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» Relevance Feedback Models for Recommendation
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ADBIS
2009
Springer
170views Database» more  ADBIS 2009»
14 years 2 months ago
Shall I Trust a Recommendation? Towards an Evaluation of the Trustworthiness of Recommender Sites
We present a preliminary study the aim of which is to provide a high level model for the evaluation of the trustworthiness of recommender systems as e-commerce services. We identif...
Gabriele Lenzini, Ynze van Houten, Wolf Huijsen, M...
SIGIR
2006
ACM
14 years 1 months ago
Improving the estimation of relevance models using large external corpora
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Fernando Diaz, Donald Metzler
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
14 years 1 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
MIR
2010
ACM
264views Multimedia» more  MIR 2010»
14 years 1 months ago
Quest for relevant tags using local interaction networks and visual content
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...
IPM
2008
93views more  IPM 2008»
13 years 7 months ago
A new robust relevance model in the language model framework
ct 8 In this paper, a new robust relevance model is proposed that can be applied to both pseudo and true relevance feedback 9 in the language-modeling framework for document retrie...
Xiaoyan Li