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» Ranking in context-aware recommender systems
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SIGIR
2008
ACM
13 years 9 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
IFIPTM
2010
113views Management» more  IFIPTM 2010»
13 years 8 months ago
Impact of Trust Management and Information Sharing to Adversarial Cost in Ranking Systems
Ranking systems such as those in product review sites and recommender systems usually use ratings to rank favorite items based on both their quality and popularity. Since higher ra...
Le-Hung Vu, Thanasis G. Papaioannou, Karl Aberer
ECIR
2009
Springer
14 years 7 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 7 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme
DEXA
2008
Springer
181views Database» more  DEXA 2008»
13 years 11 months ago
Query Recommendation Using Large-Scale Web Access Logs and Web Page Archive
Query recommendation suggests related queries for search engine users when they are not satisfied with the results of an initial input query, thus assisting users in improving sear...
Lin Li, Shingo Otsuka, Masaru Kitsuregawa