Commodity matching recommendation method and device based on attributes and titles

Abstract

The invention discloses a commodity matching recommendation method and a commodity matching recommendation device based on attributes and titles. The commodity matching recommendation method comprisesthe following steps of: acquiring matching scores among commodities by acquiring user order information within a period of time, acquiring a candidate commodity set with a relatively high matching score according to the condition of the matching score, and introducing heterogeneous co-occurrence frequency and heterogeneous co-occurrence inverse frequency to reduce the influence of hot commoditieson commodity matching, so as to obtain the relatively accurate candidate commodity set; meanwhile, acquiring vectors of attributes such as commodity styles and vectors of commodity titles and mappingthe two types of vectors into a vector space, learning the matching degree between the two commodities, establishing a commodity matching model, and then acquiring a matching rate between the commodities more accurately based on commodity attributes and titles; and selecting a candidate commodity which can be matched with the highest matching degree from the candidate commodity set of the commodities according to the commodity information purchased or inquired by the user. The commodity matching recommendation device is based on the commodity matching recommendation method, and aims to precisely recommend the matched commodities.

Description

technical field [0001] The invention relates to the field of collocation recommendation, in particular to a product collocation recommendation method and device based on attributes and titles. Background technique [0002] With the development of e-commerce, online shopping has gradually become the mainstream way of shopping. In shopping, merchants usually hope that users can recommend matching products after purchasing or paying attention to a certain product, or when users ask questions such as "what kind of pants should I wear with this T-shirt I bought", they can quickly and Accurate answers are given to ultimately improve user shopping experience and promote product sales. Such application scenarios are more common in clothing shopping. Although the matching and combination configuration of clothes can solve the above problems by human beings, it is undoubtedly a time-consuming and difficult task. At the same time, it requires the configuration personnel to have profes...

AI Technical Summary

Problems solved by technology

However, the number of words in the title is limited, and the characteristics of the product are obtained simply through the title, and many important information of the product will be missed.

On the other hand, training these models requires a large collocation dataset labeled by experts, which is also very time-consuming

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