Algorithms for Efficient Collaborative Filtering
نویسندگان
چکیده
In this work we present a series of collaborative filtering algorithms known for their simplicity and efficiency. The efficiency of this algorithm was compared with that of other more representative collaborative filtering algorithms. The results demonstrate that the response times are better than those of the rest (at least two orders of magnitude), in the training as well as when making predictions. Furthermore, when determining the quality of the predictions, the behavior of our algorithms is similar to that of the other algorithms, and even better when dealing with low-density training sets.
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