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SIGIR
2005
ACM
14 years 3 months ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
INEX
2005
Springer
14 years 3 months ago
TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback
Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensi...
Vojkan Mihajlovic, Georgina Ramírez, Thijs ...
ACMICEC
2007
ACM
245views ECommerce» more  ACMICEC 2007»
14 years 1 months ago
Keyword generation for search engine advertising using semantic similarity between terms
An important problem in search engine advertising is keyword1 generation. In the past, advertisers have preferred to bid for keywords that tend to have high search volumes and hen...
Vibhanshu Abhishek, Kartik Hosanagar
ITNG
2006
IEEE
14 years 3 months ago
A Study of Self-Organizing Map in Interactive Relevance Feedback
With the vast amount of potential relevant documents on the Web, a key question for a retrieval system is how to achieve a high accuracy retrieval under current Web setting. The w...
Daqing He
WISE
2000
Springer
14 years 2 months ago
WebSail: From On-Line Learning to Web Search
In this paper we report our research on building WebSail { an intelligent web search engine that is able to perform real-time adaptive learning. WebSail learns from the user'...
Zhixiang Chen, Xiannong Meng, Binhai Zhu, Richard ...