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[求助]
請大家?guī)蛶臀�，會議檢索情況，急用，先謝謝
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我需要檢索頁面的截圖，謝謝大家 發(fā)我郵箱ljfwhy@gmail.com，或者直接貼圖，謝謝！ 一篇：News Recommendation in Forum-Based Social Media 另一篇：A Dynamic Wireless Spectrum Allocation Algorithmfor Sliding Scheduled Demands 急用，如果上午十點之前弄好就萬分感激了 |
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2樓2011-12-09 07:40:02
學(xué)術(shù)還是藝術(shù)
木蟲 (職業(yè)作家)
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3樓2011-12-09 08:40:43
學(xué)術(shù)還是藝術(shù)
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4樓2011-12-09 08:43:53
學(xué)術(shù)還是藝術(shù)
木蟲 (職業(yè)作家)
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5樓2011-12-09 08:49:42
imyourkobe
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【答案】應(yīng)助回帖
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1. User comments for news recommendation in forum-based social media 作者: Li, Q (Li, Qing); Wang, J (Wang, Jia); Chen, YP (Chen, Yuanzhu Peter)1; Lin, ZX (Lin, Zhangxi)2 來源出版物: INFORMATION SCIENCES 卷: 180 期: 24 頁: 4929-4939 DOI: 10.1016/j.ins.2010.08.044 出版年: DEC 15 2010 被引頻次: 1 (來自 Web of Science) 引用的參考文獻: 33 [ 查看 Related Records ] 引證關(guān)系圖 摘要: News recommendation and user interaction are important features in many Web-based news services. The former helps users identify the most relevant news for further information. The latter enables collaborated information sharing among users with their comments following news postings. This research is intended to marry these two features together for an adaptive recommender system that utilizes reader comments to refine the recommendation of news in accordance with the evolving topic. This then turns the traditional "pushdata" type of news recommendation to "discussion" moderator that can intelligently assist online forums. In addition, to alleviate the problem of recommending essentially identical articles, the relationship (duplicate, generalization, or specialization) between recommended news articles and the original posting is investigated. Our experiments indicate that our proposed solutions provide an improved news recommendation service in forum-based social media. (C) 2010 Elsevier Inc. All rights reserved. 文獻類型: Article 語種: English 作者關(guān)鍵詞: News recommendation; Recommender system; Content-based filtering; Collaborative filtering; Social media; User comment; Information retrieval 地址: 1. Mem Univ Newfoundland, St John, NF A1C 5S7, Canada 2. Texas Tech Univ, Lubbock, TX 79409 USA 電子郵件地址: kooliqing@gmail.com 基金資助致謝: 基金資助機構(gòu) 授權(quán)號 Scientific Research Starting Foundation for Returned Overseas Chinese Scholars National Natural Science Foundation of China (NSFC) 60803106 Fok Ying-Tong Education Foundation, China 121068 Natural Sciences and Engineering Research Council (NSERC) of Canada 303958-2010 [顯示基金資助信息][隱藏基金資助信息] This work has been supported by the Scientific Research Starting Foundation for Returned Overseas Chinese Scholars, the National Natural Science Foundation of China (NSFC) (Grant No. 60803106), the Fok Ying-Tong Education Foundation, China (Grant No. 121068), and the Discovery Grants of Natural Sciences and Engineering Research Council (NSERC) of Canada (No. 303958-2010). 出版商: ELSEVIER SCIENCE INC, 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA Web of Science 分類: Computer Science, Information Systems 學(xué)科類別: Computer Science IDS 號: 677DA ISSN: 0020-0255 2.沒有SCI檢索信息。 [ Last edited by imyourkobe on 2011-12-9 at 10:12 ] |
6樓2011-12-09 10:10:17
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