Sciweavers

103 search results - page 1 / 21
» PROS: A Personalized Ranking Platform for Web Search
Sort
View
AH
2004
Springer
13 years 10 months ago
PROS: A Personalized Ranking Platform for Web Search
Current search engines rely on centralized page ranking algorithms which compute page rank values as single (global) values for each Web page. Recent work on topic-sensitive PageRa...
Paul-Alexandru Chirita, Daniel Olmedilla, Wolfgang...
WAW
2009
Springer
187views Algorithms» more  WAW 2009»
13 years 11 months ago
Cluster Based Personalized Search
We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [19], we develop and imple...
Hyun Chul Lee, Allan Borodin
DKE
2007
111views more  DKE 2007»
13 years 4 months ago
Category ranking for personalized search
Despite the effectiveness of search engines, the persistently increasing amount of web data continuously obscures the search task. Efforts have thus concentrated on personalized...
Christos Makris, Yannis Panagis, Evangelos Sakkopo...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 11 days 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...
JCIT
2007
91views more  JCIT 2007»
13 years 4 months ago
A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine
Internet search engines identify web pages that contain user-specified keywords, and then rank these pages according to their (heuristically assessed) relevance to the user’s qu...
Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia