A method for recommending pictures of tourist destination

A recommendation method and destination technology, applied in the field of image processing and information recommendation, can solve problems such as lack of cognition and analysis, deviation of destination image, and negligible promotion effect of tourist destinations, so as to achieve the effect of improving marketing quality

Active Publication Date: 2019-01-15
BEIJING INTERNATIONAL STUDIES UNIVERSITY
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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). However, DMO mainly through Tourism picture recommendation is used to promote destinations. The picture recommendation method lacks quantifiable me

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  • A method for recommending pictures of tourist destination
  • A method for recommending pictures of tourist destination
  • A method for recommending pictures of tourist destination

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present invention.

[0033] See attached figure 1 , the embodiment of the present invention discloses a method for recommending pictures of tourist destinations, the method comprising the following steps:

[0034] S1: Obtain multiple pictures with the destination as the keyword and the picture comment content corresponding to each picture on the picture website;

[0035] S2: Use the sentiment analysis tool to analyze the picture comment content corresponding to ea...

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Abstract

A method for recommending pictures of tourist destination is provided. By establishing the corpus of emotional topic features of map readers and the corpus of thematic features of map publishers, andcalculating the correspondence degree between the theme conveyed by each picture and the emotion predicted by the picture reader through the correlation model of the two pictures, a set of quantifiable big data recommendation frame is provided for the selection of destination picture recommendation materials, and the destination picture recommendation can be made from the viewpoint of the audienceto recommend the picture content that can move the audience most, the marketing quality can be greatly improved, and the differentiated accurate picture recommendation can be made for different tourist sources.

Description

technical field [0001] The present 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). However, DMO mainly through 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 disto...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/36G06F16/583G06F16/9535
Inventor 邓宁
Owner BEIJING INTERNATIONAL STUDIES UNIVERSITY
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