Research on Application of Collaborative Filtering Algorithm in Digital Movie Recommendation

Autor:	Sansan Li, Dongxian Zhou
Rok vydání:	2020
Předmět:	History Information retrieval Computer science Collaborative filtering Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1651:012091
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1651/1/012091
Popis:	Information overload will undoubtedly increase the time for users to search for information on the Internet. Data mining technology based on big data is constantly improving this situation. It extracts hidden, previously unknown information from massive data information to find out the internal connection between users, between the user and the item, and between items, so as to recommend information according to the user’s preferences and needs, and even provide the user with a customized page. So how does it implement personalized recommendations? This article takes online digital movie recommendation as an example, and explains the principle and process of collaborative filtering recommendation algorithm to achieve personalized recommendation through the combination of theoretical analysis and experiment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dd080810a53f1813552669858faad79f https://doi.org/10.1088/1742-6596/1651/1/012091 Zobrazit plný text záznamu