81 search results - page 8 / 17 » Improving Case-Based Recommendations Using Implicit Feedback |
AIRS
2006
Springer
13 years 11 months ago
2006
Springer
Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of ...
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
EPIA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...