Research on Recommendation Operation Strategy of News and Information Products
Abstract
For China’s news industry, personalized recommendation of news and information products is beginning to take off, but it is growing rapidly. Excess information content and limited time and energy of users urgently need common numbers to balance. It is not the ultimate goal to blindly provide users with instant news content as media. With the rising status of users, the times have higher requirements for media. In today’s society, improving information processing ability is more important than the speed of information dissemination. Users are forbidden to keep copper in the information cage. Repeated bloody, violent, misleading and other information are distressing. How to solve information overload for news and information product operators? How to adjust operation strategy from the perspective of users? How to solve the relationship between technical algorithm and manual intervention? How can personalized recommendation promote the development of news industry?
References
Tan B. International Information (in Chinese). Archives Management 2020; (5): 1.
Yang L. Application, influence and reflection of personalized recommendation in mobile news communication (in Chinese). News and Communication Review 2020; 73(2): 47–58.
Ma J. Research on user experience of news and information app (in Chinese). Changchun University of Technology; 2019.
Hu W. The ethical dilemma of news algorithm push and its countermeasures (in Chinese). Changchun University of Technology; 2019.
Zhang X, Li J. Predicament, outlet and prospect of news algorithm push (in Chinese). Editorial Friend 2019; (4): 86–90.
Copyright (c) 2023 Yuxi Liu
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors contributing to the journal agree to publish their articles under the Creative Commons Attribution-Noncommercial 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear.
