Extending HITS algorithm for ranking locations by using geotagged resources

Title
Extending HITS algorithm for ranking locations by using geotagged resources
Author(s)
황도삼Xuan Hau Pham[Xuan Hau Pham]누옌트룽트리정재은[정재은]
Keywords
Social networking (online); HITS algorithms; Similarity measurements; Social network service (SNS); Term Frequency; Algorithms
Issue Date
201409
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.8733, pp.332 - 341
Abstract
The paper focuses on using geotagged resources from the social network service (SNS) for searching the famous places from keyword. We extend the HITS[9] algorithm in order to rank locations which are collected from geotagged resources on SNS. Our approach not only uses the similarity measurement between locations��tags for computing the value of locations but also calculate the term frequency of tags which occur in each location to modify the value of tags for ranking. We implement and show the experimental results with the set of locations from the geotagged resources. ? Springer International Publishing Switzerland 2014.
URI
http://hdl.handle.net/YU.REPOSITORY/30780
ISSN
0302-9743
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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