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Research on the Reading System of Literary Works Based on Personalized Recommendation on Network

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Ming YanAuthors Info & Claims

ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

Pages 89 - 92

https://doi.org/10.1145/3452940.3452957

Published: 17 May 2021 Publication History

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Abstract

Relying on the Internet technology under the literary works are rapidly expanding, through the mobile phone check literary works are more and more popular, which network literary works read more. The provider of output literature works is faced with a dilemma and challenge, that is, how to let users quickly discover and attract their own works among the massive network literature works, and measures to solve this problem can be solved by relying on personalized recommendation technology.

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Index Terms

Research on the Reading System of Literary Works Based on Personalized Recommendation on Network
1. Applied computing
2. Information systems
  1. Information retrieval
  2. Information systems applications

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ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

December 2020

687 pages

ISBN:9781450388665

DOI:10.1145/3452940

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 May 2021

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Construction of literature reading system personalized recommendation technology application

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ICITEE2020

ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering

December 3 - 5, 2020

Hunan, Changde City, China

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Personalized recommendation based on review topics

A personalised movie recommendation system based on collaborative filtering

A Personalized Recommendation Method for Ancient Chinese Literary Works Based on a Collaborative Filtering Algorithm

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