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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 2 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...
APWEB
2005
Springer
14 years 7 days ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
ICCSA
2010
Springer
14 years 1 months ago
Personalization of Search Profile Using Ant Foraging Approach
This paper proposes a three-stage analysis of web navigation that yields search results being relevant to the user’s interests and preferences. The approach is inspired by ant fo...
Pattira Phinitkar, Peraphon Sophatsathit
IUI
2010
ACM
14 years 3 months ago
Personalized news recommendation based on click behavior
Online news reading has become very popular as the web provides access to news articles from millions of sources around the world. A key challenge of news websites is to help user...
Jiahui Liu, Peter Dolan, Elin Rønby Pederse...
ISM
2006
IEEE
86views Multimedia» more  ISM 2006»
14 years 22 days ago
OreDesk: A Tool for Retrieving Data History Based on User Operations
During day-to-day activities, a user refers to various data items on a PC, such as documents, images, and audio clips. However, when the number of items in the history increases, ...
Ryo Ohsawa, Kazunori Takashio, Hideyuki Tokuda