市场卖家推荐与基于用户的多标准决策

2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA) Pub Date : 2018-10-01 DOI:10.1109/TSSA.2018.8708794

Murein Miksa Mardhia, Dwi Normawati

{"title":"市场卖家推荐与基于用户的多标准决策","authors":"Murein Miksa Mardhia, Dwi Normawati","doi":"10.1109/TSSA.2018.8708794","DOIUrl":null,"url":null,"abstract":"This research develops a recommender system for seller selection of several online marketplace in Indonesia. Since users are provided with too many merchants with various offers regarding a product, it then creates such difficulty and longer time for them to decide which merchant they should choose to get the efficient effort but optimum results.Case studies in several of the most popular online shops were adopted: Tokopedia, Shopee and Bukalapak., where respondents make online transaction the most. Criteria stated are product price, seller location, seller reputation, the number of sold products and expedition support. This study applied a method of Fuzzy Simple Additive Weighting to normalize by using weight authorized from user preference. The experiment applied a user-based method of testing due to each preference and method to place the rankings. At the end, a merchant with the highest point placed as the top rank and displayed as the recommendation.","PeriodicalId":159795,"journal":{"name":"2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Marketplace Seller Recommender with User-Based Multi Criteria Decision Making\",\"authors\":\"Murein Miksa Mardhia, Dwi Normawati\",\"doi\":\"10.1109/TSSA.2018.8708794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research develops a recommender system for seller selection of several online marketplace in Indonesia. Since users are provided with too many merchants with various offers regarding a product, it then creates such difficulty and longer time for them to decide which merchant they should choose to get the efficient effort but optimum results.Case studies in several of the most popular online shops were adopted: Tokopedia, Shopee and Bukalapak., where respondents make online transaction the most. Criteria stated are product price, seller location, seller reputation, the number of sold products and expedition support. This study applied a method of Fuzzy Simple Additive Weighting to normalize by using weight authorized from user preference. The experiment applied a user-based method of testing due to each preference and method to place the rankings. At the end, a merchant with the highest point placed as the top rank and displayed as the recommendation.\",\"PeriodicalId\":159795,\"journal\":{\"name\":\"2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TSSA.2018.8708794\",\"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 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSSA.2018.8708794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本研究开发了一个推荐系统的卖家选择几个在线市场在印度尼西亚。由于用户面对的商家太多，提供的商品种类繁多，这就给他们决定选择哪个商家带来了困难和更长的时间，从而获得有效的努力和最佳的结果。案例研究采用了几个最受欢迎的网上商店:Tokopedia, Shopee和Bukalapak。在美国，受访者进行网上交易最多。所述的标准是产品价格、卖家位置、卖家声誉、销售产品数量和探险支持。本研究采用模糊简单加性加权方法，利用用户偏好授权的权重进行归一化。实验采用基于用户的测试方法，根据每个偏好和方法进行排名。最后，一个点数最高的商人被放置为最高等级，并显示为推荐。

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

Marketplace Seller Recommender with User-Based Multi Criteria Decision Making

This research develops a recommender system for seller selection of several online marketplace in Indonesia. Since users are provided with too many merchants with various offers regarding a product, it then creates such difficulty and longer time for them to decide which merchant they should choose to get the efficient effort but optimum results.Case studies in several of the most popular online shops were adopted: Tokopedia, Shopee and Bukalapak., where respondents make online transaction the most. Criteria stated are product price, seller location, seller reputation, the number of sold products and expedition support. This study applied a method of Fuzzy Simple Additive Weighting to normalize by using weight authorized from user preference. The experiment applied a user-based method of testing due to each preference and method to place the rankings. At the end, a merchant with the highest point placed as the top rank and displayed as the recommendation.

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 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)

自引率

0.00%

发文量