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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 8 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
WISE
2010
Springer
13 years 5 months ago
Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...
Fatih Gedikli, Dietmar Jannach
ICIA
2007
13 years 10 months ago
Effectiveness of Mobile Recommender Systems for Tourist Destinations: A User Evaluation
Mobile recommender systems have the potential to substantially enrich tourist experiences. As their handling marks a big challenge for ordinary users, its acceptance can only be e...
Marko Modsching, Ronny Kramer, Klaus ten Hagen, Ul...
CORR
2007
Springer
135views Education» more  CORR 2007»
13 years 7 months ago
AMIEDoT: An annotation model for document tracking and recommendation service
The primary objective of document annotation in whatever form, manual or electronic is to allow those who may not have control to original document to provide personal view on inf...
Charles A. Robert
ISTA
2004
13 years 9 months ago
Query Graph Visualizer: A Collaborative Querying System
: Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to acc...
Lin Fu, Dion Hoe-Lian Goh, Schubert Shou-Boon Foo,...