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Social Search Technique with the Consideration of User Location

Published: 17 July 2017 Publication History

Abstract

Social networking website is now playing very important rule between people and forms strong link when continuous use it. Under this situation, users are usually interested in the content or information that provided by their friends with strong link. Furthermore, due to the popularity of mobile devices, check-in has becoming a very fashion online behavior and therefore large amount of location data have been aggregated. These information are now very valuable for our daily life. For the application of search, these information can be used as the ranking criteria of search.
In this research, we propose a social search architecture based on the data from Facebook. The data then will be processed by CKIP and TF-IDF. Finally, with the combination of term frequency and location information as the criteria of ranking. The system will also be evaluated to prove that the performance of social search engine can be improved by including the location information.

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    MISNC '17: Proceedings of the 4th Multidisciplinary International Social Networks Conference
    July 2017
    332 pages
    ISBN:9781450348812
    DOI:10.1145/3092090
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    Published: 17 July 2017

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    Author Tags

    1. Check-in
    2. Search Engine
    3. Social Networks Analysis
    4. Social Search

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