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» Novelty and diversity in information retrieval evaluation
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SIGIR
2012
ACM
11 years 10 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet
SIGECOM
2004
ACM
127views ECommerce» more  SIGECOM 2004»
14 years 1 months ago
HYRIWYG: leveraging personalization to elicit honest recommendations
This paper presents HYRIWYG (How You Rate Influences What You Get), a reputation system applicable to Internet Recommendation Systems (RS). The novelty lies in the incentive mecha...
Ana Cristina Bicharra Garcia, Martin Ekstrom, Hans...
WEBI
2009
Springer
14 years 2 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
IIR
2010
13 years 6 months ago
GrOnto: A Granular Ontology for Diversifying Search Results
Results diversification is an approach used in literature to cover the possible interpretations of the results produced by query evaluation. For diversifying search results we pr...
Silvia Calegari, Gabriella Pasi
SIGIR
2005
ACM
14 years 1 months ago
Active feedback in ad hoc information retrieval
Information retrieval is, in general, an iterative search process, in which the user often has several interactions with a retrieval system for an information need. The retrieval ...
Xuehua Shen, ChengXiang Zhai