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recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
  • 方向:推荐系统
  • CCF等级 / JCR分区:无类
Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 16-20, 2015.
注意,当前年度会议可能有其他论文集合,点击查看
Keynote: Capturing User Interests for Content-based Recommendations.

Frank Hopfgartner

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

Automatic Selection of Linked Open Data Features in Graph-based Recommender Systems.

Cataldo Musto, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Simone Rutigliano

Metadata Embeddings for User and Item Cold-start Recommendations.

Maciej Kula

Generic knowledge-based Analysis of Social Media for Recommendations.

Victor de Graaff, Anne van de Venis, Maurice van Keulen, Rolf A. de By

The Continuous Cold-start Problem in e-Commerce Recommender Systems.

Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller

Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary.

Mickaël Poussevin, Vincent Guigue, Patrick Gallinari

Cross-Document Search Engine For Book Recommendation.

Chahinez Benkoussas, Patrice Bellot

Conceptual Impact-Based Recommender System for CiteSeerx.

Kevin Labille, Susan Gauch, Ann Smittu Joseph


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