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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 1 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...
ER
2007
Springer
95views Database» more  ER 2007»
16 years 14 days ago
Providing Semantically Equivalent, Complete Views for Multilingual Access to Integrated Data
Today, there are several approaches supporting an integrated processing of XML and (object-)relational data sources. However, each of these approaches favors a single data model f...
Iryna Kozlova, Norbert Ritter, Martin Husemann
TREC
2007
15 years 7 months ago
Entity-Based Relevance Feedback for Genomic List Answer Retrieval
In this paper we present a system which uses ontological resources and a gene name variation generation tool to expand concepts in the original query. The novelty of our approach ...
Nicola Stokes, Yi Li, Lawrence Cavedon, Eric Huang...
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
15 years 11 months ago
Assessing regret-based preference elicitation with the UTPREF recommendation system
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...
Darius Braziunas, Craig Boutilier
CIKM
2007
Springer
16 years 14 days ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang