Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{146956,
        author = {Suman Kotin and Prasadgouda Patil},
        title = {A SURVEY ON MICRO VIDEO RECOMMENDATION SYSTEM BASED ON BIG DATA},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {2},
        pages = {698-703},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146956},
        abstract = {With the refinement in the Internet and long range social correspondence advantage, the video is ending up more recognizable, especially for younger's. In any case, for a couple of customers, they contribute a massive measure of centrality to get their most regarded records from aggregates accounts on the Internet; for the video producers, they don't fathom what sorts of watchers like their things. Thusly, this paper proposes a video recommendation system. The suggestion figuring’s the explanation behind meeting of this structure. Standard recommendation figuring’s join substance based recommendation, empowered exertion proposal estimations, and so on. At the Big Data times, the weights what we meet are data scale, execution of figuring, and specific perspectives. Along these lines, this paper restores the standard suggestion estimations, using the outstanding Neural Association Algorithm to process the Big Data.},
        keywords = {},
        month = {},
        }