Paper Info
Title
SEARCHY: An Agent to Personalize Search Results
Abstract
User's behaviour in browsing sessions is a valuable source of information useful to analyze user interests and personalize the human-computer interaction during information seeking tasks. In this paper we present a simple way to machine-learn user profile and employ it to improve Web searches. Searchy is a personal agent, embedded in the Web browser, able to sense user's tastes, to assist her/him during query formulation phase and, finally, to filter and sort the results according to the user's needs. Searchy uses the DART P2P network to store user's profiles in order to enable collaborative recommendations.
Year
DOI
Venue
2008
10.1109/ICIW.2008.86
ICIW
Keywords
Field
DocType
personal agent,collaborative recommendation,web search,user profile,user interest,dart p2p network,sense user,web browser,browsing session,human-computer interaction,personalize search results,search engines,feedback,algorithm design and analysis,web pages,human computer interaction,information retrieval,machine learning,software agents,user modeling,user model
World Wide Web,User profile,Web page,Information seeking,Computer science,sort,Software agent,User modeling,User interface design,User agent,Database
Conference
Citations 
PageRank 
References 
7
0.72
20
Authors
2
Name
Order
Citations
PageRank
Ivan Marcialis192.83
Emanuela De Vita283.13