An improved collaborative recommendation algorithm based on optimized user simil
There are lots of issues existing in traditional collaborative filtering recommendation,.such as data scarcities, cold start, recommendation accuracy and.timeliness. And how to improve the efficiency and quality of recommendation is a.key problem in collaborative recommendation. In the traditional c
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