计算机科学 ›› 2017, Vol. 44 ›› Issue (10): 1-6.doi: 10.11896/j.issn.1002-137X.2017.10.001
• • 下一篇
常亮,曹玉婷,孙文平,张伟涛,陈君同
CHANG Liang, CAO Yu-ting, SUN Wen-ping, ZHANG Wei-tao and CHEN Jun-tong
摘要: 为用户提供个性化推荐服务并提高推荐的准确度和用户满意度,是当前旅游推荐系统的主要研究任务。文中分析了旅游推荐系统与传统推荐系统的异同点,并从基于内容的推荐、基于协同过滤的推荐、基于知识的推荐、基于人口统计的推荐、混和型推荐以及基于位置感知的推荐共6个方面考查了旅游推荐的研究现状。在此基础上,给出了旅游推荐系统的一个总体框架。最后,总结分析了旅游推荐系统面临的6个重点和难点问题,并指出了下一步需要关注的研究方向。
[1] BYKZKAN G,ERGN B.Intelligent system applications in electronic tourism[J].Expert Systems with Applications,2011,38(6):6586-6598. [2] GAO H,TANG J,LIU H.Addressing the cold-start problem in location recommendation using geo-social correlations[J].Data Mining and Knowledge Discovery,2015,29(2):299-323. [3] LI R,LI M Q,GUO W Q.Research on Collaborative Filtering Algorithm with Improved Similarity[J].Computer Science,2016,3(12):206-208,0.(in Chinese) 李容,李明奇,郭文强.基于改进相似度的协同过滤算法研究[J].计算机科学,2016,43(12):206-208,240. [4] RICCI F,ROKACH L,SHAPIRA B.Introduction to recommender systems handbook[M]∥Recommender Systems Handbook.New York:Springer,2011:1-35. [5] ASABERE N Y.Towards a viewpoint of context-aware recommender systems (CARS) and services[J].International Journal of Computer Science and Telecommunications,2013,4(1):10-29. [6] CAI H N,CHEN C,WEN J H,et al.Personalized LocationRecommendation Algorithm Research Based on User Check-ins and Geographical Properties[J].Computer Science,2016,3(12):163-167,8.(in Chinese) 蔡海尼,陈程,文俊浩,等.基于用户签到和地理属性的个性化位置推荐算法研究[J].计算机科学,2016,3(12):163-167,178. [7] HASUIKE T,KATAGIRI H,TSUDA H.A New Recommen-dation System for Personal Sightseeing Route from Subjective and Objective Evaluation of Tourism Information[J].Information Engineering Express,2016,2(3):1-10. [8] BOUROS P,LATHIA N,RENZ M,et al.LocalRec'15:Workshop on Location-Aware Recommendations[C]∥Proceedings of the 9th ACM Conference on Recommender Systems.ACM,2015:351-352. [9] GARCIA I,SEBASTIA L,ONAINDIA E.On the design of individual and group recommender systems for tourism[J].Expert Systems with Applications,2011,38(6):7683-7692. [10] LU E H C,FANG S H,TSENG V S.Integrating tourist packages and tourist attractions for personalized trip planning based on travel constraints[J].GeoInformatica,2016,20(4):741-763. [11] FU Y P,QIU Y H.Method of Personalized Collaboration Filter Recommendation Based on Bayesian Network[J].Computer Science,2016,3(9):266-268.(in Chinese) 付永平,邱玉辉.一种基于贝叶斯网络的个性化协同过滤推荐方法研究[J].计算机科学,2016,3(9):266-268. [12] MORENO A,VALLS A,SERN D,et al.SigTur/E-Destination:ontology-based personalized recommendation of tourism and leisure activities[J].Engineering Applications of Artificial Intelligence,2013,6(1):633-651. [13] FENZA G,FISCHETTI E,FUMO D,et al.A hybrid contextaware system for tourist guidance based on collaborative filtering[C]∥IEEE International Conference on Fuzzy Systems.2011:131-138. [14] ALPTEKIN G I,BYKZKAN G.An integrated case-based reasoning and MCDM system for Web based tourism destination planning[J].Expert Systems with Applications,2011,8(3):2125-2132. [15] HSU F M,LIN Y T,HO T K.Design and implementation of an intelligent recommendation system for tourist attractions:The integration of EBM model,Bayesian network and Google Maps[J].Expert Systems with Applications,2012,39(3):3257-3264. [16] LIU Q.A Study of Designing and Applying RecommendersBased on User Interests Modeling[D].Hefei:University ofScience and Technology of China,2013.(in Chinese) 刘淇.基于用户兴趣建模的推荐方法及应用研究[D].