Fast Online Learning through Offline Initialization for Time-sensitive Recommendation
Published on Oct 01, 20104066 Views
Recommender problems with large and dynamic item pools are ubiquitous in web applications like content optimization, online advertising and web search. Despite the availability of rich item meta-data,