I see you: Person-of-interest search in social networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Searching for a particular person by specifying her name is one of the essential functions in online social networking services such as Facebook. So many times, however, one would like to find a person but what she knows is few social labels about the target, such as interests, skills, hometown, school, employment, etc. Assume each user is associated a set of social labels, we propose a novel search in online social network, Person-of-Interest (POI) Search, which aims to find a list of desired targets based on a set of user-specified query labels that depict the targets. We develop a greedy heuristic graph search algorithm, which finds the target who not only covers the query labels, but also either possesses better social interactions with peers or has higher social proximity towards the user. Experiments conducted on Facebook and Twitter datasets exhibit the satisfying accuracy and encourage more advanced efforts on POI search.

Original languageEnglish
Title of host publicationSIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages839-842
Number of pages4
ISBN (Electronic)9781450336215
DOIs
Publication statusPublished - 2015 Aug 9
Event38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015 - Santiago, Chile
Duration: 2015 Aug 92015 Aug 13

Publication series

NameSIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015
CountryChile
CitySantiago
Period15-08-0915-08-13

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software

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