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Interior spatial semantic value calculation method based on spatial and social multimedia data

A technology for multimedia data and indoor space, applied in computing, market data collection, electronic digital data processing, etc., can solve the problems of increasing the uncertainty of research results, consuming a lot of manpower, and time cost.

Active Publication Date: 2018-12-21
ZHEJIANG UNIV
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Problems solved by technology

[0003] However, the existing academic studies on the factors affecting the value of indoor space in shopping centers are mainly based on the limited and qualitative sample data collected by researchers. The research results are not only affected by the level and efficiency of researchers, but also consume A lot of manpower and time costs; at the same time, due to the fact that such data samples are difficult to ignore in the dual dimensions of time and space, the uncertainty of various research results is greatly increased

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  • Interior spatial semantic value calculation method based on spatial and social multimedia data
  • Interior spatial semantic value calculation method based on spatial and social multimedia data
  • Interior spatial semantic value calculation method based on spatial and social multimedia data

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Embodiment Construction

[0062] The technical solution of the present invention will be further described in conjunction with specific implementation and examples.

[0063] Such as figure 1 , an embodiment of the present invention and its implementation process are as follows:

[0064] In order to evaluate and predict the value of different stores in the shopping center, the problem can be decomposed into two parts, one is the calculation of the contribution of the store location based on geographical accessibility, and the other is the calculation of the social contribution of the store based on the brand effect. Then, the calculation results of the two parts are fused to obtain the comprehensive location contribution of the store.

[0065] Step 1: In the store location contribution calculation module, input the original plan map provided by the shopping center, and output the location contribution of each store, specifically:

[0066] The store location contribution calculation module includes an ...

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Abstract

The invention discloses an indoor space semantic value calculation method based on spatial and social multimedia data. The semantic value of indoor independent subspace is divided into location and social contribution, and the semantic value of indoor independent subspace is fused. The method comprises analyzing the topological connection relation of each indoor independent subspace, constructingthe indoor space model, calculating the distance between each object, calculating the path matrix according to the user walking constraint, and calculating the location contribution degree; Accordingto the social multimedia data of indoor independent subspace, the sentence structure being analyzed and the key words being extracted to construct the emotion classification base classifier. Sentencesets are divided into key sentences and non-key sentences to classify social evaluation texts. The social contribution degree is calculated according to the classification of social evaluation texts.The indoor space value calculation method of the invention can be used for solving key problems such as value prediction of newly introduced shops, multi-dimensional shop evaluation and the like.

Description

technical field [0001] The invention relates to a space modeling and data processing method combining the fields of geography and machine learning, in particular to a method for calculating indoor space semantic value based on space and social multimedia data. Background technique [0002] Indoor space is composed of many indoor independent subspaces, and provides people with rich goods or services and an elegant environment. Indoor space managers are increasingly emphasizing the important contribution of high semantic value indoor independent subspaces to the success of indoor space operations. Therefore, how to make full use of existing data to model and quantitatively evaluate the semantic value of indoor spaces, and how to evaluate new investment plans The introduction of indoor independent subspaces for semantic value prediction is the current focus and hot spot in academia and industry. [0003] However, the existing academic studies on the factors affecting the value...

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Application Information

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IPC IPC(8): G06F17/30G06Q30/02
CPCG06Q30/0201
Inventor 陈珂寿黎但喻影陈刚江大伟伍赛胡天磊
Owner ZHEJIANG UNIV
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