Unlock instant, AI-driven research and patent intelligence for your innovation.

A keyword recommendation method and system based on latent Dirichlet allocation (lda) model

A recommendation method and keyword technology, applied in the field of artificial intelligence, can solve problems such as difficult keyword recommendation

Active Publication Date: 2018-01-05
ALIBABA (CHINA) CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, it is impossible to provide more targeted keyword recommendations for more subdivided texts in a certain industry. For example, it is possible to get more accurate keyword recommendations for sports-related topics, but it is difficult to get the second-level classification of sports cars. keyword recommendation

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A keyword recommendation method and system based on latent Dirichlet allocation (lda) model
  • A keyword recommendation method and system based on latent Dirichlet allocation (lda) model
  • A keyword recommendation method and system based on latent Dirichlet allocation (lda) model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0029] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.

[0030]Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.

[0031] In all examples shown and discussed herein, any specific values ​​should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have diff...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a keyword recommendation method and system based on a Latent Dirichlet Allocation (LDA) model. The method includes: basic LDA training and incremental LDA training. The basic LDA training obtains the probability distribution of the basic words to the topic and the probability distribution of the basic text to the topic for the training text; the incremental LDA training is aimed at a specific incremental seed word, and the training text that matches the incremental seed word is calculated. Quantitative LDA model to obtain the probability distribution of incremental words to topics, and the probability distribution of incremental text to topics; finally, the probability distribution of full quantifiers to topics and the probability distribution of full text to topics are formed. And calculate the correlation weight and the final correlation score for every two words in the full model, and recommend one or more keywords with the highest final correlation score. By adopting the incremental training model, the present invention greatly improves the accuracy of topic clustering and the diversity of topics, and remarkably improves the quality of keywords in topics.

Description

technical field [0001] The present invention relates to artificial intelligence technology, more specifically, to a keyword recommendation method and system based on a Latent Dirichlet Allocation (LDA) model. Background technique [0002] In search engines, the application of recommendations is a trend in the development of search engines, especially in the context of wireless search, the demand for recommendations is particularly important. Because in the case of wireless search, the cost of obtaining information is higher when the user has a smaller screen, and the user hopes that the machine can better understand the user's needs and provide similar recommendations while satisfying the current search query. query information, so it is especially important to cut into recommendations in search. [0003] In current search engines, there are roughly two types of usage scenarios for recommendations. One is to provide users with some personalized recommendations based on the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06N20/00
CPCG06F16/335G06F16/951G06N20/00G06F16/00G06F16/3346G06F16/3347G06F40/242G06F40/30G06N7/01G06N5/04
Inventor 吴敬桐李天宁
Owner ALIBABA (CHINA) CO LTD