{"title":"信息:电子商务推荐的新方法","authors":"Mozhgan Memari, Ali Amerian","doi":"10.1109/ICCEA.2010.167","DOIUrl":null,"url":null,"abstract":"Developing an intelligent recommendation system is a good way to overcome the problem of overloaded product’s information provided by the e-commerce enterprises. This paper proposes a new hybrid recommendation methodology, called INORM, based on recommendation methods and costumer navigational and behavioral algorithms to enhance the recommendation quality and the system performance of current recommender systems.","PeriodicalId":207234,"journal":{"name":"2010 Second International Conference on Computer Engineering and Applications","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"INORM: A New Approach in E-commerce Recommendation\",\"authors\":\"Mozhgan Memari, Ali Amerian\",\"doi\":\"10.1109/ICCEA.2010.167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing an intelligent recommendation system is a good way to overcome the problem of overloaded product’s information provided by the e-commerce enterprises. This paper proposes a new hybrid recommendation methodology, called INORM, based on recommendation methods and costumer navigational and behavioral algorithms to enhance the recommendation quality and the system performance of current recommender systems.\",\"PeriodicalId\":207234,\"journal\":{\"name\":\"2010 Second International Conference on Computer Engineering and Applications\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer Engineering and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEA.2010.167\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEA.2010.167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
INORM: A New Approach in E-commerce Recommendation
Developing an intelligent recommendation system is a good way to overcome the problem of overloaded product’s information provided by the e-commerce enterprises. This paper proposes a new hybrid recommendation methodology, called INORM, based on recommendation methods and costumer navigational and behavioral algorithms to enhance the recommendation quality and the system performance of current recommender systems.