Exploring the Influence of Contexts for Mobile Recommendation
نویسندگان
چکیده
Withtherapiddevelopmentofmobileinternet,itisdifficulttoobtainhigh-qualityrecommendationin suchacomplicatedmobileenvironment,justdependingontraditionaluser-itembinaryinformation. Howtousemultiplecontextstogeneratesatisfyingrecommendationhasbeenahottopicinsomefields likee-commerce,tourismandnews.Contextawarerecommendersystem(CARS)importscontexts intorecommendertogenerateubiquitousandpersonalizedrecommendation.Inthispaper,thebasic informationofCARS,suchasthedefinitionofcontext,theprocessofCARSandevaluationare introducedcarefully.Inordertoexplorewhethercontextshaveagreatinfluenceonrecommendation ornot,theauthorsconductexperimentsonrealdatasets.Experimentalresultsshowrecommender that incorporates contexts significantly improvesperformanceover the traditional recommender. Finally,StateoftheartaboutCARSisdetailed. KEyWoRdS Context Aware Recommender System, Context Model, Mobile Environment, Personalized Recommender, Social Network
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عنوان ژورنال:
- Int. J. Web Service Res.
دوره 14 شماره
صفحات -
تاریخ انتشار 2017