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» A study of methods for negative relevance feedback
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SIGIR
2008
ACM
13 years 7 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
TREC
2008
13 years 8 months ago
A Study of Adaptive Relevance Feedback - UIUC TREC 2008 Relevance Feedback Experiments
In this paper, we report our experiments in the TREC 2008 Relevance Feedback Track. Our main goal is to study a novel problem in feedback, i.e., optimization of the balance of the...
Yuanhua Lv, ChengXiang Zhai
COLING
2010
13 years 1 months ago
Negative Feedback: The Forsaken Nature Available for Re-ranking
Re-ranking for Information Retrieval aims to elevate relevant feedbacks and depress negative ones in initial retrieval result list. Compared to relevance feedback-based re-ranking...
Yu Hong, Qing-qing Cai, Song Hua, Jian-Min Yao, Qi...
RIAO
2004
13 years 8 months ago
Combining Positive and Negative Query Feedback in Passage Retrieval
Information Retrieval Systems aim at retrieving relevant documents according to the information needs which users express. Most Information Retrieval Systems focus on passage retr...
Taoufiq Dkaki, Josiane Mothe
ICPR
2004
IEEE
14 years 8 months ago
Group-based Relevance Feedback with Support Vector Machine Ensembles
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...
Chu-Hong Hoi, Michael R. Lyu