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Question pushing method and system

A problem push and problem technology, applied in the field of problem push methods and systems, can solve problems such as low efficiency and quality

Inactive Publication Date: 2012-08-15
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] It can be seen that the efficiency and quality of providing answers to users in the existing knowledge question answering system is low

Method used

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  • Question pushing method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0157] figure 1 The flow chart of the training process of the interest model provided by Embodiment 1 of the present invention, in this process, the word of interest is a feature value in the interest model, such as figure 1 As shown, the process may include the following steps:

[0158] Step 101: Grab the Q&A history data of each user.

[0159] In this embodiment, after the interest model is established for the first time, historical question and answer data of each user within a set period of time may be captured periodically, and the interest model may be updated using the captured historical question and answer data of each user.

[0160] Step 102: Perform text analysis on the historical question and answer data of each user, and extract interest words of each user.

[0161] In this step, the user's question history data may include: questions answered by the user, questions raised, questions browsed, questions queried, and the like. Among them, the question answered by...

Embodiment 2

[0188] When establishing a Profile model, user attributes are used as feature values ​​of the Profile model to obtain a collection of user attributes, including: geographical location, gender, age, industry, etc.

[0189] The above user attributes are usually static attributes, such as the geographical location, gender, age, industry and other registration information filled in by the user on the knowledge question and answer platform. At this time, if the user has a certain static attribute, the weight value of the static attribute in the Profile model Just set it to a fixed value, for example, if the fixed value is set to 1, if the user does not have a certain static attribute, the weight value of the static attribute in the Profile model is 0.

[0190] In particular, the user attribute of geographic location can also be determined by the user's interest words, and the interest word with the highest weight value in the interest model of user u can be used as the user's geogra...

Embodiment 3

[0192] In the relationship model, the relationship between different users is used as the characteristic value of the relationship model, which can include but not limited to: question-and-answer relationship, group relationship, and similar interest relationship. Correspondingly, when calculating the relationship between users, one or any combination of the above relationships may be considered.

[0193] If the relationship between different users in the relationship model only considers one or a combination of question-answer relationship and group relationship, the relationship weight Rela Rank1(u1, u2) between user u1 and user u2 can be determined by the following formula:

[0194] Rela Rank 1(u1, u2)=log(relaCnt+α2) / logβ2(5)

[0195] Among them, α2 and β2 are smoothing coefficients, which can be selected according to empirical values, for example, α2 is selected as 1.0, and β2 is selected as 2.0. relaCnt is the number of times that users u1 and u2 appear in the Q&A relat...

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Abstract

The invention provides a question pushing method and system, which are implemented based on pre-established user models, and the user models include at least two of the following models: an interest model, an attribute model, a behavior model and a relation model, wherein the interest model is established by exploiting questions asked by users and answers thereof, the attribute model is established based on user attributes, the behavior model is established by carrying out statistics on user behaviors, and the relation model is established based on relations between different users. The method comprises the following steps: A, carrying out text analysis on a question to be answered so as to extract question features; B, matching with the user models by using the extracted question features, and carrying out sequencing on users according to the matching degree of the question features with the users in each user model and a preset sequencing weight of each user model; and C, pushing the question to be answered to the front M users in the obtained sequence, wherein M is a preset positive integer. Through the method and system disclosed by the invention, the answer providing efficiency and quality of a knowledge questioning and answering system can be improved.

Description

【Technical field】 [0001] The invention relates to the technical field of the Internet, in particular to a method and system for pushing questions. 【Background technique】 [0002] With the rapid development of Internet technology, obtaining information and communicating with each other through the Internet has become a part of people's daily life. The knowledge question answering system is a system that uses communication functions to achieve information acquisition. Users can submit various questions in the knowledge question answering system through the webpage, query the status of the submitted questions, and decide which answer to use according to the status of the questions answered. Other users can view the questions by visiting this page and answer them according to their preferences and knowledge. [0003] In the current knowledge question answering system, once a question is submitted in the knowledge question answering system and displayed in the form of a question...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 姜庭欣谢双宾李连华罗建岚
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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