Personalized query word completion recommendation method and device based on similar user model
A user model, recommendation method technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve problems such as ignoring data sparsity
Active Publication Date: 2021-02-12
NAT UNIV OF DEFENSE TECH
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More seriously, existing studies usually ignore the data sparsity problem in personalized QAC, and those users with a small amount of query history are usually excluded.
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[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.
[0029] A schematic diagram of a layer structure according to an embodiment of the invention is shown in the drawing. The figures are not drawn to scale, with certain details exaggerated and possibly omitted for clarity. The shapes of the various regions and layers shown in the figure, as well as their relative sizes and positional relationships are only exemplary, and may deviate due to manufacturing tolerances or techni...
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A personalized query word completion recommendation method and device based on similar user models, the method includes: obtaining the prefix of the query word input by the user; obtaining a set of query words to be completed according to the query log and the query word prefix; calculating the query to be completed The frequency score of the term; according to the similar user model, the similarity between the user and the members of the same user group to which it belongs, and the similarity between the query words to be completed and the query words submitted by members of the same user group are obtained, and the query to be completed is calculated The similarity between the words and the query words submitted by similar users; according to the frequency score and the similarity between the query words to be completed and the query words submitted by similar users, the order of the query words to be completed is obtained; the query words to be completed are sorted Sorting and recommending the sorted query words to be completed to users solves the problem of sparse data for a single user, improves the stability of query word recommendation, and improves user experience.
Description
technical field [0001] The present invention relates to the technical field of query completion recommendation, in particular to a personalized query completion recommendation method based on similar user models, a non-temporary computer-readable storage medium, and a personalized query based on similar user models Word completion recommendation device. Background technique [0002] Query auto-completion recommendation (Query auto-completion, QAC) is a well-known technology widely used in search engines to facilitate users to submit query words. [0003] In related technologies, a series of completed query words can be obtained according to the prefix of the string entered by the user, and they are sorted and recommended to the user in the form of a recommendation list. It is through this method that QAC helps users construct queries in a time-saving and labor-saving manner. word. Generally speaking, the prefixes of query words are short and vague, which makes it difficult...
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IPC IPC(8): G06F16/332G06F16/335G06F16/338G06K9/62
CPCG06F16/3322G06F16/3334G06F16/3346
Inventor 蔡飞蒋丹阳陈洪辉刘俊先郑建明邵太华郝泽鹏陈皖玉陈涛
Owner NAT UNIV OF DEFENSE TECH