合肥:中国科学技术大学,2013. [17] NILASHI M,IBRAHIM O B,ITHNIN N,et al.A Multi-Criteria Collaborative Filtering Recommender System for the Tourism Domain Using Expectation Maximization (EM) and PCA-ANFIS[J].Electronic Commerce Research and Applications,2015,4(6):542-562. [18] WANG Y,CHAN S C F,NGAI G.Applicability of demographic recommender system to touristions:a case study on trip advisor[C]∥Proceedings of The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology-Volume 03.IEEE Computer Society,2012:97-101. [19] DODWAD P R,LOBO L.A context-aware recommender system using ontology based approach for travel applications[J].International Journal of Advanced Engineering and Nano Technology,2014,1(10):8-12. [20] NIARAKI A S,KIM K.Ontology based personalized route planning system using a multi-criteria decision making approach[J].Expert Systems with Applications,2009,36(2):2250-2259. [21] LEE C S,CHANG Y C,WANG M H.Ontological recommendation multi-agent for Tainan City travel[J].Expert Systems with Applications,2009,6(3):6740-6753. [22] DODWAD P R,LOBO L.Personalized Context-aware Recom-mendations and Semantic Search in Smart Tourist Guide System[J].International Journal of Application or Innovation in Engineering & Management,2014,3(1):312-314. [23] HASSAN M,LU H,LU J.A semantic enhanced hybrid recommendation approach:A case study of e-Government tourism service recommendation system[J].Decision Support Systems,2015,72:97-109. [24] BORRS J,MORENO A,VALLS A.Intelligent tourism recommender systems:A survey[J].Expert Systems with Applications,2014,41(16):7370-7389. [25] RAVI L,VAIRAVASUNDARAM S.A Collaborative Location Based Travel Recommendation System through Enhanced Ra-ting Prediction for the Group of Users[J].Computational Intelligence and Neuroscience,2016,2016(2):1291358. [26] HUSAIN W,DIH L Y.A framework of a personalized location-based traveler recommendation system in mobile application[J].International Journal of Multimedia and Ubiquitous Enginee-ring,2012,7(3):11-18. [27] CAO L,LUO J,GALLAGHER A C,et al.A worldwide tourism recommendation system based on geotagged Web photos[C]∥IEEE International Conference on Acoustics,Speech and Signal Processing.2010:2274-2277. [28] LI D,LV Q,XIE X,et al.Interest-based real-time content re-commendation in online social communities[J].Knowledge-Based Systems,2012,28(2):1-12. [29] BATET M,MORENO A,SNCHEZ D,et al.Turist@:Agent-based personalised recommendation of touristic activities[J].Expert Systems with Applications,2012,9(8):7319-7329. [30] DONG Y.User Modeling in Large Social Networks [C]∥Proceedings of the Ninth ACM International Conference on Web Search and Data Mining.ACM,2016:713-713. [31] TUZHILIN A,ADOMAVICIUS G.System,process and soft-ware arrangement for providing multidimensional recommendations /suggestions:U.S.Patent 8,4,000[P].2015-3-17. [32] XIONG H,LIU Z.A situation information integrated persona-lized travel package recommendation approach based on TD-LDA model[C]∥International Conference on Behavioral,Economic and Socio-cultural Computing (BESC).IEEE,2015:32-37. [33] CHRISTENSEN I,SCHIAFFINO S,A RMENTANO M.Social group recommendation in the tourism domain[J].Journal of Intelligent Information Systems,2016,47(2):209-231. [34] WEN J H,HE B,HU Y P.Hybrid Recommendation Algorithm Based on User’s Trust in Social Networks[J].Computer Science,2016,3(1):255-258.(in Chinese) 文俊浩,何波,胡远鹏.基于社交网络用户信任度的混合推荐算法研究[J].计算机科学,2016,43(1):255-258. |
No related articles found! |
|