Patent collaborative filtering recommendation approach based on patent similarity

In order to help enterprises deal with the situation of sharp increase in patent amount and improve enterprises´ capabilities for patent utilization, the information filtering technology was introduced into patent management field. A patent collaborative filtering recommendation approach based on patents similarity and its corresponding algorithm was presented. This approach solves the problem of user rating data sparsity successfully: firstly, it calculates similarity between patents based on the concept of patent model tree, then predicts patent score with patents similarity, fills user rating matrix, and finally it calculates users´ similarity to finish patent recommendation. Preliminary experimental results showed that the patent collaborative filtering recommendation approach based on patent similarity has a good performance in recommending patents and patent management system employing this approach can improve enterprises´ capabilities in patent utilization.