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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 9 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
IJCAI
2001
13 years 10 months ago
Keyword Spices: A New Method for Building Domain-Specific Web Search Engines
This paper presents a new method for building domain-specific web search engines. Previous methods eliminate irrelevant documents from the pages accessed using heuristics based on...
Satoshi Oyama, Takashi Kokubo, Toru Ishida, Teruhi...
SIGIR
2008
ACM
13 years 8 months ago
Using parsimonious language models on web data
In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefor...
Rianne Kaptein, Rongmei Li, Djoerd Hiemstra, Jaap ...
DAGSTUHL
2007
13 years 10 months ago
Exploiting Community Behavior for Enhanced Link Analysis and Web Search
Methods for Web link analysis and authority ranking such as PageRank are based on the assumption that a user endorses a Web page when creating a hyperlink to this page. There is a...
Julia Luxenburger, Gerhard Weikum
SIGIR
2010
ACM
14 years 11 days ago
Studying trailfinding algorithms for enhanced web search
Search engines return ranked lists of Web pages in response to queries. These pages are starting points for post-query navigation, but may be insufficient for search tasks involvi...
Adish Singla, Ryen White, Jeff Huang