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A method for evaluating the output results of autonomous recommendation algorithms based on third-party data

A recommendation algorithm and data technology, which is applied in the field of evaluating the output results of independent recommendation algorithms based on third-party data, which can solve the problems of evaluating recommendation algorithms without quantitative methods, and achieve the effect of wide applicability.

Active Publication Date: 2020-10-09
SICHUAN CHANGHONG ELECTRIC CO LTD
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Problems solved by technology

[0002] In the development of recommendation algorithms (such as Item-CF, User-CF, Content-based algorithm, etc.) The actual effect of the algorithm output results, and the output results of some other recommendation systems in the same field are relatively recognized, so the actual output of the currently developed recommendation algorithm can be evaluated through the existing output results of these third parties Effect
The present invention aims to propose a quantitative evaluation method to solve the evaluation problem of the algorithm development results of the recommendation system

Method used

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  • A method for evaluating the output results of autonomous recommendation algorithms based on third-party data
  • A method for evaluating the output results of autonomous recommendation algorithms based on third-party data
  • A method for evaluating the output results of autonomous recommendation algorithms based on third-party data

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Embodiment Construction

[0048] The specific implementation of the technical solution of the present invention will be described in detail below by using Douban recommendation results to evaluate the recommendation results of a content-based recommendation algorithm (Content-based recommendation algorithm) as an example.

[0049] Such as figure 1As shown, the embodiment is a method for evaluating the output results of an autonomous recommendation algorithm based on third-party data, and the specific steps are as follows:

[0050] Step 1: First, obtain Douban's program recommendation list List1 of "People who like this movie also like..." through crawler technology, and obtain the program recommendation list of self-developed algorithm through content-based recommendation algorithm Result List2; Then, List2 is deleted in List1 without the record of corresponding key (that is, program id, cid), and this step deletes the record of List2 in List1 without corresponding key, which can improve computational ...

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Abstract

The invention belongs to the technical field of evaluation of recommending systems and algorithms and discloses a method of evaluating output results of an autonomous recommending algorithm based on third-party data. Third-party recommendation results recognized in the art are used to quantitatively evaluate actual output effect of a current recommending algorithm. Third-party data are acquired first by purchasing (or other technical means, such as crawler technology), output result data of the current recommending algorithm are acquired, and the actual output effect of the current recommending algorithm is quantitatively evaluated through the acquired third-party data. The method of the invention is applicable to the evaluation of output results of autonomous recommending algorithms.

Description

technical field [0001] The invention relates to the technical field of evaluation of recommendation system algorithms, in particular to a method for evaluating output results of autonomous recommendation algorithms based on third-party data. Background technique [0002] In the development of recommendation algorithms (such as Item-CF, User-CF, Content-based algorithm, etc.) The actual effect of the algorithm output results, and the output results of some other recommendation systems in the same field are relatively recognized, so the actual output of the currently developed recommendation algorithm can be evaluated through the existing output results of these third parties Effect. The invention aims to propose a quantitative evaluation method to solve the evaluation problem of the algorithm development results of the recommendation system. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a method for evaluating...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/15
CPCG06F17/15
Inventor 肖欣庭孙永强刘鑫牛小明唐军蒲文龙
Owner SICHUAN CHANGHONG ELECTRIC CO LTD