An intelligent recommendation system based on big data
A recommendation system and big data technology, applied in the field of data processing, can solve problems such as lack of real-time performance, inaccurate recommendation information, and large environmental restrictions, and achieve low scalability, low computing efficiency, and data sparsity Questions, recommendations and precise results
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[0049] An intelligent recommendation system based on big data provided by a preferred embodiment of the present invention includes a client, a server and a large cloud database, the client is connected to the server, and the server is connected to the cloud large database;
[0050] The client collects user log information and real-time operation attributes, writes them to the server, and displays the recommendation result information fed back by the server;
[0051] The server uses deep learning technology to analyze the collected user log information and real-time operation attributes, and establishes a user interest model;
[0052] According to the user interest model, the cloud large database uses a recommendation algorithm to screen out products to be recommended in real time, and then returns to the client through the server for display.
[0053] Further, the client can be a web terminal or a mobile terminal, including a log system and an interface display. The log system...
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