15 search results - page 3 / 3 » Probabilistic relevance ranking for collaborative filtering |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
COLING
2010
12 years 12 months ago
2010
This work presents a study to bridge topic modeling and personalized search. A probabilistic topic model is used to extract topics from user search history. These topics can be se...
WSDM
2009
ACM
13 years 11 months ago
2009
ACM
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
WWW
2007
ACM
14 years 5 months ago
2007
ACM
Often scientists seek to search for articles on the Web related to a particular chemical. When a scientist searches for a chemical formula using a search engine today, she gets ar...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Personalized search systems have evolved to utilize heterogeneous features including document hyperlinks, category labels in various taxonomies and social tags in addition to free...