【摘要】：隨著移動設備的普及和新聞讀者群體人數的不斷增加,移動新聞推薦已經成為移動推薦領域的熱點之一.如何根據移動設備和新聞特點進行移動新聞推薦,以提高推薦性能和用戶滿意度,成為移動新聞推薦系統的主要任務.文中概括分析了移動新聞推薦的研究現狀,并指出其與傳統新聞推薦、其他移動推薦之間的區(qū)別.從新聞表示方法,移動用戶新聞偏好獲取,上下文感知的移動新聞推薦技術,基于社會化網絡的移動新聞推薦技術,移動新聞展示以及典型應用等六個關鍵方面,對移動新聞推薦領域的最新研究成果進行了詳細的比較、分析和總結.文中還從重點、難點兩個方面討論分析了移動新聞推薦系統面臨的挑戰(zhàn).并指出為了進一步發(fā)展移動新聞推薦系統,未來還需要在數據集獲取,效用評估,結合移動社會化網絡,安全問題,形式化描述等方面深入開展一些研究工作.
[Abstract]:With the popularity of mobile devices and the increasing number of news readers, mobile news recommendation has become one of the hotspots in the field of mobile recommendation. How to recommend mobile news according to the characteristics of mobile devices and news, in order to improve the recommendation performance and user satisfaction, has become the main task of mobile news recommendation system. In this paper, the research status of mobile news recommendation is summarized and analyzed, and the difference between mobile news recommendation and traditional news recommendation and other mobile recommendation is pointed out. This paper makes a detailed comparison, analysis and summary of the latest research results in the field of mobile news recommendation from six key aspects: news representation method, mobile user news preference acquisition, context-aware mobile news recommendation technology, mobile news recommendation technology based on social network, mobile news display and typical applications. This paper also discusses and analyzes the challenges faced by mobile news recommendation system from two aspects: key points and difficulties. It is pointed out that in order to further develop the mobile news recommendation system, some research work needs to be carried out in the future in the aspects of data set acquisition, utility evaluation, combined with mobile social network, security problems, formal description and so on.
【作者單位】： 北京郵電大學智能通信軟件與多媒體北京市重點實驗室;北京郵電大學計算機學院;
【基金】：國家自然科學基金(60872051) 北京市教育委員會共建項目專項資助
【分類號】：TP391.3
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本文編號：2506215