SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
Short search engine queries do not provide contextual information, making it difficult for traditional search engines to understand what users are really requesting. One approach ...
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
ICCBR
2009
Springer
13 years 11 months ago
2009
Springer
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help use...
ENTER
2009
Springer
13 years 11 months ago
2009
Springer
Conversational recommender systems support human-computer interaction strategies in order to assist online tourists in the important activity of dynamic packaging, i.e., in buildi...