政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/51210

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/51210

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题名:	應用於區域觀光產業之色彩意象化目的地推薦研究 Color imagery for destination recommendation in regional tourism
作者:	楊淳雅 Yang, Chun Ya
贡献者:	苑守慈 Yuan, Soe Tysr 楊淳雅 Yang, Chun Ya
关键词:	推薦系統意象模型建立意象混合旅遊推薦色彩科學 Recommendation System Image Modeling Image Mixing Destination Recommendation Color Science
日期:	2010
上传时间:	2011-10-05 14:32:42 (UTC+8)
摘要:	本研究提出一創新的旅遊推薦服務系統，以意象模型作為旅客意象(包含自我意象和情感需求)、景點意象、以及中小企業所提供服務之意象在系統裡的一致性表達。以上所提及之利益關係人的意象會經由數個系統模組進行建立與管理，並演化以反映出意象擁有者在真實世界的狀態。除此之外，本系統為動態運行，強調旅遊產業裡各個利益關係人角色之間的互動關係。每當互動發生，相關意象模型會進行混合，演繹出額外的意象屬性，以進行意象模型之調整。另外，基於顏色與情緒可相互對應的相關研究，我們將色彩理論運用於意象媒合與意象混合模組之中，藉此為旅客推薦符合其情感需求的旅遊景點或服務。本研究所提出一系列基於意象衍伸的系統化方法，可被應用於各種不同的領域。我們相信本研究可以為其它領域之實務應用與學術探討帶來顯著的貢獻。 This research presents a recommendation service system that considers the image as a uniform representation of tourist images (include self-image and emotional needs), destinations, and local SMEs. Images carried by each stakeholder roles are modeled and managed by several system modules, and they also evolve to reflect the real time situations of each entity. In addition, the system is dynamic in terms of its emphasis on the relationships among these roles. When interactions occur, image mixing will be conducted to derive extra image attributes for the adjustments of the images. Besides, since colors can be mapped onto emotions, we use colors to operate the image matching and mixing process to find good matches of destinations for the recommendation. This image related approach we proposed is domain-independent. We believe our method could contribute to other areas of practical applications and academic studies.
參考文獻:	[1] Bridge, D., GöKer, M. H., McGINTY, L., and Smyth, B. 2005. “Case-based recommender systems,” The Knowledge Engineering Review (20:03), pp. 315-320. [2] Broackes, J. 1992. “The autonomy of colour,” Reduction, explanation, and realism, Oxford: Clarendon Press, pp. 421-465. [3] Burke, R. 2002. “Hybrid recommender systems: survey and experiments,” User Modeling and User-Adapted Interaction (12:4), pp. 331-370. [4] Cohen-Or, D., Sorkine, O., Gal, R., Leyvand, T., and Xu, Y. 2006. “Color harmonization,” In ACM SIGGRAPH 2006 PapersBoston, Massachusetts: ACM, pp. 624-630. [5] Condliff, M. K., Lewis, D. D., and Madigan, D. 1999. “Bayesian mixed-effects models for recommender systems,” In Conference ACM SIGIR’99 Workshop on Recommender Systems: Algorithms and Evaluation, August 19, 1999, California, U.S.A. [6] Corridoni, J., Del Bimbo, A., and Pala, P. 1999. “Image retrieval by color semantics,” Multimedia Systems (7:3), pp. 175-183. [7] Echtner, C. M., and Ritchie, J. B. 2003. “The meaning and measurement of destination image,” The Journal of Tourism Studies (14:1), pp. 37-48. [8] Edvardsson, B. 2005. “Cocreating customer value through hyperreality in the prepurchase service experience,” Journal of Service Research (8:2), pp. 149-161. [9] Fairman, H. S., Brill, M. H., and Hemmendinger, H. 1997. “How the cie 1931 color-matching functions were derived from wright-guild data,” Color Research & Application (22:1), pp. 11-23. [10] Foltz, P. W. 1990. “Using latent semantic indexing for information filtering,” SIGOIS Bull. (11:2-3), pp. 40-47. [11] Foo, J. 2004. “Roles tourists play an Australian perspective,” Annals of Tourism Research (31:2), pp. 408-427. [12] Gibson, H., and Yiannakis, A. 2002. “Tourist roles: needs and the lifecourse,” Annals of Tourism Research (29:2), pp. 358-383. [13] Gnoth, J. 1997. “Tourism motivation and expectation formation,” Annals of Tourism Research (24:2), pp. 283-304. [14] Göksedef, M., and Gündüz-Ögüdücü, S. 2010. “Combination of web page recommender systems,” Expert Systems with Applications (37:4), pp. 2911-2922. [15] Hatala, M., and Wakkary, R. 2005. “Ontology-based user modeling in an augmented audio reality system for museums,” User Modeling and User-Adapted Interaction (15:3), pp. 339–380. [16] Huang, S. 2008. “Comparision of utility-based recommendation methods,” In Proceedings of the Pacific Asia Conference on Information Systems 2008, paper 21. [17] Jennings, A., and Higuchi, H. 1993. “A user model neural network for a personal news service,” User Modeling and User-Adapted Interaction (3:1), pp. 1-25. [18] Kobayashi, S. 1981. “The aim and method of the color image scale,” Color Research & Application (6:2), pp. 93-107. [19] Kobayashi, S. 1992. Color image scale, (1st edition, April 15, 1992) New York, NY: Kodansha International. [20] Kobayashi, S. 2001. カラーイメージスケール改訂版, (改訂版, November 14, 2001) Japan, JP: 講談社. [21] Lepp, A., and Gibson. 