基于位置服务的社交事件购物推荐机制

2018 1st International Cognitive Cities Conference (IC3) Pub Date : 2018-08-01 DOI:10.1109/IC3.2018.00019

Lien-Fa Lin, Yu-Lin Hsu

{"title":"基于位置服务的社交事件购物推荐机制","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":"{\"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}","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

摘要

本文提出了一种新的社会事件购物推荐机制来增强基于位置的电子商务，通过考虑偏好相似度、事件相关性、社会影响和移动性影响的适应度分析，该系统可以有效地向用户推荐最适合的购物商店。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Social Event Shopping Recommendation Mechanism for Location-Based Services

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 1st International Cognitive Cities Conference (IC3)

自引率

0.00%

发文量