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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
ACL
2011
12 years 11 months ago
Joint Annotation of Search Queries
Marking up search queries with linguistic annotations such as part-of-speech tags, capitalization, and segmentation, is an important part of query processing and understanding in ...
Michael Bendersky, W. Bruce Croft, David A. Smith
WWW
2010
ACM
14 years 2 months ago
Diversifying web search results
Result diversity is a topic of great importance as more facets of queries are discovered and users expect to find their desired facets in the first page of the results. However,...
Davood Rafiei, Krishna Bharat, Anand Shukla
CIKM
2004
Springer
14 years 1 months ago
Swoogle: a search and metadata engine for the semantic web
Swoogle is a crawler-based indexing and retrieval system for the Semantic Web documents – i.e., RDF or OWL documents. It analyzes the documents it discovered to compute useful m...
Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan,...
KES
2006
Springer
13 years 7 months ago
Integrated Document Browsing and Data Acquisition for Building Large Ontologies
Named entities (e.g., "Kofi Annan", "Coca-Cola", "Second World War") are ubiquitous in web pages and other types of document and often provide a simpl...
Felix Weigel, Klaus U. Schulz, Levin Brunner, Edua...