERI (2016)
Tommaso Di Noia, Vito Claudio Ostuni, Paolo Tomeo, Eugenio Di Sciascio
Recommendations Using Linked Open Data. ACM Trans. Intell. Syst. Technol. 8 (1) (2016)
Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio
An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data. WWW (Companion Volume) (2015)
Paolo Tomeo, Tommaso Di Noia, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Eugenio Di Sciascio
Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity. CBRecSys@RecSys (2015)
Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio
Adaptive Diversity in Recommender Systems. IIR (2015)
Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio
Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain. ISWC (1) (2015)
Tommaso Di Noia, Vito Claudio Ostuni, Jessica Rosati, Paolo Tomeo, Eugenio Di Sciascio
An analysis of users' propensity toward diversity in recommendations. RecSys (2014)