2003. “Tourist roles, perceived risk and international tourism,” Annals of Tourism Research (30:3), pp. 606–624. [22] Lucchese, L., and Mitra, S. 2000. “Filtering color images in the xyy color space,” In Proceedings 2000 International Conference on Image Processing, Presented at the 7th IEEE International Conference on Image Processing, Vancouver, BC, Canada, pp. 500-503. [23] Lucchese, L., Mitra, S., and Mukherjee, J. 2001. “A new algorithm based on saturation and desaturation in the xy chromaticity diagram for enhancement and re-rendition of color images,” In Proceedings 2001 International Conference On Image Processing (2), pp. 1077-1080. [24] Mackay, K., and Fesenmaier, D. 1997. “Pictorial element of destination image formation,” Annals of Tourism Research (24), pp. 537-565. [25] van Meteren, R., and van Someren, M. 2000. “Using content-based filtering for recommendation,” In Proceedings of the Machine Learning in the New Information Age (4203/2006), pp. 47-56: MLnet/ECML2000 Workshop, Barcelona, May 30, 2000. [26] Nijdam, N. A. 2005. Mapping emotion to color, The Netherlands: University of Twente. [27] OECD. 2010. “Oecd tourism trends and policies 2010,” Paris, Organisation for Economic Co-operation and Development. [28] Ou, L., Luo, M. R., Woodcock, A., and Wright, A. 2004. “A study of colour emotion and colour preference. part i: colour emotions for single colours,” Color Research & Application (29:3), pp. 232-240. [29] Pei, S., Zeng, Y., and Chang, C. 2004. “Virtual restoration of ancient chinese paintings using color contrast enhancement and lacuna texture synthesis,” IEEE Transactions on Image Processing (13:3), pp. 416-429. [30] Pine, B. J., and Gilmore, J. H. 1998. “Welcome to the experience economy,” Harvard Business Review (76:4), pp. 97-105. [31] Pitt, L. F., Watson, R. T., and Kavan, C. B. 1995. “Service quality: a measure of information systems effectiveness,” MIS Quarterly (19:2), pp. 173-187. [32] Quader, M. 2009. “Manager and patient perceptions of a quality outpatient service: measuring the gap,” Journal of Services Research (9:1), pp. 109. [33] Ricci, F. 2002. “Travel recommender systems,” IEEE Intelligent Systems (17:6), pp. 55-57. [34] Robledo, M. A. 2001. “Measuring and managing service quality: integrating customer expectations,” Managing Service Quality (11:1), pp. 22 - 31. [35] Sandström, S., Edvardsson, B., Kristensson, P., and Magnusson, P. 2008. “Value in use through service experience,” Managing Service Quality (18:2), pp. 112-126. [36] Skadberg, Y. X., Skadberg 2, A. N., and Kimmel, J. R. 2005. “Flow experience and its impact on the effectiveness of a tourism website,” Information Technology & Tourism, (7), pp. 147–156. [37] Solli, M., and Lenz, R. 2009. “Color based bags-of-emotions,” In Computer Analysis of Images and Patterns, pp. 573-580. [38] Stamboulis, Y., and Skayannis, P. 2003. “Innovation strategies and technology for experience-based tourism,” Tourism Management (24:1), pp. 35-43. [39] Suk, H., and Irtel, H. 2010. “Emotional response to color across media,” Color Research & Application (35:1), pp. 64-77. [40] Towle, B., and Quinn, C. 2000. “Knowledge based recommender systems using explicit user models,” In Knowledge-Based Electronic Markets, Papers from the AAAI Workshop, Presented at the AAAI Technical Report, Menlo Park, CA: AAAI Press, pp. 74-77. [41] Truong, T., and Foster, D. 2006. “Using holsat to evaluate tourist satisfaction at destinations: the case of australian holidaymakers in vietnam,” Tourism Management (27:5), pp. 842-855. [42] Wang, De Vries, A. P., and Reinders, M. J. T. 2006. “Unifying user-based and item-based collaborative filtering approaches by similarity fusion,” In Sigir ’06: Proceedings of the 29th Annual International Acm Sigir Conference on Research and Development in Information Retrieval, pp. 501-508. [43] Weng, S., Lin, B., and Chen, W. 2009. “Using contextual information and multidimensional approach for recommendation,” Expert Systems with Applications (36:2, Part 1), pp. 1268-1279. [44] Wu, X., Hua, Y., Wang, Z., Zheng, J., Yin, S., Deng, J., Wu 2, K., Songliu, Zhu, F., and Niu, X. 2006. “Multi-color display and its model for a white oled combined with optical color filters,” Optik - International Journal for Light and Electron Optics (117:8), pp. 373-376. [45] Xin, J. H., Cheng, K., Chong, T., Tetsuya Sato, Taeko Nakamura, Kanij Kajiwara, and Hiroshi Hoshino. 1998. “Quantifying colour emotion - what has been achieved,” Research Journal of Textile and Apparel (2:1), pp. 46-54. [46] Yang, C., and Chen. 2008. “Colored visual cryptography scheme based on additive color mixing,” Pattern Recogn. (41:10), pp. 3114-3129. [47] Yuksel, F., and Bilim, Y. 2009. “Interactions between visual appeals, holiday motivations, destination personality and the self-image: implications for destination advertising,” Journal of Travel and Tourism Research, fall 2009, pp. 75-104. [48] Zhang, M., Chen, Y., Zhang 2, X., and Lai, J. 2009. “Study on the recommendation technology for tourism information service,” In 2009 Second International Symposium on Computational Intelligence and Design, Presented at the 2009 Second International Symposium on Computational Intelligence and Design (ISCID), Changsha, Hunan, China, pp. 410-415.
描述:	碩士國立政治大學資訊管理研究所 97356009 99
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0097356009
数据类型:	thesis
显示于类别:	[資訊管理學系] 學位論文

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