TensorRec is a Python recommendation system that allows you to quickly develop recommendation algorithms and customize them using TensorFlow. TensorRec lets you to customize your recommendation system ...

Most recommendation systems use a measure called cosine similarity, which seems to work well in practice. Last year, a team of researchers used a new theoretical framework to demonstrate why ...

Learn what algorithms are, what types of algorithms are used for recommendation engines, how to select the best algorithm for your problem and data, and how to implement it using different options.

With the popularity of mobile Internet, users have a higher demand for real-time personalized recommendation. Traditional recommendation system (RS) often use offline computing to generate ...

Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which algorithm is best for ...

Recommendation algorithms are powerful tools for marketing analytics, as they can help you personalize your offers, increase customer satisfaction, and drive conversions.

In 2012, the group demonstrated algorithms that could predict what topics would trend on Twitter up to five hours in advance; this year, they used the same framework to predict fluctuations in the ...

China’s restrictions on recommendation algorithms fill a gap in global regulations. Not coincidentally, though, they also serve to extend Chinese state control over internet-based services.