Full metadata record

DC FieldValueLanguage
dc.contributor.author황도삼ko
dc.contributor.authorXuan Hau Pham[Xuan Hau Pham]ko
dc.contributor.author누옌트룽트리ko
dc.contributor.author정재은[정재은]ko
dc.date.accessioned2015-12-17T03:59:28Z-
dc.date.available2015-12-17T03:59:28Z-
dc.date.created2015-11-13-
dc.date.issued201409-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.8733, pp.332 - 341-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/YU.REPOSITORY/30780-
dc.description.abstractThe 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.-
dc.language영어-
dc.subjectSocial networking (online)-
dc.subjectHITS algorithms-
dc.subjectSimilarity measurements-
dc.subjectSocial network service (SNS)-
dc.subjectTerm Frequency-
dc.subjectAlgorithms-
dc.titleExtending HITS algorithm for ranking locations by using geotagged resources-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-84921910024-
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE