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» A Personalized Retrieval Model based on Influence Diagrams
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CIKM
2009
Springer
15 years 4 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
WWW
2005
ACM
15 years 10 months ago
Guidelines for developing trust in health websites
How do people decide which health websites to trust and which to reject? Thirteen participants all diagnosed with hypertension were invited to search for information and advice re...
Elizabeth Sillence, Pamela Briggs, Lesley Fishwick...
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JCDL
2010
ACM
187views Education» more  JCDL 2010»
14 years 11 months ago
Social network document ranking
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...
Liang Gou, Xiaolong Zhang, Hung-Hsuan Chen, Jung-H...
SIGIR
2006
ACM
15 years 3 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
15 years 2 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim