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1Conference
المؤلفون: Tsao, Nai-Lung, Kuo, Chin-Hwa, Guo, Ting-Lun, Sun, Tzu-Jui
المصدر: 2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)
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المؤلفون: Tsao, Nai-Lung, Kuo, Chin-Hwa, Guo, Ting-Lun, Sun, Tzu-Jui
Relation: pp. 208-211; 議程連結 http://www.iaiai.org/conference/aai2017/program-list/; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112555
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المؤلفون: 孫慈睿, Sun, Tzu-Jui
المساهمون: 淡江大學資訊管理學系碩士班, 蕭瑞祥, 戴敏育
مصطلحات موضوعية: 推薦系統, 文字探勘, 意見單元, 行動遊戲, Recommendation Systems, text mining, Comments unit, Mobile Games
وصف الملف: 144 bytes; text/html
Relation: 參考文獻 [1] 凌伊亭. (2013). 口碑對消費者的績效評估之影響-以免費行動遊戲為例. [2] 吳志宏. (2004). 以隱性回饋為基礎的自動化推薦機制. [3] 孫瑛澤, 陳建良, 劉峻杰, 劉昭麟, & 蘇豐文. (2010). 中文短句之情緒分類. [4] 張雅喬. (2015). 利用使用者評論幫助協同過濾的評分預測. 臺灣大學資訊工程學研究所學位論文. [5] 施喬心. (2014). 探討 App 的內外部線索及產品類型對下載意願的影響. [6] 李孟潔. (2009). 利用機器學習作法之中文意見分析. [7] 林祐任. (2015). 未來性資訊檢索系統基於網路論壇之研究. 淡江大學資訊管理學系碩士班學位論文. [8] 楊盛帆. (2009). 以整合式規則來做網路論壇上的 3c 產品口碑分析. [9] 簡之文. (2012). 部落格文章情感分析之研究. 淡江大學資訊管理學系碩士班學位論文. [10] 蘇柏全, 陳正忠, & 楊彥甫. (2015). 遊戲類 App: 下載因素, 下載機率, 市場佔有率, 以及 google 與 apple 平台間掠奪率. Electronic Commerce Studies, 13(1), 113-140. [11] 邱鴻達, & 梁婷. (2010). 意見探勘在中文電影評論之應用, [12] 陳維君. (2013). 網路意見分析與意見調查比較之研究: 以公共議題為例. [13] 黃心宜. (2014). 基於影響力分析之意見單元評價的研究. 淡江大學資訊管理學系碩士班學位論文. [14] 羅健銘. (2001). 協同過濾於網站推薦之研究. 臺北科技大學商業自動化與管理研究所碩士論文. [15] 李宜樺, & 黃純敏. (2006). 改良式階層聚合演算法之研究. 國立雲林科技大學資訊管理系碩士班. [16] 王崇軒. (2011). 探討 Facebook, 網路論壇, 官方討論區不同社群成員在虛擬品牌社群互動關係之比較. [17] 崔懷芝. (2014). 量表信度的測量：Kappa統計量之簡介, 2月, http://biostatdept.cmu.edu.tw/doc/epaper_c/2.pdf [18] Huang, Y. (2015). 以遊戲影片為例探討藉由使用者認知之相似因素改善手機遊戲推薦系統. 臺灣大學資訊工程學研究所學位論文 [19] 殷健翔. (2011). 網路口碑對線上應用程式的購買意圖之影響-以Apple app store 為例. 國立中央大學資訊管理研究所學位論文 [20] 鍾鳴遠. (2014). 以理性行為理論探討使用者對於 App 平台的信任, 網路口碑與品牌忠誠度對於 app 使用意圖之影響. 成功大學工程管理碩士在職專班學位論文 [21] Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. Knowledge and Data Engineering, IEEE Transactions on, 17(6), pp. 734-749. [22] Dhillon, N. (1995). Achieving Effective Personalization and Customization using Collaborative Filtering, [23] Ding, X., Liu, B., & Yu, P. S. (2008). A holistic lexicon-based approach to opinion mining. Paper presented at the Proceedings of the 2008 International Conference on Web Search and Data Mining, pp. 231-240. [24] Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. Paper presented at the Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168-177. [25] Hu, M., & Liu, B. (2004). Mining opinion features in customer reviews. Paper presented at the Aaai, , 4. (4) pp. 755-760. [26] Liu, B., Hu, M., & Cheng, J. (2005). Opinion observer: Analyzing and comparing opinions on the web. Paper presented at the Proceedings of the 14th International Conference on World Wide Web, pp. 342-351. [27] Nunamaker Jr, J. F., Chen, M., & Purdin, T. D. (1990). Systems development in information systems research. Journal of Management Information Systems, 7(3), pp. 89-106. [28] Schafer, J. B., Konstan, J., & Riedl, J. (1999). Recommender systems in e-commerce. Paper presented at the Proceedings of the 1st ACM Conference on Electronic Commerce, pp. 158-166. [29] Wang, J., & Lee, C. (2011). Unsupervised opinion phrase extraction and rating in chinese blog posts. Paper presented at the Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on, pp. 820-823. [30] Herlocker, J. L., Konstan, J. A., & Riedl, J. (2000). Explaining collaborative filtering recommendations. In Proceedings of the 2000 ACM conference on Computer supported cooperative work (pp. 241-250). ACM. [31] Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), pp. 9-30. [32] Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. Journal of consumer research, 17(4), 454-462. [33] Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. The Journal of Marketing, 50-68. [34] Gelb, B. D., & Sundaram, S. (2002). Adapting to “word of mouse”. Business Horizons, 45(4), 21-25. [35] Hennig‐Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word‐of‐mouth via consumer‐opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of interactive marketing, 18(1), 38-52. [36] Morinaga, S., Yamanishi, K., Tateishi, K., & Fukushima, T. (2002). Mining product reputations on the web. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 341-349). ACM. [37] Kobayashi, N., Inui, K., Matsumoto, Y., Tateishi, K., & Fukushima, T. (2004). Collecting evaluative expressions for opinion extraction. In International Conference on Natural Language Processing (pp. 596-605). Springer Berlin Heidelberg. [38] Ku, L. W., & Chen, H. H. (2007). Mining opinions from the Web: Beyond relevance retrieval. Journal of the American Society for Information Science and Technology, 58(12), 1838-1850.; U0002-0107201616074300; http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/111136; http://tkuir.lib.tku.edu.tw:8080/dspace/bitstream/987654321/111136/1/index.html
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المؤلفون: 孫慈睿, Sun, Tzu-Jui
المساهمون: 淡江大學資訊管理學系碩士班, 蕭瑞祥, 戴敏育
مصطلحات موضوعية: 推薦系統, 文字探勘, 意見單元, 行動遊戲, Recommendation Systems, text mining, Comments unit, Mobile Games, lang, socio