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Can Readability Enhance Recommendations on Community Question Answering Sites?

Oghenemaro Anuyah, Ion Madrazo Azpiazu, David McNeill, Maria Soledad Pera. 2017. Can Readability Enhance Recommendations on Community Question Answering Sites? In RecSys 2017 Poster Proceedings. Abstract We present an initial examination on the impact text complexity has when incorporated into the … (Read More) Can Readability Enhance Recommendations on Community Question Answering Sites?

Challenges in Evaluating Recommendations for Children

Michael D. Ekstrand. 2017. Challenges in Evaluating Recommendations for Children. In Proceedings of the International Workshop on Children & Recommender Systems (KidRec) at RecSys 2017. Abstract Recommender systems research and development cannot advance without robust evaluation strategies. While many evaluation strategies have proven … (Read More) Challenges in Evaluating Recommendations for Children

The Demographics of Cool

Michael D. Ekstrand and Maria Soledad Pera. 2017. The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users. In RecSys 2017 Poster Proceedings. Abstract Typical recommender evaluations treat users as an homogeneous unit. However, user subgroups often differ in their tastes, which … (Read More) The Demographics of Cool

Exploiting Reviews to Generate Personalized and Justified Recommendations to Guide Users’ Selections

Nevena Dragovic and Sole Pera. 2017. “Exploiting Reviews to Generate Personalized and Justified Recommendations to  Guide Users’ Selections”.  To appear in Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. Abstract:  We introduce RUS, a recommender that assists users … (Read More) Exploiting Reviews to Generate Personalized and Justified Recommendations to Guide Users’ Selections

UBR: A Book Search–Recommender Hybrid

Jason Hall and Sole Pera. 2017. “UBR: A Book Search–Recommender Hybrid” To appear in Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. Abstract:  We present UBR, a Unit Book Recommender that combines search and recommendation into a … (Read More) UBR: A Book Search–Recommender Hybrid

Sturgeon and the Cool Kids: Problems with Top-N Recommender Evaluation

Michael D. Ekstrand and Vaibhav Mahant. 2017. “Sturgeon and the Cool Kids: Problems with Top-N Recommender Evaluation”. To appear in Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. Abstract Top-N evaluation of recommender systems, typically carried out … (Read More) Sturgeon and the Cool Kids: Problems with Top-N Recommender Evaluation

Recommender Response to Diversity and Popularity Bias in User Profiles

Sushma Channamsetty and Michael D. Ekstrand. 2017. “Recommender Response to Diversity and Popularity Bias in User Profiles”. Short paper in Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference. Abstract Recommender system evaluation usually focuses on the over-all … (Read More) Recommender Response to Diversity and Popularity Bias in User Profiles