Weighting trajectory data set construction method based on user behaviors

Abstract

The invention discloses a weighting trajectory data set construction method based on user behaviors. The weighting trajectory data set construction method comprises the following steps: (1) according to product information, user access information and commodity transaction information contained in the access log data of an e-commerce website platform, combining with a product category published by a product publisher to generate an access record data set corresponding to each product category; (2) according to characteristic attributes, generating a weight of each access record in the access record data set, and obtaining a weighting access record set, wherein the characteristic attributes comprise dwell time generated when a user browses a website commodity information page, webpage clicking frequencies in the same conversation and the presence or the absence of the transaction; (3) grouping the weighing access data set according to a commodity ID (Identifier), selecting k records with the maximum weights, extracting the search keywords of the k records, and generating a search keyword group of the commodity; and (4) utilizing an average weight of the k records as the weight, which corresponds to an access trajectory, of the commodity to generate a weighting trajectory of the commodity, and constructing the weighting trajectory data set.

Description

technical field [0001] The present invention relates to a data set construction method, in particular to a user behavior-based weighted trajectory data set construction method. Background technique [0002] With the rapid development and popularization of e-commerce, the e-commerce platform has become an important medium for modern product producers and purchasers, and more and more enterprise users transfer product information (such as product name, The platform publishes and displays, and purchasing users search for interested products through the query interface provided by the e-commerce platform. In this process, buyers hope to quickly and accurately search for products most relevant to the input query information; and product publishers hope that their products can be paid attention to by buyers with a high probability. The realization of the two types of requirements depends on the product name and keywords marked on the platform by the product publisher have a good ...

AI Technical Summary

Problems solved by technology

The realization of the two types of requirements depends on the product name and keywords marked on the platform by the product publisher have a good match with the search terms entered by the purchaser. However, different purchasers use the e-commerce platform to inquire about the target product. When searching, there are often different habits (including the organization form of search terms, description methods, etc.), the diversity of buyers' search behavior makes it difficult for product information publishers to solidify product description information to meet the needs, and product keywords and other descriptions may appear. Reduced match due to inappropriate information

Images