Commodity recommendation method and device combining RPA and AI
A product recommendation and product technology, applied in the field of data processing, can solve the problems of high similarity, low conversion rate of recommended product purchase, etc.
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example 1
[0037] In this example, the page information currently browsed by the user is determined. The page information may include page identification information, page content information, page type information, etc., and the recommended scene information is determined according to the page information. The recommended scene information can be arbitrarily distinguished from different recommended scenarios. The identification information of the information, for example, can be numbers, letters, or text descriptions, etc. Wherein, when the recommended scene information is a text description, the recommended scene information can include "recommended scene based on product details", "according to package balance Recommended scenarios", etc.
[0038] In this example, the product category to be recommended can be determined according to the page information. For example, when the page information is the displayed clothing category, the product category to be recommended is a category relat...
example 2
[0041] In this example, the page information is obtained, the preset corresponding relationship is queried, and the recommended scene information corresponding to the page information is obtained. For example, when the page information is the page identifier, if the page identifier corresponding to the page browsed by the user is the traffic margin view If the page is identified, the preset pairing relationship is queried, and the corresponding recommended scene information determined is a recommended scene based on the package traffic balance.
[0042] In this embodiment, the deep learning model can be trained based on NLP technology, the input of the deep learning model is page information, and the output is recommended scene information.
example 3
[0044] In this example, the current shopping scene information includes current holiday information, for example, if it is currently Christmas, the recommended scene is a recommended scene based on Christmas.
[0045] Step 102, determine candidate recommended commodities corresponding to the recommended scenario information, and determine a ranking strategy set corresponding to the recommended scenario information, wherein the ranking strategy set includes at least one sorting strategy.
[0046] As a possible implementation, the corresponding recall strategy set can be determined based on the recommendation scene information, wherein the recall strategy set includes at least one recall strategy, and the candidate recommended product is determined according to at least one recall strategy contained in the recall strategy set, where , since the recommended scene information is related to the user's purchase intention, at least one recall strategy determined according to the recom...
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