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An information recommendation method and device

An information recommendation and information library technology, applied in the field of information interaction, can solve problems such as low accuracy and recall, poor semantic understanding, etc., and achieve the goal of improving accuracy and recall, improving accuracy and recall, and improving capabilities Effect

Active Publication Date: 2019-04-05
SHANGHAI XIAOI ROBOT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current question-and-answer interactive system based on natural language is poor in understanding the semantics of user-input questions, so that the information recommended to users still has problems with low accuracy and recall.

Method used

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  • An information recommendation method and device
  • An information recommendation method and device
  • An information recommendation method and device

Examples

Experimental program
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Effect test

no. 1 example

[0077] Combine below figure 1 with figure 2 A flowchart of an information recommendation method in the first embodiment of the present invention will be described. Such as figure 1 An information recommendation method shown may include the following steps:

[0078] Step S101: After n times of question-and-answer interactions with the user, receive the user's current question, and extract the core words corresponding to each question input by the user to form a core word sequence corresponding to the user's question sequence; where n is greater than the natural number of 0;

[0079] Step S102: searching for a set of candidate questions corresponding to the current question from the knowledge base;

[0080] Step S103: searching for a target related question sequence corresponding to the core word sequence from the related question sequence information database, and extracting a current related question corresponding to the current question from the target related question s...

no. 2 example

[0121] Combine below figure 2 with image 3 The second embodiment of the present invention will be described, image 3 is a flowchart of an information recommendation method in the second embodiment of the present invention, and the information recommendation method may include:

[0122] Step S301: After n times of question-and-answer interactions with the user, receive the user's current question, and extract the core words corresponding to each question input by the user to form a core word sequence corresponding to the user's question sequence; where n is greater than the natural number of 0;

[0123] Step S302: searching for a set of candidate questions corresponding to the current question from the knowledge base;

[0124] Step S303: searching for the target related question sequence corresponding to the core word sequence from the related question sequence information database, and extracting the current related question sentence corresponding to the current question...

no. 3 example

[0135] Figure 4 is a schematic structural diagram of an information recommendation device in the third embodiment of the present invention. The information recommendation device 40 as shown in the figure may include: a user question core word sequence acquisition unit 401, a candidate question set search unit 402, a target related question sequence search unit 403, a similarity calculation unit 404, and an answer information recommendation unit 405 and associated question sequence information library acquisition unit 406.

[0136] The user question core word sequence acquisition unit 401 is adapted to receive the user's current question after n times of question-and-answer interactions with the user, and extract the core words corresponding to each question input by the user to form a user question The core word sequence corresponding to the sequence; wherein n is a natural number greater than 0;

[0137] The candidate question set search unit 402 is adapted to search the c...

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Abstract

The present invention provides an information recommendation method and apparatus. The method comprises: after n question and answer interactions with a user, receiving a current question of the user, and extracting a core word corresponding to each question of the user, so as to form a core word sequence corresponding to a user question sequence; searching a knowledge base for a candidate question set corresponding to the current question; searching an associated question sequence information base for a target associated question sequence corresponding to the core word sequence, and from the target associated question sequence, extracting a current associated question corresponding to the current question; calculating a similarity value between each question in the candidate question set and the current associated question and a similarity value between the current associated question and the current question separately; and when a calculated greatest similarity value is greater than a similarity threshold, providing the user with answer information of a question corresponding to the greatest similarity value; or when the greatest similarity value is lesser than the similarity threshold, providing answer information of the current associated question. According to the scheme provided by the present invention, the accuracy and the recall rate of the answer information recommended to users are improved.

Description

technical field [0001] The present invention relates to the technical field of information interaction, in particular to an information recommendation method and device. Background technique [0002] In the field of information interaction technology, based on the input question, the system can return information related to the input question through the analysis and calculation of the question. For example, in the technology of webpage search, the search engine adopts the method of keyword matching to return webpages containing the searched keywords, so as to recommend related information to users. In contrast, the information interaction method based on the question answering system can better provide users with the answer information they want to obtain, reduce the user's further search, and improve the user's interactive experience. [0003] Accuracy and recall are technical indicators for evaluating automatic question answering systems. The accuracy rate refers to the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/332
CPCG06F16/3344G06F16/9535
Inventor 张昊朱频频
Owner SHANGHAI XIAOI ROBOT TECH CO LTD
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