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Query word classifying method and query word classifying device

A classification method and query word technology, applied in the computer field, can solve problems such as low query efficiency, inability to conduct effective industry queries, and inaccurate queries, achieve accurate industry query results, improve query efficiency and search experience, and high query efficiency. Effect

Active Publication Date: 2015-03-18
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a query word classification method and device to solve the problems in the prior art that the industry that the user needs to query cannot be determined according to the user's query word, resulting in the inability to perform effective industry query, insufficient query accuracy, and low query efficiency

Method used

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  • Query word classifying method and query word classifying device
  • Query word classifying method and query word classifying device

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Embodiment 1

[0021] refer to figure 1 , shows a flow chart of steps of a method for classifying query words according to Embodiment 1 of the present invention.

[0022] The query word classification method of the present embodiment comprises the following steps:

[0023] Step S102: Obtain the input query words, and generate leaf industry category distribution vectors corresponding to the query words.

[0024] Wherein, the leaf industry category distribution vector corresponding to the query word includes the industry category of at least one leaf node corresponding to the query word. Industry categories may have multiple levels of nodes, each level of nodes may have multiple industry categories, each industry category of nodes at each level corresponds to a category word vector, and each category word vector includes multiple category words.

[0025] In the multi-level industry category, when the multi-level industry category is displayed in a tree structure, the leaf node of the tree st...

Embodiment 2

[0035] refer to figure 2 , shows a flow chart of steps of a method for classifying query words according to Embodiment 2 of the present invention.

[0036] The query word classification method of the present embodiment comprises the following steps:

[0037] Step S202: Generate the corresponding relationship between the query word and the industry category of the leaf node.

[0038] The corresponding relationship between the query word and the industry category of the leaf node can be generated in the following way: obtain the user's search click information, wherein the search click information includes: the query word information entered by the user, and the product information clicked by the user according to the query result; Search click information, and the corresponding relationship between commodities and categories of commodities, and obtain the corresponding relationship between query words and industry leaf categories.

[0039] During specific implementation, at ...

Embodiment 3

[0080] refer to image 3 , shows a flow chart of steps of a method for classifying query words according to Embodiment 3 of the present invention.

[0081] The query word classification method of the present embodiment comprises the following steps:

[0082] Step S302: Generate and save the corresponding relationship between the query word and the industry category of the leaf node.

[0083] One way is to generate and save the corresponding relationship between the query words and the industry categories of the leaf nodes through the search click information in the user search click log. In this way, the front end of the search page needs to be set to record the click behavior. For example, you can directly add a parameter to the URL of the clicked product information and category navigation to indicate that this is the user's search click. The front-end search page can obtain user information, query word information, commodity information and category information of the com...

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Abstract

The invention provides a query word classifying method and a query word classifying device. The query word classifying method comprises the following steps of acquiring an inputted query word; generating a leaf industry category distribution vector which corresponds to the query word and comprises industry categories of at least one leaf node corresponding to the query word; determining the industry category of the leaf node of the query word according to category word vectors of the industry categories of various leaf nodes corresponding to the query word; and determining the industry category of the query word according to the determined industry category of the leaf node and a preset mapping relation of various industry categories. Various industry categories of various nodes correspond to corresponding category word vectors, and each category word vector comprises a plurality of category word. By the query word classifying method and the query word classifying device, an industry query result is accurate, and the query efficiency is high.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a query word classification method and device. Background technique [0002] E-commerce is the use of computer technology, network technology and remote communication technology to realize the entire business process of electronization, digitization and networking. With the development of e-commerce, more and more e-commerce specialized websites come into being. In today's e-commerce specialized websites, how to carry out industry vertical segmentation is the focus of the B2B (Business To Business) market. [0003] However, on the one hand, users often do not actively link to industry market pages out of habit, resulting in the industry market pages being unable to conduct effective industry searches due to low user traffic and business development; on the other hand, existing Search engine technology, when a user enters a query word, will only return the direct result corres...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 丘鹏史可可
Owner ALIBABA GRP HLDG LTD
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