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ECIR
2006
Springer
13 years 6 months ago
Using Query Profiles for Clarification
Abstract. The following paper proposes a new kind of relevance feedback. It shows how so called query profiles can be employed for disambiguation and clarification. Query profiles ...
Henning Rode, Djoerd Hiemstra
TREC
2008
13 years 6 months ago
The Impact of Positive, Negative and Topical Relevance Feedback
Abstract This document contains a description of experiments for the 2008 Relevance Feedback track. We experiment with different amounts of feedback, including negative relevance f...
Rianne Kaptein, Jaap Kamps, Djoerd Hiemstra
TREC
2008
13 years 6 months ago
Extending Relevance Model for Relevance Feedback
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users' feedback f...
Le Zhao, Chenmin Liang, Jamie Callan
TREC
2008
13 years 6 months ago
Overview of the TREC 2008 Legal Track
TREC 2008 was the third year of the Legal Track, which focuses on evaluation of search technology for discovery of electronically stored information in litigation and regulatory s...
Douglas W. Oard, Björn Hedin, Stephen Tomlins...
TREC
2008
13 years 6 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
LWA
2008
13 years 6 months ago
On the Topical Structure of the Relevance Feedback Set
We investigate the topical structure of the set of documents used to expand a query in pseudorelevance feedback (PRF). We propose a coherence score to measure the relative topical...
Jiyin He, Martha Larson, Maarten de Rijke
ECIR
2007
Springer
13 years 6 months ago
Incorporating Diversity and Density in Active Learning for Relevance Feedback
Abstract. Relevance feedback, which uses the terms in relevant documents to enrich the user’s initial query, is an effective method for improving retrieval performance. An assoc...
Zuobing Xu, Ram Akella, Yi Zhang 0001
BDA
2007
13 years 6 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
CIVR
2008
Springer
173views Image Analysis» more  CIVR 2008»
13 years 6 months ago
Adaptive multiple feedback strategies for interactive video search
In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relev...
Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong...
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
13 years 6 months ago
Performance evaluation of relevance feedback methods
In this paper we review the evaluation of relevance feedback methods for content-based image retrieval systems. We start out by presenting an overview of current common practice, ...
Mark J. Huiskes, Michael S. Lew