Method and device for determining search intention of user

Abstract

The invention provides a method and a device for determining a search intention of a user. The method comprises the following steps: constructing a to-be-searched target knowledge graph and semantic concept feature vectors of entities according to an initial entity set; constructing a heterogeneous node graph and a corresponding first adjacent matrix; receiving a historical search click event, andestablishing a supervision model of the first adjacent matrix; receiving a current search keyword, and generating a candidate search intention extension entity set according to the current search keyword and the to-be-searched target knowledge graph; performing intention reasoning on the candidate search intention extension entity set by utilizing a supervision model to obtain a to-be-extended search keyword result set corresponding to the search intention; determining a target search keyword sequence corresponding to the search intention according to the to-be-extended search keyword resultset and the semantic concept feature vector. Therefore, when the search term input by the user has diversity, fuzziness and ambiguity, the knowledge graph and the semantic concept feature vector can be used for reasoning, expanding and filling the search term, so that the search is clearer.

Description

technical field [0001] The invention relates to the technical field of search engines, in particular to a method and device for determining a user's search intention. Background technique [0002] The search function can assist users to quickly and accurately obtain the required information from massive amounts of information. It not only creates a professional search engine, but also is a tool that almost all applications such as knowledge communities, entertainment and leisure, review and group buying, location navigation and e-commerce services must provide. However, with the explosive growth of information, data, and services, user search behavior presents new characteristics, mainly manifested as verticalization, fuzziness, multiple rounds, multiple intents, and uncertainty. Keyword-based search engines in the prior art cannot adapt to new changes. [0003] To address the above needs, user intent detection and representation has gradually become the core functions of s...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems existing in the prior art, the embodiment of the present invention provides a method and device for determining the user's search intent, which is used to solve the problem of the diversity, ambiguity and ambiguity of the user's search intent in the prior art. In certain cases, the hit rate of the search results cannot be guaranteed, and the technical problems cannot meet the user's search needs.

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