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Dipandla“ User Profile matching in social network
| Citations: | 12 - 1 self |
BibTeX
@MISC{Raad_dipandla“user,
author = {Elie Raad and Richard Chbeir and Albert Dipanda},
title = {Dipandla“ User Profile matching in social network},
year = {}
}
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Abstract
Abstract—Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrich-ment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Particularly, they assume that two profiles describe the same physical person only if the values of their Inverse Functional Property or IFP (e.g. the email address, homepage, etc.) are the same. However, the observed trend in social networks is not fully compatible with this assumption since users tend to create more than one social network account (for personal use, for work, etc.) while using same or different email addresses. In this work, we address the problem of matching user profiles in its globality by providing a suitable matching framework able to consider all the profile’s attributes. Our frame-work allows users to give more importance to some attributes and assign each attribute a different similarity measure. The set of experiments conducted with our default/recommended attribute/similarity measures shows the superiority of our proposal in comparison with current ones. Index Terms—Social networks; Profile matching; FOAF; I.
Keyphrases
social network dipandla user profile user profile index term social network current one attribute similarity measure suitable matching framework abstract inter-social network operation different email address inverse functional property observed trend email address profile matching different similarity measure several scenario information retrieval physical person social network account personal use related problem data enrich-ment current method data integration
