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» Extending Relevance Model for Relevance Feedback
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ECIR
2004
Springer
13 years 8 months ago
A Simulated Study of Implicit Feedback Models
In this paper we report on a study of implicit feedback models for unobtrusively tracking the information needs of searchers. Such models use relevance information gathered from se...
Ryen W. White, Joemon M. Jose, C. J. van Rijsberge...
ECIR
2007
Springer
13 years 8 months ago
Searching Documents Based on Relevance and Type
This paper extends previous work on document retrieval and document type classification, addressing the problem of ‘typed search’. Specifically, given a query and a designated ...
Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou H...
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
14 years 4 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
CIVR
2007
Springer
102views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Visual information retrieval using synthesized imagery
In this project (VIRSI) we investigate the promising contentbased retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of syn...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
SIGIR
2008
ACM
13 years 7 months ago
Intuition-supporting visualization of user's performance based on explicit negative higher-order relevance
Modeling the beyond-topical aspects of relevance are currently gaining popularity in IR evaluation. For example, the discounted cumulated gain (DCG) measure implicitly models some...
Heikki Keskustalo, Kalervo Järvelin, Ari Pirk...