research-article

Application of Recommender System in Intelligent Community under Big Data Scenario

Authors:

Cong Liu,

Zhenxiang Chen,

Dong Cao,

Mingyue ShangAuthors Info & Claims

ICBDT '19: Proceedings of the 2nd International Conference on Big Data Technologies

Pages 92 - 96

https://doi.org/10.1145/3358528.3359551

Published: 28 August 2019 Publication History

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Abstract

Nowadays, intelligent community is one of indispensable parts in social construction. The construction of intelligent community promotes the construction and development of intelligent city, which can improve residents' living quality. Eating is an important part inhuman lives. In this paper, we develop a food recommendation system. This system is based on big data, Association Rule-based Recommendation and Collaborative Filtering Recommendation. By analyzing a large number of historical user behaviors, this system recommends restaurants, supermarkets, recipes and meal delivery service.

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Cited By

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Andrade-Ruiz GCarrasco RPorcel CSerrano-Guerrero JMata FArias-Oliva M(2024)Emerging Perspectives on the Application of Recommender Systems in Smart CitiesElectronics10.3390/electronics1307124913:7(1249)Online publication date: 27-Mar-2024
https://doi.org/10.3390/electronics13071249

Index Terms

Application of Recommender System in Intelligent Community under Big Data Scenario
1. Theory of computation
  1. Theory and algorithms for application domains
    1. Machine learning theory
      1. Unsupervised learning and clustering

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A Systematic Literature Review on Recommender Systems using social network data to mitigate the cold-start problem is executed.The method used in the Systematic Literature Review is exposed.Analysis of 666 papers and detailing of 20 papers considered ...

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ICBDT '19: Proceedings of the 2nd International Conference on Big Data Technologies

August 2019

382 pages

ISBN:9781450371926

DOI:10.1145/3358528

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Shandong Univ.: Shandong University

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Association for Computing Machinery

New York, NY, United States

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Published: 28 August 2019

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ICBDT2019: 2019 2nd International Conference on Big Data Technologies

August 28 - 30, 2019

Jinan, China

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Andrade-Ruiz GCarrasco RPorcel CSerrano-Guerrero JMata FArias-Oliva M(2024)Emerging Perspectives on the Application of Recommender Systems in Smart CitiesElectronics10.3390/electronics1307124913:7(1249)Online publication date: 27-Mar-2024
https://doi.org/10.3390/electronics13071249

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Recommendations

Improving Accuracy of Recommender System by Item Clustering

A New Approach for Recommender System

Social network data to alleviate cold-start in recommender system

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