Category label matching and mapping method and device
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A target and label technology, which is applied in the field of class target label matching and mapping method and device, can solve the problems of low matching and mapping speed and efficiency, time-consuming and labor-intensive, and low matching accuracy.
Active Publication Date: 2016-08-24
新浪技术(中国)有限公司
View PDF5 Cites 30 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0011] Embodiments of the present invention provide a category label matching and mapping method and device, which are used to solve the problems of low matching accuracy, time-consuming and labor-consuming, and low ma
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
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0092] The embodiment of the present invention provides a category tag similarity matching method, the process of which is as follows figure 2 shown, including the following steps:
[0093] Step S101: Obtain the label information of the source category label and the label information of the target category label.
[0094] Obtain the label information of each label in the source category label system and the target category label, where the label information includes at least one of the following information: label string, label vectorization information, label path information, and label node information. The node information of the label may include one or more of child node information, parent node information, sibling node information, and other information.
[0095] Step S102: According to the tag strings included in the tag information, respectively determine the literal similarity of each source tag and each target tag.
[0096] This step mainly calculates the primary...
Embodiment 2
[0139] The category tag matching mapping method provided by Embodiment 2 of the present invention has a process as follows image 3 shown, including the following steps.
[0140] Step S201: Obtain the label information of the source category label and the label information of the target category label.
[0141] Step S202: Perform a word segmentation operation on the acquired label information of the source category label and the label information of the target category label, and filter out useless words.
[0142] Perform data preprocessing on the acquired label information of the source category label and the label information of the target category label, so as to reduce subsequent unnecessary processing and further improve the speed of subsequent processing. Segment the tag information, decompose the complex phrase structure into individual words, such as mobile phone brand, decompose into two words of mobile phone and brand; filter the word segmentation, filter out useles...
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
Login to view more
Abstract
The embodiment of the invention provides a category label matching and mapping method and device. The method includes the steps that label information of source category labels and label information of target category labels are obtained; according to a label character string, literal similarity of all the source category labels and literal similarity of all the target category labels are determined; label vectorization information is obtained according to the label information and combined with label path information to determine semantic similarity of all the source category labels and semantic similarity of all the target category labels; according to the label path information, the structural similarity of all the source category labels and structural similarity of all the target category labels are determined; according to at least one of the literal similarity, the semantic similarity and the structural similarity of all the source category labels and all the target category labels, the source category label and the target category label with the similarity meeting set conditions are selected out, and a mapping relation is set up. Similarity matching and mapping of the labels can be achieved fast and accurately, the matching and mapping efficiency is high, manual participation is not needed, and manpower, material resources and financial resources are saved.
Description
technical field [0001] The present invention relates to the technical field of mutual understanding network data processing, in particular to a class tag matching mapping method and device for a data management platform (Data Management Platform, DMP). Background technique [0002] In the era of big data, the data management platform (DMP) has become an indispensable part of the field of Internet advertising and personalized recommendation. It is mainly used to store user browsing behavior, user interest and item attributes, etc., in order to provide better personalized services. However, due to the complexity of DMP technology, most websites or enterprises that need to process these user data will provide the data to a third-party data management platform for processing to facilitate application. [0003] Therefore, the third-party data management platform will accept user data from different websites or companies and provide unified data processing services. These user da...
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
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to view more 
Login to view more