Report on RecSys 2015 Workshop on New Trends in Content-Based Recommender Systems

Abstract

This article reports on the CBRecSys workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys in Boston, MA. Content-based recommendation has been applied successfully in many di erent domains, but it has not seen the same level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue for work dedicated to all aspects of content-based recommender systems.

Second Workshop on New Trends in Content-based Recommender Systems (CBRecSys 2015)

“…The proceedings are published as a CEUR Workshop Proceedings volume. Similar to last year's workshop [3], we will also look into publishing a summary of the workshop in venues like the SIGIR Forum, to increase cross-disciplinary awareness of recommender systems research.…”

Boosting Memory-Based Collaborative Filtering Using Content-Metadata

“…Researchers have suggested many recommendation methods using the content-metadata [7][8][9][10][11] that are typically provided in the form of textual descriptions of content features. Such recommendation methods usually construct each user's profile or predictor using metadata from all content the user rates and then estimate the rating score of content using the user's profile or predictor.…”