Method and device for determining search intention of user
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A search intent and user technology, applied in the field of search engines, can solve problems such as not being able to meet user search needs, and not guarantee the hit rate of search results
Active Publication Date: 2020-09-18
EZHOU INST OF IND TECH HUAZHONG UNIV OF SCI & TECH +1
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[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 di...
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Embodiment 1
[0067] This embodiment provides a method for determining a user's search intent, such as figure 1 As shown, the methods include:
[0068] S110. Determine an initial entity set according to the target set to be searched, and construct a knowledge map of the target to be searched and a semantic concept feature vector of each entity according to the initial entity set;
[0069] The targets to be searched may include various types of targets to be searched, such as webpages, documents, songs, and locations. For each type of target to be searched, the set of targets to be searched may include at least one corresponding target to be searched. For example, when the object to be searched is a song, the set of objects to be searched may include multiple songs.
[0070] In order to improve the accuracy of the user's search intention, the initial entity set is determined according to the target set to be searched, and the knowledge graph of the target to be searched and the semantic co...
Embodiment 2
[0131] This embodiment provides a device for determining a user's search intention, such as Figure 4 As shown, the device includes: a construction unit 41, an establishment unit 42, a generation unit 43, an inference unit 44, and a determination unit 45; wherein,
[0132] The construction unit 41 is used to determine the initial entity set according to the target set to be searched, and construct the target knowledge graph to be searched and the semantic concept feature vector of each entity according to the initial entity set;
[0133] constructing a heterogeneous node graph by using the target set to be searched and the initial entity set, and constructing a first adjacency matrix corresponding to the heterogeneous node graph;
[0134] The establishment unit 42 is configured to receive at least one historical search click event input by a user, use the historical search click event as a weak supervision target, establish a supervisory model of the first adjacency matrix, an...
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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...
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