基于多维电视时段分类的群体电视节目推荐

2009 Digest of Technical Papers International Conference on Consumer Electronics Pub Date : 2009-05-29 DOI:10.1109/ICCE.2009.5012309

R. Sotelo, Y. Blanco, M. López, A. Gil, J. Pazos

{"title":"基于多维电视时段分类的群体电视节目推荐","authors":"R. Sotelo, Y. Blanco, M. López, A. Gil, J. Pazos","doi":"10.1109/ICCE.2009.5012309","DOIUrl":null,"url":null,"abstract":"This paper presents a TV program recommender for groups based on multidimensional classifications following the TV-Anytime approach. In this work, the significant differences between homogeneous and heterogeneous groups are taken into account to select the most appropriate strategy.","PeriodicalId":154986,"journal":{"name":"2009 Digest of Technical Papers International Conference on Consumer Electronics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"TV program recommendiation for groups based on multidimensional TV-Anytime classifications\",\"authors\":\"R. Sotelo, Y. Blanco, M. López, A. Gil, J. Pazos\",\"doi\":\"10.1109/ICCE.2009.5012309\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a TV program recommender for groups based on multidimensional classifications following the TV-Anytime approach. In this work, the significant differences between homogeneous and heterogeneous groups are taken into account to select the most appropriate strategy.\",\"PeriodicalId\":154986,\"journal\":{\"name\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2009.5012309\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Digest of Technical Papers International Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2009.5012309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 22

摘要

本文采用TV- anytime方法，提出了一种基于多维分类的群组电视节目推荐系统。在这项工作中，考虑到同质和异质群体之间的显著差异，以选择最合适的策略。

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

TV program recommendiation for groups based on multidimensional TV-Anytime classifications

This paper presents a TV program recommender for groups based on multidimensional classifications following the TV-Anytime approach. In this work, the significant differences between homogeneous and heterogeneous groups are taken into account to select the most appropriate strategy.

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

2009 Digest of Technical Papers International Conference on Consumer Electronics

自引率

0.00%

发文量