A smart caching system and its method for distinguishing the relevance of user preferences
A caching system and caching technology, applied in transmission systems, special data processing applications, instruments, etc., can solve problems such as a single cache structure, and achieve the effect of optimizing user experience and improving resource utilization.
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Embodiment 1
[0069] Figure 4 A schematic structural diagram of a smart cache system provided in Embodiment 1 of the present invention, including a content classification unit 100, a user classification unit 200, a cache establishment unit 300, a cache maintenance unit 400, a cache decision policy unit 500, and a cache replacement policy unit 600, wherein,
[0070] The content classification unit 100 is used to classify resource content. The processing unit extracts keywords by analyzing the data packets arriving at the cache node, then uses the keywords to query the established content feature classification library, and finally returns the content category.
[0071] The content classification unit 100 is responsible for classifying data packets. The processing unit first performs deep data packet inspection (DPI) on the data packets arriving at the cache node, judges the network type of the data packet, extracts the keywords, then uses the keywords to query the established content featur...
Embodiment 2
[0102] Embodiment 2 of the present invention provides a method for a smart caching system to distinguish the geographical correlation of user preferences, as shown in the figure, wherein:
[0103] Step 10, at T 1 In the timing period, analyze the data packets passing through the router, classify them through the content classification unit and the user classification unit, and save the classified results.
[0104] The content classification unit and the user classification unit perform deep data packet inspection (DPI) on the data packets arriving at the cache node, judge the network type of the data packet, extract keywords, and then use the keywords to query the established content feature classification database and user The location feature classification library obtains the content category and user set to which the data package belongs, and saves the processed data into the database.
[0105] In step 20, the cache building unit performs cluster analysis on the classific...
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