{"title":"Social Event Shopping Recommendation Mechanism for Location-Based Services","authors":"Lien-Fa Lin, Yu-Lin Hsu","doi":"10.1109/IC3.2018.00019","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a novel social event shopping recommendation mechanism for enhancing location-based e-commerce, by analyzing the fitness considering the criteria factors of preference similarity, event relativity, social influence, and mobility influence, the proposed system could effectively recommend the most suitable shopping stores to users.","PeriodicalId":236366,"journal":{"name":"2018 1st International Cognitive Cities Conference (IC3)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 1st International Cognitive Cities Conference (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2018.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we proposed a novel social event shopping recommendation mechanism for enhancing location-based e-commerce, by analyzing the fitness considering the criteria factors of preference similarity, event relativity, social influence, and mobility influence, the proposed system could effectively recommend the most suitable shopping stores to users.