A proactive personalised mobile recommendation system using analytic hierarchy process and Bayesian network
Tóm tắt
Từ khóa
Tài liệu tham khảo
Wang C-Y, Wu Y-H, Chou S-C (2010) Toward a ubiquitous personalized daily-life activity recommendation service with contextual information: a services science perspective. Inf Syst E-Bus Manag 8:13–32
Woerndl W, Brocco M, Eigner R (2009) Context-aware recommender systems in mobile scenarios. Int J Inf Technol Web Eng 4:67–85
Abbar S, Bouzeghoub M, Lopez S (2009) Context-aware recommender systems: a service oriented approach. In: Presented at the VLDB 2009. Lyon, France
Yap G-E, Tan A-H, Pang H-H (2007) Discovering and exploiting causal dependencies for robust mobile context-aware recommenders. IEEE Trans Knowl Data Eng 19:977–992
Yu Y, Kim J, Shin K, Jo GS (2009) Recommendation system using location-based ontology on wireless internet: an example of collective intelligence by using ’mashup’ applications. Expert Syst Appl 36:11675–11681
Baltrunas L (2008) Exploiting contextual information in recommender systems. In: Presented at the proceedings of the 2008 ACM conference on recommender systems. Lausanne, Switzerland
Yeung KF, Yang Y, Ndzi D (2009) Contextualized mobile information retrieval in hybrid P2P environment. In: Presented at the 4th international conference on pervasive computing and applications, Taiwan
Cantador I, Bellogín A, Castells P (2008) Ontology-based personalised and context-aware recommendations of news items. In: Presented at the proceedings of the 2008 IEEE/WIC/ACM international conference on web intelligence and intelligent agent technology, vol 01
Das AS, Datar M, Garg A, Rajaram S (2007) Google news personalization: scalable online collaborative filtering. In: Presented at the proceedings of the 16th international conference on world wide web, Banff, Alberta, Canada
Liu D-R, Lai C-H, Lee W-J (2009) A hybrid of sequential rules and collaborative filtering for product recommendation. Inf Sci 179:3505–3519
Manouselis N, Costopoulou C (2007) Analysis and classification of multi-criteria recommender systems. World Wide Web 10:415–441
Adomavicius G, Sankaranarayanan R, Sen S, Tuzhilin A (2005) Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans Inf Syst 23:103–145
Zhang Y, Zhuang Y, Wu J, Zhang L (2009) Applying probabilistic latent semantic analysis to multi-criteria recommender system. AI Commun 22:97–107
Goldberg D, Nichols D, Oki BM, Terry D (1992) Using collaborative filtering to weave an information tapestry. Commun ACM 35:61–70
Ono C, Kurokawa M, Motomura Y, Asoh H (2009) A context-aware movie preference model using a Bayesian network for recommendation and promotion, pp 247–257
Baudisch P, Brueckner L (2005) TV scout: lowering the entry barrier to personalized TV program recommendation, pp 299–309
Ziegler C-N, McNee SM, Konstan JA, Lausen G (2005) Improving recommendation lists through topic diversification. In: Presented at the proceedings of the 14th international conference on World Wide Web. Chiba, Japan
Liu D-R, Shih Y-Y (2005) Integrating AHP and data mining for product recommendation based on customer lifetime value. Inf Manag 42:387–400
Lee J, Lee J (2007) Context awareness by case-based reasoning in a music recommendation system, pp 45–58
Huang Y, Bian L (2009) A Bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the Internet. Expert Syst Appl 36:933–943
Burke R (2002) Hybrid recommender systems: survey and experiments. User Model User-Adapted Interact 12:331–370
Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17:734–749
Chu W, Park S-T (2009) Personalized recommendation on dynamic content using predictive bilinear models. In: Presented at the proceedings of the 18th international conference on World wide web. Spain, Madrid
Chen A (2005) Context-aware collaborative filtering system: predicting the user’s preference in the ubiquitous computing environment, pp 244–253
Yap G-E, Tan A-H, Pang H-H (2005) Dynamically-optimized context in recommender systems. In: Presented at the proceedings of the 6th international conference on mobile data management. Ayia Napa, Cyprus
Riva O, Toivonen S (2007) The DYNAMOS approach to support context-aware service provisioning in mobile environments. J Syst Softw 80:1956–1972
Baldauf M, Dustdar S, Rosenberg F (2007) A survey on context-aware systems. Int J Ad Hoc Ubiquitous Comput 2:263–277
Ruffo G, Schifanella R (2009) A peer-to-peer recommender system based on spontaneous affinities. ACM Trans Internet Technol 9: 1–34
