A recommendation method based on active learning to solve commodity cold start problem
A recommendation method and active learning technology, applied in the field of recommendation system, can solve problems such as errors and wrong recommendations
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[0065] The present invention will be further described in detail below with reference to the accompanying drawings and taking the Movielens-IMDB data set as an example. The Movielens-IMDB dataset is a movie dataset, which contains historical rating data and movie attribute data (such as directors, actors, etc.) for movies.
[0066] Table 1 is the statistics of this dataset. We randomly selected 8,000 movies, and used the attributes and rating data of these movies to train the model to predict the ratings of the remaining 1,998 movies. The data of the first 8000 movies is called the training set, and the data of the last 1998 movies is called the test set.
[0067] Table 1
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[0070] Such as figure 1 As shown, the recommendation method based on active learning to solve the commodity cold start problem includes active learning phase and prediction phase. The active learning phase includes steps 1 to 4, and the prediction phase includes step 5. The spec...
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