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Recommendation method based on label semantic normalization

A tag and semantic technology, which is applied in the fields of using information identifiers to retrieve Web data, special data processing applications, instruments, etc., can solve the problems of system data sparsity, cold start stability, and difficulty in recommending tag semantic associations for recommendation systems, and achieves a high level of improvement. Recommendation quality, clear effect of semantic expression

Active Publication Date: 2017-04-26
FOCUS TECH +1
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Problems solved by technology

[0005] The purpose of the present invention is to solve the disadvantages of the recommendation system itself. The disadvantages include the data sparsity of the system, cold start problems and stability problems. These disadvantages make it difficult for the recommendation system to make correct recommendations based on the historical behavior of users Problems such as Internet information overload and the complexity and fragmentation of tags in the social tagging system, which are not easy to produce semantic associations,

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  • Recommendation method based on label semantic normalization
  • Recommendation method based on label semantic normalization
  • Recommendation method based on label semantic normalization

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[0025] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0026] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] figure 1 It is a flow chart of a tag semantics-based normalization recommendation method provided by an embodiment of the present invention. like figure 1 As shown, S101: preprocess the user-defined label to obtain the preprocessed label; S102: use the Word2Vec training...

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Abstract

The invention relates to a recommendation method based on label semantic normalization. The method comprises the steps that a user-defined label is preprocessed to obtain the preprocessed label, and label semantic similarity is obtained according to calculation; a label resource matrix is obtained according to the preprocessed label, and then label resource co-occurrence similarity is obtained through calculation; linear fusion similarity is obtained through calculation according to the label semantic similarity and the label resource co-occurrence similarity, the linear fusion similarity is subjected to clustering operation to obtain label data after semantic normalization by a user, and collaborative filtering recommendation is performed in combination with the label data obtained after semantic normalization by the user. With respect to a plenty of redundant labels or labels with inaccurate semantic expression in a previous label system, by means of label normalization, the semantic expression of the normalized labels can be clearer; in a recommendation system, recommendation quality, namely accuracy and efficiency can be improved, and recommendation time can be shortened.

Description

technical field [0001] The invention relates to the field of personalized recommendation methods, in particular to a personalized recommendation technology for building a user interest model based on tags. Background technique [0002] The rapid development of the Internet has greatly changed the way people search for information and share knowledge, and at the same time changed the way of communication and interaction between people. With the continuous growth of information, users need to spend a lot of time and energy to find the resources they need from the massive information. This phenomenon is called the problem of information overload. So the recommendation system was born. The recommendation system is a technology that intelligently selects a small number of resources that reflect user preferences from massive information resources and recommends them to users based on user preferences and some historical data, thereby better solving the problem of information over...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535G06F16/955
Inventor 叶婷曹杰姚瑞波崔莹伍之昂申冬琴
Owner FOCUS TECH
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