{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:33:06Z","timestamp":1740155586716,"version":"3.37.3"},"reference-count":0,"publisher":"National Library of Serbia","issue":"1","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2015]]},"abstract":"<jats:p>With a large amount of geotagged resources from smart devices, it is\n   important to provide users with intelligent location-based services.\n   Particularly, in this work, we focus on spatial ranking service, which can\n   retrieve a set of relevant resources with a certain tag. This paper designs\n   ranking algorithm in order to find out a list of locations which are\n   collected from geotagged resources on SNSs. As extending HITS algorithm\n   [13], we propose a novel method (called GeoHITS) that can analyze an\n   undirected 2-mode graph composed with a set of tags and a set of locations.\n   Thereby, meaningful relationships between the locations and a set of tags\n   are discovered by integrating several weighting schemes and HITS algorithm.\n   To evaluate the proposed spatial ranking approach, we have shows the\n   experimental results from the recommendation applications. &lt;br&gt;&lt;br&gt;&lt;font color=\"red\"&gt;&lt;b&gt; This article has been corrected. Link to the correction &lt;u&gt;&lt;a href=\"http:\/\/dx.doi.org\/10.2298\/CSIS151203064E\"&gt;10.2298\/CSIS151203064E&lt;\/a&gt;&lt;u&gt;&lt;\/b&gt;&lt;\/font&gt;<\/jats:p>","DOI":"10.2298\/csis141015091t","type":"journal-article","created":{"date-parts":[[2014,12,30]],"date-time":"2014-12-30T08:07:12Z","timestamp":1419926832000},"page":"185-201","source":"Crossref","is-referenced-by-count":12,"title":["Exploiting geotagged resources to spatial ranking by extending HITS algorithm"],"prefix":"10.2298","volume":"12","author":[{"suffix":"Tuong","given":"Nguyen","family":"Tri","sequence":"first","affiliation":[{"name":"Yeungnam University Department of Computer Engineering, Gyeongsan, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"J.","given":"Jason","family":"Jung","sequence":"additional","affiliation":[{"name":"Chung-Ang University, Department of Computer Engineering, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:32:14Z","timestamp":1685349134000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141400091T"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.2298\/csis141015091t","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"type":"print","value":"1820-0214"},{"type":"electronic","value":"2406-1018"}],"subject":[],"published":{"date-parts":[[2015]]}}}