Paper Info
Title
LIFESTYLE FINDER: Intelligent User Profiling Using Large-Scale Demographic Data
Abstract
A number of approaches have been advanced for taking data about a user's likes and dislikes and generating a general profile of the user. These profiles can be used to retrieve documents matching user interests; recommend music, movies, or other similar products; or carry out other tasks in a specialized fashion. This article presents a fundamentally new method for generating user profiles that takes advantage of a large-scale database of demographic data. These data are used to generalize user-specified data along the patterns common across the population, including areas not represented in the user's original data. I describe the method in detail and present its implementation in the LIFESTYLE FINDER agent, an internet-based experiment testing our approach on more than 20,000 users worldwide.
Year
DOI
Venue
1997
10.1609/aimag.v18i2.1292
AI MAGAZINE
Field
DocType
Volume
Architecture,Yoda,Simulation,Computer science,Mobile agent,Information science,Planner,Artificial intelligence,Software architecture,Robot,Mobile robot
Journal
18
Issue
ISSN
Citations 
2
0738-4602
97
PageRank 
References 
Authors
9.03
0
1
Name
Order
Citations
PageRank
Bruce Krulwich123850.70