bet365 online sports betting time:8month11No. (Thursday) morning10：00
Tencent conference number:309-756-736
Title: Recommendation system algorithm and application
Abstract: Recommender systems have achieved great success in the industry。Same as machine learning model，The process of dividing the recommendation system into offline training and online service。This bet365 online sports betting first introduces the basic components for recommending offline training，Includes recommended models by tower、Common referral losses、Novel, efficient and accurate recommendation sampling, etc.。The bet365 online sports betting further introduces the optimized design for the two stages (high-efficiency recall and high-precision sorting) of the recommendation system online service，Includes end-to-end index construction method that supports efficient approximate search、Compression method of deep recommendation model。Last，The bet365 online sports betting will introduce the results developed by the team based on these basic researchRecStudio modular open source recommendation framework，And recommended bet365 online sports betting in smart education、Smart City、Smart Business、Application cases in smart medical and other aspects。
Personal introduction: Lian Defu，National Outstanding Youth，Special bet365 online sports betting of University of Science and Technology of China，Doctoral Supervisor。He was an associate bet365 online sports betting at the University of Electronic Science and Technology of China、Visiting Scholar at University of Technology Sydney，Selected for Microsoft Research Asia Star Project。His main research directions include deep learning、Knowledge Graph、Causal inference, etc.，Presided over the National Natural Science Foundation of China Outstanding Youth Science Fund、Front Project，Ministry of Science and Technology Innovation2030 Major Project Issues，National Defense Science and bet365 online sports betting 173 Key Project。He is at KDD、More than 100 papers published in high-level conferences and journals such as TKDE。He won the first prize of the Natural Science Award of the Ministry of Education、First Prize for Anhui Province Teaching Achievements、Second Prize of Sichuan Provincial Teaching Achievement Award、Dean’s Award of the Chinese Academy of Sciences、APWeb Best Student Paper、WWW 2021 Best Paper Candidates, etc.。
