Current recommender systems cannot fulfill the requirement of large scale online advertising in the dispersed atmosphere. The semantic ontology systems and electric suggestion systems together can be used to achieve the efficient purchase and blend of the expertise in goods, consumer specifications and suggestion functionality, and can additionally obtain the synergized cooperation of matters of the recommender systems.
This coursework studies on the fundamental principle and strategy of smart electric business suggestion in line with the online consuming conduct expertise which we aspire to supply the essential assistance in principle and strategy for building extremely reactive and efficient recommender devices for large scale electric business in dispersed conditions.
This essay present expertise administration and ontology into the learning of online consuming conduct, and built a now platform Expertise Ontology based Online Consuming Conduct. The investigation on the principle and strategy in line with the online consuming conduct expertise is subdivided into four ranges which are linked to one another tightly.
The foremost is the online consuming conduct expertise exploration depending on WEB.
The second is the manifestation of expertise for online consuming conduct expertise.
The third is the principle and approach to building for online consuming conduct.
And the final is the intelligent recommender of online consuming support depending on self demand. This coursework analyzed the exploration math of the online consuming conduct expertise, created principle and strategy of ontology development of the online consuming conduct expertise, explored intelligent recommender devices depending on self demand of online consuming support based.
The primary content of the coursework are below: The comparative hypotheses were presented which include the fundamental principle of the online consuming, built the distinction between online consuming and conventional consuming, analyzed the impacted aspects of online consuming conduct, talked about the designs of online consuming depending on electric business.
We analyzed the principle and strategy of online consuming conduct expertise exploration in this coursework, talked over the fundamental idea of online consuming expertise, and researched the exploration math depending on online consuming expertise pool. We analyzed the manifestation of online consuming conduct expertise, explored the manifestation way of online consuming conduct expertise, talked over the ontology type of online consuming, the ontology development of online consuming, the expertise manifestation depending on domain ontology of online consuming, analyzed the primary formation of electric business, idea removed from electric business was talked about, eventually, this coursework built a ontology type of online consuming conduct expertise.
We analyzed the ontology mapping of online consuming conduct expertise, explored the techniques of ontology mapping of online consuming conduct expertise, the procedure of ontology mapping of online consuming conduct expertise, the rules of ontology mapping of online consuming conduct expertise, and supplied the bottom for the implementing of ontology of online consuming conduct expertise.
We also analyzed the expertise service, online consuming requirement and self service depending on ontology, self service principle of online consuming, expertise attainments and manifestation of online consuming, thinking system and suggest outcomes of self service were talked about.
Eventually, self adapted selecting of self-service techniques of online consuming was taken part.