604 search results - page 20 / 121 » Preference Networks: Probabilistic Models for Recommendation... |
AINA
2009
IEEE
14 years 18 days ago
2009
IEEE
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
EEE
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper focuses on question selection methods for conversational recommender systems. We consider a scenario, where given an initial user query, the recommender system may ask ...
ITCC
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
RECSYS
2009
ACM
14 years 2 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 ...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...