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2005
ACM

Evaluating similarity measures: a large-scale study in the orkut social network

9 years 9 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users based on their collective past behavior. While many similarity measures have been proposed and individually evaluated, they have not been evaluated relative to each other in a large real-world environment. We present an extensive empirical comparison of six distinct measures of similarity for recommending online communities to members of the Orkut social network. We determine the usefulness of the different recommendations by actually measuring users' propensity to visit and join recommended communities. We also examine how the ordering of recommendations influenced user selection, as well as interesting social issues that arise in recommending communities within a real social network. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications-data mining; H.3.5 [Information Stor...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2005
Where KDD
Authors Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
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