Recommendation method based on quantum heuristics

Abstract

The invention provides a recommendation method based on quantum heuristics, and belongs to the technical field of the Internet, and the recommendation method based on quantum heuristics specifically comprises the following steps: collecting user scene information data; inputting user information data; extracting large-probability information quantity; complementing and filling the data information; preliminary sorting recommendation results; reprocessing the recommendation results. According to the recommendation method based on quantum heuristics, a quantum heuristics matrix completion modelcan be used in recommendation problems, and users and recommended items are combined into a preference matrix; the method is used for analyzing user behaviors and recommending content. The algorithm is a pure mathematical method, is essentially a matrix completion algorithm, does not need a training process of parameters, has less dependence on data, can alleviate the problem of cold start of users and information to a certain extent, can add a manual intervention mechanism to limit or prohibit certain vocabularies, and prevents the vocabularies from appearing in advance.

Description

technical field [0001] The invention belongs to the technical field of Internet recommendation algorithms, in particular to a recommendation method based on quantum inspiration. Background technique [0002] With the rapid development of the Internet, the information on the Internet is increasing exponentially every year. How to accurately obtain the required information in this massive information base has become a problem that people pay more and more attention to. Especially with the rapid popularization of various mobile terminal media platforms, the way people obtain information is also quietly changing. The "U.S. Social Media Platform News Usage Report" shows that 62% of American adults get news from social media; the "China Mobile Information Information Distribution Market Special Research Report" shows that in the domestic information information distribution market, the content pushed by algorithms has More than 50%; the survey by the Reuters Institute of Journal...

AI Technical Summary

Problems solved by technology

[0009] In order to solve the above technical problems, the present invention provides a recommendation method based on quantum heuristics to solve the ubiquitous problems of existing traditional algorithms, such as long training time, large resource occupation, "information cocoon room", "echo room", "group "Polarization" and other defects, but quantum algorithms cannot be put into commercial use immediately in the short term, and it is difficult to create social benefits in a short period of time, while the development of traditional electronic computing has stagnated, and the problem of Moore's Law cannot be guaranteed

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