Recommendation method and device based on team scientific research influence and sustainable modeling

Abstract

The invention discloses a recommendation method and device based on team scientific research influence and sustainable modeling. The method comprises the following steps: 1), classifying scientific research influence characteristics according to set scientific research influence characteristic attribute categories; 2), setting a label library; carrying out similarity matching on each scientific research achievement feature and a label in the label library, taking the matched label as an attribute name corresponding to the scientific research achievement feature, and taking a feature value of the scientific research achievement feature corresponding to the attribute name as an attribute value corresponding to the attribute name; 3), screening the attribute names through the set objective function and attribute values, and selecting a plurality of attribute names as core indexes to obtain an optimal core index set; 4), obtaining an index value corresponding to each scientific research team according to the optimal core index set, and calculating the integrated scientific research influence of the corresponding scientific research team according to the obtained index value, and 5), recommending the scientific research team according to the integrated scientific research influence of each scientific research team.

Description

technical field [0001] The invention belongs to the technical field of computer software, and is a method of actively learning and identifying the characteristic attributes of the team's scientific research influence and sustainability through a machine learning method, and then using multi-source data and multi-factor characteristics to model the team's scientific research influence and sustainability. Sexuality, and finally realize the recommendation of an authoritative team in the field of interest or field. Background technique [0002] An authoritative or interested team in the field of recommendation research is an important application direction of the recommendation system. The scientific research team recommendation is essentially obtained by calculating the scientific research influence and scientific research sustainability of a team composed of a series of scientific researchers. Scientific research influence is a kind of ability displayed by the team in the pro...

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Problems solved by technology

This kind of method has problems such as incomplete setting of indicators, or duplication or redundancy of indicators, that is, it is necessary to clarify the relationship between different characteristic factors and find the core characteristic indicators in order to more accurately model the influence of scientific research

On the other hand, scientific research influence is a long-term accumulation process, but there are also short-term evolution and transformation phenomena, such as the departure of core members of the team, etc. How to analyze long-term and short-term characteristic factors and combine them to model scientific research influence is the key Key issues to consider

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