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Academic literature recommendation method based on multiple dimensions

A recommendation method and multi-dimensional technology, applied in digital data information retrieval, Web data retrieval using information identifiers, special data processing applications, etc., can solve the problems of not fully considering the characteristics of academic literature, and not giving a literature recommendation scheme, etc. Achieve the effect of reducing time cost and using resources conveniently

Pending Publication Date: 2021-08-17
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the text specificity, strong academic nature, and field specialization of the academic resource recommendation system, the existing technical design does not fully consider the characteristics of academic literature, that is, does not give a more reasonable literature recommendation scheme

Method used

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  • Academic literature recommendation method based on multiple dimensions
  • Academic literature recommendation method based on multiple dimensions
  • Academic literature recommendation method based on multiple dimensions

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Embodiment Construction

[0047] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0048] The present invention designs a method for recommending academic documents based on multi-dimensions. Based on each reference document composed of each document that the target user has read and each collected document, the recommendation of each unread document to the target user is realized, such as figure 2 As shown, in practical applications, the following steps A to H are specifically performed.

[0049] Before the step, about the target user’s read documents, each favorite document, and each unread document, for example, it can be obtained from the network by means of a web crawler, such as figure 1 As shown, specifically, the web crawler starts with a pre-set initial seed URL, and then obtains the URL list on the initial web page, and continuously obtains a URL from the URL queue during the crawling proces...

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Abstract

The invention relates to an academic literature recommendation method based on multiple dimensions, which comprises the following steps: according to the characteristics of academic literatures and the requirements of academic literature service objects, on the basis of designing and using TF-IDF to calculate word segmentation weights by adopting a brand new logic design method, fusing paragraph characteristics and a concept subordinate tree to carry out weight calculation on keywords, highlighting the subject characteristics of the academic literature, finally, achieving the individualized recommendation of the academic literature in combination with the internal relationship between each bottom layer analysis dimension of the text and different levels of users. The users do not need to participate in the process of an academic recommendation system too much, so that the users are more convenient to use resources, and the time cost for searching the resources is reduced.

Description

technical field [0001] The invention relates to a method for recommending academic documents based on multiple dimensions, and belongs to the technical field of intelligent recommendation of academic documents. Background technique [0002] The rapid development of Internet technology has ushered in the era of big data. From the first online entertainment projects to today's academic resources, massive academic resources exist on the Internet in the form of data, which is changing the way people learn . More and more users are shifting from the original physical library to the network library. With the continuous growth of academic literature data on the network, Internet learning has become a mainstream trend. However, due to the excessive network resources, it is difficult for users to quickly locate the resources they need. This is the so-called information overload problem. Yahoo uses the information catalog technology, through which network resources are divided into ...

Claims

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Application Information

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IPC IPC(8): G06F16/955G06F16/906G06F16/9535G06F40/194G06F40/242G06F40/284
CPCG06F16/955G06F16/9535G06F16/906G06F40/194G06F40/284G06F40/242Y02D10/00
Inventor 胥备陶蒙蒙
Owner NANJING UNIV OF POSTS & TELECOMM