What users tell us: User Understanding and Modeling for Personalized Recommendation
Автор: Association for Computing Machinery (ACM)
Загружено: 2022-02-27
Просмотров: 301
Описание:
ADCS 2021 Keynote 1/2.
Author: Min Zhang
Abstract: Personalized recommender systems have been one of the major ways of information acquisition. Understanding the user's intent and behavior plays an important role and has been a trending topic in research and applications. In this talk, I will briefly introduce some observations and findings on our user understanding research in recent years, which are surprising or different from what people thought before. The topic in the talk involves user behavior analyses, dynamic intent modeling, and evaluation in multiple scenarios such as news streaming, e-commerce, job hunting, and music recommendation. Related researches have been published on ACM TOIS, WWW, SIGIR, WSDM, etc.
ACM DL: https://dl.acm.org/doi/10.1145/350351...
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