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ACL
2006
15 years 5 months ago
An Iterative Implicit Feedback Approach to Personalized Search
General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It c...
Yuanhua Lv, Le Sun, Junlin Zhang, Jian-Yun Nie, Wa...
ECCV
2008
Springer
16 years 6 months ago
Improving People Search Using Query Expansions
In this paper we are interested in finding images of people on the web, and more specifically within large databases of captioned news images. It has recently been shown that visua...
Thomas Mensink, Jakob J. Verbeek
WSDM
2010
ACM
197views Data Mining» more  WSDM 2010»
15 years 11 months ago
Beyond DCG: user behavior as a predictor of a successful search
Web search engines are traditionally evaluated in terms of the relevance of web pages to individual queries. However, relevance of web pages does not tell the complete picture, si...
Ahmed Hassan, Rosie Jones, Kristina Lisa Klinkner
WWW
2006
ACM
16 years 5 months ago
Retroactive answering of search queries
Major search engines currently use the history of a user's actions (e.g., queries, clicks) to personalize search results. In this paper, we present a new personalized service...
Beverly Yang, Glen Jeh
SIGMOD
2006
ACM
232views Database» more  SIGMOD 2006»
16 years 4 months ago
To search or to crawl?: towards a query optimizer for text-centric tasks
Text is ubiquitous and, not surprisingly, many important applications rely on textual data for a variety of tasks. As a notable example, information extraction applications derive...
Panagiotis G. Ipeirotis, Eugene Agichtein, Pranay ...