{"title":"Recommendations for Live TV","authors":"Jan Neumann, H. Sayyadi","doi":"10.1145/2792838.2799494","DOIUrl":null,"url":null,"abstract":"Despite the rise in video-on-demand consumption, live TV is still the most popular way to consume video entertainment. At Comcast we are developing novel ways to make it easy for our customers to access the live TV content that is interesting and relevant for them at the current moment. In this talk, we will describe some of the latest research at Comcast Labs on learning the favorite stations and programs for a customer at a given time of day, personalizing their TV guide, and informing our customers of what is trending on TV and social media at that moment, so that they can participate in the shared experience of live TV. We will explain how usage data is processed using both batch and real-time approaches to personalize the experience for Comcast's customers","PeriodicalId":325637,"journal":{"name":"Proceedings of the 9th ACM Conference on Recommender Systems","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th ACM Conference on Recommender Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2792838.2799494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Despite the rise in video-on-demand consumption, live TV is still the most popular way to consume video entertainment. At Comcast we are developing novel ways to make it easy for our customers to access the live TV content that is interesting and relevant for them at the current moment. In this talk, we will describe some of the latest research at Comcast Labs on learning the favorite stations and programs for a customer at a given time of day, personalizing their TV guide, and informing our customers of what is trending on TV and social media at that moment, so that they can participate in the shared experience of live TV. We will explain how usage data is processed using both batch and real-time approaches to personalize the experience for Comcast's customers