Word weight predicting model generating method, position recommending method and computer device

Abstract

The invention discloses a word weight predicting model generating method for predicting the word weights in position titles, a position recommending method and a computer device. The method includes the steps of obtaining a pre-collected position title training set, wherein the position title training set comprises a plurality of position titles, each position title is related to a corresponding word separating sequence, and each word separating sequence comprises one or more words obtained after word separating treatment of the corresponding position title; obtaining word features of all thewords in the related word separating sequence for each position title; calculating the marking weights of all the words in the word separating sequence related to each position title; establishing a logic regression model; training the logic regression model with the word features of all the words in the word separating sequence related to each position tile as the input and the corresponding marking weights as the output to generate a word weight predicting model, and indicating the predicted weights of all the words in each input position title through the output of the word weight predicting model.

Description

technical field [0001] The present invention relates to the field of Internet technology, in particular to a word weight prediction model generation method, a job recommendation method and a computing device for weight prediction of words in job titles. Background technique [0002] With the rapid development of Internet technology, more and more people are beginning to enjoy various conveniences that the Internet brings to work and life. Taking the traditional recruitment industry as an example, people can now use recruitment websites to search for companies and positions they are interested in, and then choose whether to submit resumes or contact employers. [0003] After the user enters the search term on the search page of the recruitment website, the search navigation can help the user quickly find the required job information among the massive job positions, and recommend each job information to the user in a certain order. At present, the mainstream job recommendatio...

AI Technical Summary

Problems solved by technology

At present, the mainstream job recommendation method mostly calculates the correlation between the search term and the job information, and feeds back the corresponding job information to the user according to the order of the correlation from high to low, and users generally give priority to browsing and ranking first. It is easy to ignore the following job information, which requires high accuracy and short time-consuming correlation calculation. However, the existing job recommendation methods have a big deficiency in this aspect.

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