[recommendation technology] matlab simulation of network information recommendation technology based on collaborative filtering

1. Software version

matlab2013b

2. System principle

      Collaborative filtering recommendation （Collaborative Filtering Recommendation） technology , It is one of the most successful technologies in recommendation system . Collaborative filtering , It is called social filtering or collaborative filtering . The first is the Goldberg And so on , After that, it developed rapidly and widely . Collaborative filtering method , First, use the historical evaluation records of users , Then build a user rating matrix , And calculate the similarity between items or users , Finally, the domain method is used to recommend . Pictured 1 Shown , Collaborative filtering , According to the user's historical preference information , Calculate the distance between users , Then the weighted evaluation value is carried out for the evaluation of commodities , Use the nearest neighbor user of the target user , Predict the target user's preference for the product , The system makes personalized recommendations to target users according to their preferences for goods .

chart 1 Collaborative filtering recommendation

        The idea of collaborative filtering is based on this assumption ： A good way to find information that users are really interested in is ： First , Find other users with similar interests ; then , Recommend it to other users with similar interests