An evaluation method and mobile phone for information recommendation effect based on facial expression images

Abstract

The present invention relates to a method for evaluating the effect of information recommendation based on facial expression images and a mobile phone. The method provides recommended information such as pictures, texts, videos, games, etc. to users for reading and watching, collects facial expression images of users when reading, and extracts The facial expression image features, using the facial expression classifier to judge the user's emotional state at that time, and using the emotional state as the evaluation effect of information recommendation. The invention also discloses a mobile phone for evaluating the effect of information recommendation based on facial expression images, including: recommended information reading module, facial expression image acquisition module, feature vector construction module of facial expression images, facial expression classification module, information Recommendation effect evaluation module, and a facial expression training sample database. The effect of the present invention is that the collection of human facial expressions is more natural, the evaluation is more real, and the use is more convenient, and it can be applied to improving advertisement placement methods, improving video recommendation methods, improving game design strategies, and the like.

Description

technical field [0001] The invention relates to an evaluation method of information recommendation effect based on facial expression images and a mobile phone, belonging to the fields of information recommendation and pattern recognition. Background technique [0002] Information recommendation is a popular field in recent years, such as e-commerce, social networking sites, etc. It solves the problem of information overload for users and undertakes the burden of avoiding information "overload" on the basis of identifying customer consumption preferences. trouble. Precise advertising is another kind of special information recommendation. At present, many merchants spend huge sums of money on advertising, hoping to use the huge user base to promote advertising on a large scale. This kind of information recommendation reduces the troubles for users. Another type of information recommendation is used to improve marketing strategies and develop new businesses. For example, in te...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the existing information recommendation system lacks the problem of automatic evaluation of recommended information, especially does not consider the user's psychological reflection on recommended information, and it is difficult to obtain a satisfactory recommendation effect

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