Item comment personalized recommendation method and system, electronic equipment and storage medium
A recommendation method and recommendation system technology, applied in the field of data mining, can solve the problems of inaccurate review scores, difficult to meet the accurate recommendation of item reviews, etc., to achieve good prediction effect and improve the effect of being selected.
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Embodiment 1
[0084] A personalized recommendation method for item reviews, such as figure 1 shown, including:
[0085] Step 101. Perform preprocessing on multiple item review data of an item. Wherein, the item may be a physical product or a virtual product, and the present invention does not limit the specific type of the item, which may be a product with a physical structure, a movie, a book, an electronic book, an online article, etc., and the corresponding item review data may be Content that describes the performance or quality of a product with a specific physical structure, content that evaluates the impression of a movie, content that evaluates a book or electronic book, or the content of an online article after reading it, etc.
[0086] Step 102, extracting features from the preprocessed item review data, recording the value of each feature and whether the item review data affects the user's selection of the item.
[0087] Step 103, taking whether the item comment data has an inf...
Embodiment 2
[0167] A personalized recommendation system for item reviews based on Xgboost, such as Figure 6 As shown, it includes: a data preprocessing module 201 , a feature engineering module 202 , an algorithm model module 203 and an online application module 204 .
[0168] The data preprocessing module 201 is used to preprocess multiple item review data of an item. Among them, the item review data can be collected through the big data platform of the e-commerce website and stored in the item review data set. The specific item review data can include but not limited to the following content: user-related information (such as the gender and age of the user who posted the comment) , rating on the e-commerce website, etc.), information related to the content of the review (such as the rating of the item, the length of the review, the time of the review, etc.), and other users’ feedback on the review (such as the number of likes on the review, etc.). The item comment data set also stores...
Embodiment 3
[0199] Figure 7 It is a schematic structural diagram of an electronic device provided by Embodiment 3 of the present invention. The electronic device includes a memory, a processor, and a computer program stored on the memory and operable on the processor. The processor implements the item review personalized recommendation method of Embodiment 1 when executing the program. Figure 5 The electronic device 30 shown is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.
[0200] Such as Figure 5 As shown, electronic device 30 may take the form of a general-purpose computing device, which may be a server device, for example. Components of the electronic device 30 may include, but are not limited to: at least one processor 31 , at least one memory 32 , and a bus 33 connecting different system components (including the memory 32 and the processor 31 ).
[0201] The bus 33 includes a data bus, an address bus, and a c...
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