{"title":"应用模式挖掘Web访问日志识别购买阶段","authors":"M. Motegi, Yusuke Ichikawa, Toru Kobayashi","doi":"10.1109/SNPD.2012.89","DOIUrl":null,"url":null,"abstract":"We propose a method of identifying purchase-stage to enhance the success rate of recommendations. When a user purchases a commodity through the Web, she goes through several stages, for example, \" Interest in commodity, Search for commodity, Comparison of commodities, Action of purchasing\". To increase the purchase rate, we need to identify the different purchase stages and construct web sites so that they better support each purchase-stage. This paper hypothesizes that the purchase-stage of the user is evidenced by his/her web-access pattern. An experiment is conducted to collect the Web access logs of several subjects when they purchase commodities on electronic commerce (EC) sites. The proposed method is shown to approximately discriminate the purchase-stages.","PeriodicalId":387936,"journal":{"name":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identifying Purchase-Stage by Applying Pattern Mining to Web Access Logs\",\"authors\":\"M. Motegi, Yusuke Ichikawa, Toru Kobayashi\",\"doi\":\"10.1109/SNPD.2012.89\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a method of identifying purchase-stage to enhance the success rate of recommendations. When a user purchases a commodity through the Web, she goes through several stages, for example, \\\" Interest in commodity, Search for commodity, Comparison of commodities, Action of purchasing\\\". To increase the purchase rate, we need to identify the different purchase stages and construct web sites so that they better support each purchase-stage. This paper hypothesizes that the purchase-stage of the user is evidenced by his/her web-access pattern. An experiment is conducted to collect the Web access logs of several subjects when they purchase commodities on electronic commerce (EC) sites. The proposed method is shown to approximately discriminate the purchase-stages.\",\"PeriodicalId\":387936,\"journal\":{\"name\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SNPD.2012.89\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2012.89","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identifying Purchase-Stage by Applying Pattern Mining to Web Access Logs
We propose a method of identifying purchase-stage to enhance the success rate of recommendations. When a user purchases a commodity through the Web, she goes through several stages, for example, " Interest in commodity, Search for commodity, Comparison of commodities, Action of purchasing". To increase the purchase rate, we need to identify the different purchase stages and construct web sites so that they better support each purchase-stage. This paper hypothesizes that the purchase-stage of the user is evidenced by his/her web-access pattern. An experiment is conducted to collect the Web access logs of several subjects when they purchase commodities on electronic commerce (EC) sites. The proposed method is shown to approximately discriminate the purchase-stages.