We investigate how metrics that can be measured offline can be used to predict the online performance of recommender systems, thus avoiding costly A-B testing. In addition to accu...
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...