Literature information common mode-based recommendation method

A recommendation method and literature technology, applied in the computer field, can solve the problems of low recommendation efficiency, lack of similarity research, and failure to consider the availability and efficiency of literature databases, etc., so as to improve recommendation efficiency and adoption rate, and increase diversity Effect

Active Publication Date: 2017-11-10
BEIJING FORESTRY UNIVERSITY
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Problems solved by technology

[0009] However, as the number of documents continues to increase, these research results either do not consider the availability and efficiency of a large number of document databases, and only recommend a single document information such as the subject headings of the documents or the citations of the documents, so the recommendation efficiency is not high. , at the same time, the focus of the existing research results is to focus on the similarity between the documents, and there is no further research on the similarity

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  • Literature information common mode-based recommendation method
  • Literature information common mode-based recommendation method
  • Literature information common mode-based recommendation method

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Embodiment Construction

[0039] see figure 1 , is a flow chart of a recommendation method based on the common pattern of document information in the present invention, which can recommend scientific and technological documents of interest to users. in figure 2 The flow chart of obtaining the general pattern of document information for the present invention, the specific implementation includes: according to the keyword information of the document, using the pattern recognition algorithm based on the clustering mechanism to obtain the keyword pattern of each document; based on the document that the user is visiting, through the The keyword pattern of the document, recommending other documents with a common pattern to the user, see the recommendation result display Figure 4 .

[0040] Specific examples are provided below to further illustrate the technical solution of the present invention, so as to understand the essence of the present invention. Specific steps are as follows:

[0041] Step 1. Ut...

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Abstract

The invention discloses a literature information common mode-based recommendation method, and aims at recommending interested scientific and technical literatures for users. The method specifically comprises the following steps of: obtaining a keyword mode of each literature by utilizing a clustering mechanism-based mode identification algorithm according to keyword information of the literatures; and recommending other literatures with a common mode to a user on the basis of the literature currently accessed by the user through the keyword mode of the literature. The method is a literature keyword common mode-based recommendation method; and according to the method, interested literatures can be recommended to users without the history behavior data of the users, so that the diversity of the recommendation results is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a recommendation method based on a common pattern of document information. Background technique [0002] Academic literature is an important information resource for researchers to carry out scientific research activities or continue scientific research. According to statistics, from 2004 to 2014, Chinese researchers published a total of 1,369,800 scientific and technological literature, ranking second in the world. However, facing the ever-expanding literature in the information age, how to quickly find the academic literature they need is a very serious task. [0003] The recommendation system is a system for recommending similar objects to users. By identifying the feature information of the recommended objects, matching recommended objects with similar feature information is used in the recommendation system as the recommendation result. At present, the main recommendation...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/3344G06F16/3347G06F16/337G06F16/355
Inventor 曹佳王思檬齐雯
Owner BEIJING FORESTRY UNIVERSITY
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