Compact representation is a key issue for effective information delivery to users in mobile content-providing services. In particular, it is more severe when providing text docume...
Jung-Woo Ha, Dongyeop Kang, Hyuna Pyo, Jeonghee Ki...
Automated playlist generation is a special form of music recommendation and a common feature of digital music playing applications. A particular challenge of the task is that the ...
We introduce EasyEx, a recommendation-based book exchange system which identifies potential exchanges for a user solely based on the user’s item list. EasyEx is novel, since it...
This paper presents a context-aware mobile shopping recommender system. A critique-based baseline recommender system is enhanced by the integration of context conditions like weat...
Diversity in a recommendation list has been recognized as one of the key factors to increase user’s satisfaction when interacting with a recommender system. Analogously to the m...
Paolo Tomeo, Tommaso Di Noia, Marco de Gemmis, Pas...
A new combination of multiple Information Retrieval approaches are proposed for book recommendation based on complex users’ queries. We used different theoretical retrieval mod...
Everyday video-sharing websites such as YouTube collect large amounts of new multimedia resources. Comments left by viewers often provide valuable information to describe sentimen...
We introduce the 30Music dataset1 , a collection of listening and playlists data retrieved from Internet radio stations through Last.fm API. In this paper we describe the creation...
Roberto Turrin, Massimo Quadrana, Andrea Condorell...
Location and its corollary, distance, are critical concepts in social computing. Recommender systems that incorporate location have generally assumed that the utility of locationa...
Vikas Kumar, Daniel Jarratt, Rahul Anand, Joseph A...
Instagram is a popular social networking application, which allows photo-sharing and applying different photo filters to adjust the appearance of a picture. By applying photo ...