Research on Information Recommendation Optimization Mechanism Based on Emotional Expression and Cognition

The information revolution brought by the rapid spread of the Internet has made people be more dependent on the Internet to obtain information. The internet products based on information are increasing the construction of the information recommendation system. But at present, the information recommendation systems are all limited to the content of information itself, ignoring the differences in the emotional expression of information. This research tried to purpose an approach for the information emotional semantic classification and recommendation based on emotional cognitive model. This research used news Internet product as an example to construct a quantitative coordinates of emotional cognition system through variable control, samples association analysis and statistical data analysis to improve the present information recommendation system. The results of verification experiment indicated that it is practical and effective for information classify and recommend. It is foreseeable that the theory of this research can be applied to other internet products about business, social communication and so on. Meanwhile, the research methods and results can be applied to psychology, sociology research and other specific areas, playing a guiding and testing role.

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