118 search results - page 7 / 24 » Ranking in context-aware recommender systems |
RECSYS
2010
ACM
14 years 7 months ago
2010
ACM
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
107
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SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
Social tagging is becoming increasingly popular in many Web 2.0 applications where users can annotate resources (e.g. Web pages) with arbitrary keywords (i.e. tags). A tag recomme...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
108
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RECSYS
2009
ACM
15 years 4 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...
WWW
2008
ACM
15 years 10 months ago
2008
ACM
High-quality, personalized recommendations are a key feature in many online systems. Since these systems often have explicit knowledge of social network structures, the recommenda...