Text recommendation method and device

A recommendation method and text technology, applied in the computer field, can solve problems such as deviation of hotspot issues, achieve the effect of reducing workload, improving user experience, and reducing manual input

Pending Publication Date: 2019-10-08
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Application Information

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Problems solved by technology

[0004] Due to the differences in the observation ability and understanding level of different customer service personnel and the unavoidable subjectivity of manual summarization, there are deviations in the hot issues summarized in the prior art

Method used

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  • Text recommendation method and device
  • Text recommendation method and device
  • Text recommendation method and device

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Embodiment Construction

[0035] Exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present invention to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0036]The technical solution of the embodiment of the present invention recommends to the user by automatically counting the text to be recommended from a large number of historical texts, which reduces the manual input of the user, improves the user experience, and also reduces the workload of the customer service personnel; when determining the text to be recommended , a...

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Abstract

The invention discloses a text recommendation method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: acquiring a plurality of historical texts, and classifying the plurality of historical texts into at least one text category according to the similarity among the historical texts; grouping the text categories accordingto the number of historical texts contained in the text categories to obtain at least one text group; selecting a standard text from each text group as a to-be-recommended text for recommendation, wherein the standard text of each text group is a historical text with the maximum repetition frequency in each text category of the text group. According to the embodiment, the hotspot text can be automatically and accurately extracted from the plurality of historical texts to be recommended to the user, so that manual input is not needed when the user consults.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a text recommendation method and device. Background technique [0002] In real life, users often consult about certain items before or after sales, and the questions to be consulted are input by the users themselves. If one or more hot issues of the item can be determined from the historical consultation questions of the item and provided to the user, the user's manual input can be reduced and the user's experience can be improved. In the prior art, the above-mentioned hot issues are generally summarized by using the work experience of the customer service personnel. [0003] In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] Due to the differences in the observation ability and understanding level of different customer service personnel and the unavoidable subjectivity of man...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F16/36G06F16/9535
CPCG06F16/36G06F16/35G06F16/9535
Inventor 杨俊
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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