{"title":"基于深度调频的视频推荐算法应用研究","authors":"Heng Wei, Bo Gui","doi":"10.1109/ISAIAM55748.2022.00014","DOIUrl":null,"url":null,"abstract":"This paper studies the application of video recommendation algorithm based on DeepFM, studies the specific application of DeepFM algorithm in the field of video recommendation, and analyzes its performance. In this paper, the MovieLens video dataset is selected for experiments, and a simple video recommendation system is implemented by using UserCF, ItemCF and DeepFM. After recalling and sorting the dataset, the conclusion is drawn. The DeepFM model has superior performance in the sorting stage, and the loss is reduced by 0.55 % compared with the use of only FM model.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on The Application of Video Recommendation Algorithm Based on DeepFM\",\"authors\":\"Heng Wei, Bo Gui\",\"doi\":\"10.1109/ISAIAM55748.2022.00014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the application of video recommendation algorithm based on DeepFM, studies the specific application of DeepFM algorithm in the field of video recommendation, and analyzes its performance. In this paper, the MovieLens video dataset is selected for experiments, and a simple video recommendation system is implemented by using UserCF, ItemCF and DeepFM. After recalling and sorting the dataset, the conclusion is drawn. The DeepFM model has superior performance in the sorting stage, and the loss is reduced by 0.55 % compared with the use of only FM model.\",\"PeriodicalId\":382895,\"journal\":{\"name\":\"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAIAM55748.2022.00014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAIAM55748.2022.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on The Application of Video Recommendation Algorithm Based on DeepFM
This paper studies the application of video recommendation algorithm based on DeepFM, studies the specific application of DeepFM algorithm in the field of video recommendation, and analyzes its performance. In this paper, the MovieLens video dataset is selected for experiments, and a simple video recommendation system is implemented by using UserCF, ItemCF and DeepFM. After recalling and sorting the dataset, the conclusion is drawn. The DeepFM model has superior performance in the sorting stage, and the loss is reduced by 0.55 % compared with the use of only FM model.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
