A collaborative filtering system recommends to users products that similar users like. Collaborative filtering systems influence purchase decisions and hence have become targets of manipulation by ...
Missing links While the researchers' model corroborates the effectiveness of collaborative filtering, it also suggests ways to improve it. In general, the more information a collaborative-filtering ...
This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth.
Netflix in 2006 held an open competition to find the collaborative filtering algorithm that would best predict whether or not a user would like a particular film or TV show based on previous ratings.
This paper studies the relationship between export structure and growth performance. We design an export recommendation system using a collaborative filtering algorithm based on countries' revealed ...
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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