Sciweavers

277 search results - page 11 / 56
» Implicit user modeling for personalized search
Sort
View

Publication
104views
14 years 4 months ago
Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector
Abstract. This paper provides an overview of Prospector, a personalized Internet meta-search engine, which utilizes a combination of ontological information, ratings-based models o...
Florian König, Lex van Velsen, Alexandros Par...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
BTW
2007
Springer
245views Database» more  BTW 2007»
14 years 1 months ago
From Personal Desktops to Personal Dataspaces: A Report on Building the iMeMex Personal Dataspace Management System
Abstract: We propose a new system that is able to handle the entire Personal Dataspace of a user. A Personal Dataspace includes all data pertaining to a user on all his disks and o...
Jens-Peter Dittrich, Lukas Blunschi, Markus Fä...
SIGIR
2008
ACM
13 years 7 months ago
Task-aware search personalization
Search personalization has been pursued in many ways, in order to provide better result rankings and better overall search experience to individual users [5]. However, blindly app...
Julia Luxenburger, Shady Elbassuoni, Gerhard Weiku...
JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
Learning to Rank for Personalized News Article Retrieval
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
Lorand Dali, Blaz Fortuna, Jan Rupnik