A method for recommending pictures of tourist destinations

Abstract

The invention discloses a method for recommending pictures of tourist destinations. The method establishes a corpus of emotional theme features for picture readers and a corpus of theme features for picture senders, and calculates the theme conveyed by each picture and its prediction through the correlation model of the two. The degree of fit between the emotions of the image readers obtained provides a set of quantifiable big data recommendation framework for the selection of destination image recommendation materials. From the perspective of the audience, the image content that can most impress the audience can be recommended for destination Picture recommendation can greatly improve the quality of marketing, and provide differentiated and accurate picture recommendations for different customer sources.

Description

technical field [0001] The invention relates to the technical field of picture processing and the field of information recommendation, and more specifically relates to a method for recommending pictures of tourist destinations. Background technique [0002] At present, the tourism industry is developing rapidly, and the competition in the tourism industry market is becoming increasingly fierce. Tourism destination promotion has become an important means in the competition process. The existing promotion subject is mainly the Destination Marketing Organization (DMO, Destination Marketing Organization). Tourism picture recommendation is used to promote destinations. The picture recommendation method lacks quantifiable means and methods, and is more based on the DMO’s own subjective judgment. The lack of awareness and analysis of the audience (potential tourists) may easily lead to the spread of pictures. The phenomenon of deviation and distortion in the image of the destinatio...

AI Technical Summary

Problems solved by technology

[0002] At present, the tourism industry is developing rapidly, and the competition in the tourism industry market is becoming increasingly fierce. Tourism destination promotion has become an important means in the competition process. The existing promotion subject is mainly the Destination Marketing Organization (DMO, Destination Marketing Organization). Tourism picture recommendation is used to promote destinations. The picture recommendation method lacks quantifiable means and methods, and is more based on the DMO’s own subjective judgment. The lack of awareness and analysis of the audience (potential tourists) may easily lead to the spread of pictures. deviations and distortions in the image of destinations

A more common situation is that for the same picture, there is often a cognitive inconsistency between the DMO and the picture reader, which leads to a negligible role in the promotion of tourist destinations after the DMO recommends the picture.

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