Difference between revisions of "Building User Interest Profiles from Wikipedia Clusters"
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| + | | title = Building User Interest Profiles from Wikipedia Clusters | ||
| + | | date = 2011 | ||
| + | | authors = [[Jinming Min]]<br />[[Gareth J. F. Jones]] | ||
| + | | link = http://doras.dcu.ie/16398/ | ||
| + | }} | ||
'''Building User Interest Profiles from Wikipedia Clusters''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Jinming Min]] and [[Gareth J. F. Jones]]. | '''Building User Interest Profiles from Wikipedia Clusters''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Jinming Min]] and [[Gareth J. F. Jones]]. | ||
== Overview == | == Overview == | ||
Users of search systems are often reluctant to explicitly build profiles to indicate their search interests. Thus automatically building user profiles is an important research area for personalized search. One difficult component of doing this is accessing a knowledge system which provides broad coverage of user search interests. In this work, authors describe a | Users of search systems are often reluctant to explicitly build profiles to indicate their search interests. Thus automatically building user profiles is an important research area for personalized search. One difficult component of doing this is accessing a knowledge system which provides broad coverage of user search interests. In this work, authors describe a | ||
Revision as of 10:29, 27 February 2021
Authors | Jinming Min Gareth J. F. Jones |
|---|---|
Publication date | 2011 |
Links | Original |
Building User Interest Profiles from Wikipedia Clusters - scientific work related to Wikipedia quality published in 2011, written by Jinming Min and Gareth J. F. Jones.
Overview
Users of search systems are often reluctant to explicitly build profiles to indicate their search interests. Thus automatically building user profiles is an important research area for personalized search. One difficult component of doing this is accessing a knowledge system which provides broad coverage of user search interests. In this work, authors describe a
