- 移动互联网信息推荐技术研究
- 曹洪江等
- 587字
- 2024-03-22 20:11:38
参考文献
[1]WANG L C, MENG X W, ZHANG Y J. A cognitive psychology-based approach to user preferences elicitation for mobile network services[J].Acta Electronica Sinica, 2011, 39(11):2547-2553.
[2]FRANCESCO R. Mobile recommender systems[J].Information Technology&Tourism, 2011, 12(3):205-231.
[3]MODSCHING M, KRAMER R, HAGEN K T, et al. Effectiveness of mobile recommender systems for tourist destinations:A user evaluation.[C]//Proc.of the Intelligent Data Acquisition and Advanced Computing Systems:Technology and Applications 2007.Washington:IEEE Computer Society, 2007:663-668.
[4]工业和信息化部电信研究院.移动互联网白皮书[R/OL].(2011-05-20)[2018-12-10].http://www.caict.ac.cn/kxyj/qwfb/bps/201804/t20180426_158178.htm.
[5]WEISER M. The computer for the 21st century[J].Scientific American, 1991, 265(3):94-104.
[6]ADOMAVICIUS G, TUZHILIN A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions[J].IEEE Transactions on Knowledge and Data Engineering, 2005, 17(6):734-749.
[7]XU H L, WU X, LI X D, et al. Comparison study of Internet recommendation system[J].Journal of Software, 2009, 20(2):350-362.
[8]RESNICK P, VARIAN H R. Recommender systems[J].Communications of the ACM, 1997, 40(3):56-58.
[9]WANG L C, MENG X W, ZHANG Y J. Context-aware recommender systems[J].Journal of Software, 2012, 23(1):1-20.
[10]RESNICK P, VARIAN H R. Recommender systems[J].Communications of the ACM, 1997, 40(3):56-58.
[11]WOERNDL W, SCHUELLER C, WOJTECH R. A hybrid recommender system for context-aware recommendations of mobile applications[C]//Proc.of the International Conf.on Data Engineering (ICDE 2007).Washington: IEEE Computer Society, 2007:871-878.
[12]WANG S L, WU C Y. Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system[J].Expert Systems with Applications, 2011, 38(9):10831-10838.
[13]BURKE R. Knowledge-based recommender systems[J].Encyclopedia of Library and Information Systems, 2000, 69(32):180-200.
[14]PENG Y X, ZHU W W, ZHAO Y, et al. Cross-media analysis and reasoning:Advances and directions[J].Frontiers of Information Technology&Electronic Engineering, 2017, 18(1):44-57.
[15]FRANCESCO R. Mobile recommender systems[J].International Journal of Information Technology and Tourism, 2011, 12(3):205-231.
[16]AVERJANOVA O, FRANCESCO R, NGUYEN Q N. Map-based interaction with a conversational mobile recommender system[C]//Proc.of the Mobile Ubiquitous Computing, Systems, Services and Technologies(UBICOMM 2008).Washington:IEEE Computer Society, 2008:212-218.
[17]LIU D, MENG X W, CHEN J L, et al. Algorithms for rule generation and matchmaking in context-aware system[J].Journal of Software, 2009, 20(10):2655-2666.
[18]BILLSUS D, PAZZANI MJ. User modeling for adaptive news access[J].User Modeling and User-Adapted Interaction, 2000, 10(2-3):147-180.
[19]YUAN S T, TSAO Y W. A recommendation mechanism for contextualized mobile advertising[J].Expert Systems with Applications, 2003, 24(4):399-414.
[20]RAMASWAMY L, DEEPAK P, POLAVARAPU R, et al. Caesar:A context-aware, social recommender system for low-end mobile devices[C]//Proc.of the Mobile Data Management:Systems, Services and Middleware-Volume 2009.Washington:IEEE Computer Society, 2009:338-347.
[21]MORENO A, CASTRO H, RIVEILL M. Decentralized recommender systems for mobile advertisement[C]//Proc.of the RecSys 2011 Workshop on PeMA 2011.Chicago:RecSys, 2011:1-4.
[22]TSAI P Y, LIU D R. Personalized popular blog recommender service for mobile applications[C]//Proc.of the International Conference on e-commerce and web technologies (EC-Web 2009).Taiwan:LNCS, 2009:2-13.
[23]CHIU PH, KAO GYM, LO CC. Personalized blog content recommender system for mobile phone users[J].International Journal of Human-Computer Studies, 2010, 68(8):496-507.
[24]LEE S K, CHO Y H, KIM S H. Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations[J].Information Sciences, 2010, 180(11):2142-2155.
[25]WANG Y X, QIAO X Q, LI X F, et al. Research on context-awareness mobile sns service selection mechanism[J].Chinese Journal of Computers, 2010, 33(11):2126-2135.
[26]DAVIDSSON C, MORITZ S. Utilizing implicit feedback and context to recommend mobile applications from first use[C]//Proc.of the CaRR 2011.NewYork:ACM Press, 2011:19-22.
[27]CENA F, CONSOLE L, GENA C, et al. Integrating heterogeneous adaptation techniques to build a flexible and usable mobile tourist guide[J].AI Communications, 2006, 19(4):369-384.
[28]BAGLIONI E, BECCHETI L, BERGAMINI L, et al. A lightweight privacy preserving SMS-based recommendation system for mobile users[C]//Proc.of the RecSys 2010.New York:ACM Press, 2010:191-198.