Abstract
Purpose The purpose of this paper is to study the architecture of holographic personalized portal, user modeling, commodity modeling and intelligent interaction. Design/methodology/approach In this paper, the authors propose crowd-science industrial ecological system based on holographic personalized portal and its interaction. The holographic personality portal is based on holographic enterprises, commodities and consumers, and the personalized portal consists of accurate ontology, reliable supply, intelligent demand and smart cyberspace. Findings The personalized portal can realize the information acquisition, characteristic analysis and holographic presentation. Then, the intelligent interaction, e.g. demand decomposition, personalized search, personalized presentation and demand prediction, will be implemented within the personalized portal. Originality/value The authors believe that their work on intelligent interaction based on holographic personalized portal, which has been first proposed in this paper, is innovation focusing on the interaction between intelligence and convenience.
Highlights
With the continuously growing internet technology, e-commerce has been one of the most important channels of transaction
To comply with the trend of network society, this paper proposes a crowd-science industrial ecological system based on the holographic portal and its interaction, takes the block-chain data storage as safeguard, which gathers the information involved in the business process
The crowd-science industrial-ecological system based on the holographic personality portal and its interaction, takes the block-chain data storage as safeguard, which gathers the information involved in the business process, e.g. enterprise resource planning (ERP) information, internet of things (IOT) information, pricing information, vehicle information and external data
Summary
With the continuously growing internet technology, e-commerce has been one of the most important channels of transaction. User information forming the personalized portal can be obtained by various ways, and the physical, knowledge and remind information can be presented thoroughly after analyzing the user’s personalized information and behavior, e.g. repeated search, repeated purchase, demand correlation, and commodity attributes co-occurrence. Physical or digital A-Z 1-5 1-5 Size and packing Whether need sales promotion Historical and average price, trend Time, location, price, volume Products and environment display Products and environment display Subject and object credit Based on the semantic analysis Detail information More information Typical application Cover range, supply capacity Substitutability: 1-0 Location, volume, price Average and peak capacity Region, quality, capacity, price Detail information Gender, age, job, preference Correlation: 1-0 Holographic display Application scenarios Space, temperature, humidity from the phenomenon that one commodity’s price remains unchanged, while its quality and sales volume increase, or commodity’s quality remains unchanged while its price decreases and sales volume increases. The predicted demand will be inferred or recognized based on the ontology and IOT
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