Open AccessResearch on short video recommendation strategy based on big data analysis
Author(s) -
Ting Gao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1941/1/012071
Subject(s) - big data , information overload , computer science , data science , recommender system , information retrieval , world wide web , data mining
In the era of information explosion, "information overload" has become an unavoidable problem. Vital information acquisition is an unavoidable problem. In the era of big data, using big data technology is undoubtedly an important thinking direction to solve data problems. Based on big data analysis and recommendation, this paper takes DIKW as the model support and takes short video personalized recommendation as an example to provide different personalized short video recommendations for different scenes. Aimed at the current information explosion era, looking for a good recommendation information system.