70 search results - page 7 / 14 » Two-Stage Approach to Item Recommendation from User Sessions |
DL
2000
Springer
14 years 27 days ago
2000
Springer
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
SIGIR
2006
ACM
14 years 2 months ago
2006
ACM
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
IAT
2009
IEEE
14 years 3 months ago
2009
IEEE
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
ICWE
2010
Springer
13 years 7 months ago
2010
Springer
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
WWW
2009
ACM
14 years 9 months ago
2009
ACM
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...