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» Improving search relevance for implicitly temporal queries
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SIGIR
2010
ACM
14 years 1 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
CIKM
2008
Springer
13 years 11 months ago
Modeling multi-step relevance propagation for expert finding
An expert finding system allows a user to type a simple text query and retrieve names and contact information of individuals that possess the expertise expressed in the query. Thi...
Pavel Serdyukov, Henning Rode, Djoerd Hiemstra
MM
2010
ACM
151views Multimedia» more  MM 2010»
13 years 10 months ago
Explicit and implicit concept-based video retrieval with bipartite graph propagation model
The major scientific problem for content-based video retrieval is the semantic gap. Generally speaking, there are two appropriate ways to bridge the semantic gap: the first one is...
Lei Bao, Juan Cao, Yongdong Zhang, Jintao Li, Ming...
ISAAC
2005
Springer
138views Algorithms» more  ISAAC 2005»
14 years 3 months ago
On the Complexity of Rocchio's Similarity-Based Relevance Feedback Algorithm
In this paper, we prove for the first time that the learning complexity of Rocchio’s algorithm is O(d+d2 (log d+log n)) over the discretized vector space {0, . . . , n − 1}d ,...
Zhixiang Chen, Bin Fu
IRFC
2011
Springer
13 years 1 months ago
Combining Interaction and Content for Feedback-Based Ranking
The paper is concerned with the design and the evaluation of the combination of user interaction and informative content features for implicit and pseudo feedback-based document re...
Emanuele Di Buccio, Massimo Melucci, Dawei Song