For this use case, we used the large (20M) MovieLens dataset. This dataset contains a number of different files all related to movies and movie ratings. Here we will use files ratings.csv and ...
International Journal of Electronic Commerce, Vol. 8, No. 4, Matching Buyers and Sellers for e-Commerce (Summer, 2004), pp. 115-129 (15 pages) Collaborative filtering is used in recommender systems ...
The Annals of the American Academy of Political and Social Science, Vol. 659, Toward Computational Social Science: Big Data in Digital Environments (May 2015), pp. 290-306 (17 pages) Theoretical and ...
The core of the new media platform's algorithm lies in accurately matching user interests with content value. Based on real data analysis, platforms like Douyin and WeChat Official Accounts mainly ...
There’s no such thing as an objective filter: Why designing algorithms that tell us the news is hard
We are all immersed in an incomprehensible abundance of available information, and we can only read or watch or consume some meaningless fraction of it. What we see, and what we don’t see, is heavily ...
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