Research on restaurant recommendation using machine learning

2022/08/10 by Junan Pan, Zhihao Zhao, Pan, Junan +1
Business, Management and Accounting · Computer Science · #Artificial Intelligence (cs.AI) #E-commerce and Technology Innovations #Educational and Technological Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Sentiment Analysis and Opinion Mining

paper · pdf · doi:10.48550/arxiv.2208.05113

openalex publication_date 2022/08/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A recommender system is a system that helps users filter irrelevant information and create user interest models based on their historical records. With the continuous development of Internet information, recommendation systems have received widespread attention in the industry. In this era of ubiquitous data and information, how to obtain and analyze these data has become the research topic of many people. In view of this situation, this paper makes some brief overviews of machine learning-related recommendation systems. By analyzing some technologies and ideas used by machine learning in recommender systems, let more people understand what is Big data and what is machine learning. The most important point is to let everyone understand the profound impact of machine learning on our daily life.

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