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dc.contributor.authorChiu, Po-Huanen_US
dc.contributor.authorKao, Gloria Yi-Minen_US
dc.contributor.authorLo, Chi-Chunen_US
dc.date.accessioned2014-12-08T15:48:36Z-
dc.date.available2014-12-08T15:48:36Z-
dc.date.issued2010-08-01en_US
dc.identifier.issn1071-5819en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.ijhcs.2010.03.005en_US
dc.identifier.urihttp://hdl.handle.net/11536/32326-
dc.description.abstractCompared to newspaper columnists and broadcast media commentators, bloggers do not have organizations actively promoting their content to users; instead, they rely on word-of-mouth or casual visits by web surfers. We believe the WAP Push service feature of mobile phones can help bridge the gap between internet and mobile services, and expand the number of potential blog readers. Since mobile phone screen size is very limited, content providers must be familiar with individual user preferences in order to recommend content that matches narrowly defined personal interests. To help identify popular blog topics, we have created (a) an information retrieval process that clusters blogs into groups based on keyword analyses, and (b) a mobile content recommender system (M-CRS) for calculating user preferences for new blog documents. Here we describe results from a case study involving 20,000 mobile phone users in which we examined the effects of personalized content recommendations. Browsing habits and user histories were recorded and analyzed to determine individual preferences for making content recommendations via the WAP Push feature. The evaluation results of our recommender system indicate significant increases in both blog-related push service click rates and user time spent reading personalized web pages. The process used in this study supports accurate recommendations of personalized mobile content according to user interests. This approach can be applied to other embedded systems with device limitations, since document subject lines are elaborated and more attractive to intended users. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectRecommender systemen_US
dc.subjectMobile servicesen_US
dc.subjectBlogen_US
dc.subjectContent pushen_US
dc.subjectRecommendationen_US
dc.titlePersonalized blog content recommender system for mobile phone usersen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ijhcs.2010.03.005en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIESen_US
dc.citation.volume68en_US
dc.citation.issue8en_US
dc.citation.spage496en_US
dc.citation.epage507en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000279067300004-
dc.citation.woscount9-
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