Uchyigit G, Ma MY (2008) Personalization techniques and recommender systems. World Scientific Publishing Co. Pte. Ltd., Singapore
Kwon O, Choi S, Park G (2005) NAMA: a context-aware multi-agent based web service approach to proactive need identification for personalized reminder systems. Expert Syst Appl 29:17–32
Manouselis N, Costopoulou C (2007) Experimental analysis of design choices in multiattribute utility collaborative filtering. Int J Pattern Recogn Artif Intell 21:311–331
Kwon O, Kim M (2004) MyMessage: case-based reasoning and multicriteria decision making techniques for intelligent context-aware message filtering. Expert Syst Appl 27:467–480
JXTA (2011) JXTA. http://jxta.kenai.com/
Gu T, Pung HK, Zhang DQ (2005) A service-oriented middleware for building context-aware services. J Netw Comput Appl 28:1–18
Saaty TL (2008) Relative measurement and its generalization in decision making: why pairwise comparisons are central in mathematics for the measurement of intangible factors the analytic hierarchy/network process. Real Academia de Ciencias Exactas, Físicas y Naturales
Papadogiorgaki M, Papastathis V, Nidelkou E, Waddington S, Bratu B, Ribiere M, Kompatsiaris I (2008) Two-level automatic adaptation of a distributed user profile for personalized news content delivery. Int J Digit Multimedia Broadcasting 2008:21
Saaty TL (1980) The analytic hierarchy process : planning, priority setting, resource allocation. McGraw-Hill, New York
Forman E, Peniwati K (1998) Aggregating individual judgments and priorities with the analytic hierarchy process. Eur J Oper Res 108:165–169
Altuzarra A, Moreno-Jiménez JM, Salvador M (2007) A Bayesian priorization procedure for AHP-group decision making. Eur J Oper Res 182:367–382
Mikhailov L (2004) Group prioritization in the AHP by fuzzy preference programming method. Comput Oper Res 31:293–301
Ekel P, Queiroz J, Parreiras R, Palhares R (2009) Fuzzy set based models and methods of multicriteria group decision making. Nonlinear Anal Theory Methods Appl 71:e409–e419
Hong J, Suh E-H, Kim J, Kim S (2009) Context-aware system for proactive personalized service based on context history. Expert Syst Appl 36:7448–7457
Billsus D, Hilbert DM, Maynes-Aminzade D (2005) Improving proactive information systems. In: Presented at the proceedings of the 10th international conference on intelligent user interfaces. San Diego, California
Breese J, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. In: Presented at the proceedings of the fourteenth conference on uncertainty in artificial intelligence. Madison
Korb KB, Nicholson AE (2004) Bayesian artificial intelligence. Chapman& Hall/CRC, Boca Raton; London
Yeung KF, Yang Y (2010) A proactive personalized mobile news recommendation system. In: Presented at the DeSE 2010—developments in E-systems Engineering, London
Apache (2011) Apache Lucene project. http://lucene.apache.org/
Perst (2011) Perst—an open source, object-oriented embedded database. http://www.mcobject.com/perst
Liu J, Dolan P, Pedersen ER (2010) Personalized news recommendation based on click behavior. In: Presented at the proceeding of the 14th international conference on intelligent user interfaces. Hong Kong, China
Dutton WH, Helsper EJ, Gerber MM (2009) Oxford Internet Survey 2009 Report: The Internet in Britain. University of Oxford, Oxford Internet Institute
Mintel (2009) National Newspapers, UK
Billsus D, Pazzani MJ (2007) Adaptive news access. In: The adaptive web, vol. 4321/2007. Springer, Berlin, pp 550–570
Chu W, Park S-T, Beaupre T, Motgi N, Phadke A, Chakraborty S, Zachariah J (2009) A case study of behavior-driven conjoint analysis on Yahoo!: front page today module. In: presented at the proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining. France, Paris
Claypool M, Gokhale A, Miranda T, Murnikov P, Netes D, Sartin M (1999) Combining content-based and collaborative filters in an online newspaper. In: Presented at the proceedings of ACM SIGIR workshop on recommender systems
Billsus D, Pazzani MJ (2000) User modeling for adaptive news access. User Model User Adapted Interact 10:147–180
Antoniu G, Cudennec L, Jan M, Duigou M (2007) Performance scalability of the JXTA P2P framework. In: Parallel and distributed processing symposium IPDPS 2007. IEEE Int 2007:1–10
Satish Narayana S (2008) Scalable mobile web service discovery in peer to peer. Networks 668–674