Personalized paper recommendation method and system thereof

A recommendation method, the technology of the paper, applied in the field of recommendation, can solve the problems that the recommendation results cannot meet the needs of users well, the cold start of the recommendation system, etc., and achieve the effects of improving development efficiency, reducing overhead, ensuring accuracy and recall rate

Active Publication Date: 2013-10-02
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0013] The purpose of the present invention is to provide a personalized paper recommendation method and its system, which are used to solve the problem that the recommendation results in the prior art cannot well meet the needs of users, and the recommendation system usually faces the problem of "cold start" and the like.

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  • Personalized paper recommendation method and system thereof
  • Personalized paper recommendation method and system thereof
  • Personalized paper recommendation method and system thereof

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Embodiment Construction

[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.

[0053] Such as figure 1 As shown, the flow chart of personalized paper recommendation using learning-to-rank method is described. The process uses the behavioral characteristics of academic papers written by researchers in the scientific research field, mines heterogeneous academic network data, extracts a large number of heterogeneous features, constructs the training data set required by the ranking learning method, and trains the ranking learning model offline; according to different users According to the behavior of online construction of user configuration, generate candidate paper collections that users are interested in, and generate online paper recommendation results based on the ranking learning model; receive user feedback online, and update the recommendation results accordingly a...

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Abstract

The invention discloses a personalized paper recommendation method and a system thereof. The method includes the following steps: step 1, finding out heterogeneous academic network data based on the behavioral characteristics of researchers writing academic papers in the filed of scientific research, and building a training dataset according to the heterogeneous academic network data, and training as per the training dataset to obtain a ranked study model; step 2, on-line building user configuration, generating candidate collected papers interested by users, generating the result of paper recommendation based on the ranked study model according to the candidate collected papers, generating paper recommendation as per a certain manner and returning the paper recommendation to a user based on the result of paper recommendation; step 3, on-line receiving user feedback, and updating the result of paper recommendation correspondingly as per different user feedback. The method and the system effectively solve the problem of cold start at the initial stage of the recommendation system, and guarantee the accuracy and recall rate of the recommendation result.

Description

technical field [0001] The invention relates to the technical field of recommendation, in particular to a user-based personalized paper recommendation method and system for an online socialized academic system. Background technique [0002] Paper review is an important part of the research work of researchers; by reviewing papers, it can not only help researchers understand the latest developments in related research directions, but also provide researchers with new ideas for solving problems. However, with the continuous improvement of scientific research level, the number of papers has also shown a rapid growth trend. As of February 2013, EI alone has included nearly 15 million academic papers. How to find high-quality papers of interest in the massive literature is a difficult problem faced by every researcher. Although academic search engines (such as Google Scholar) can help researchers search for papers to a certain extent, this keyword-based query mode has the follow...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 程学旗郭嘉丰薛欢廖华明曹雷
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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