Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: bpage recommendations for hot b events can assist people to easily follow the evolution of these b events. At the same time, there are different levels of semantic uncertainty underlying the amount of bpages for a b event, such as recapitulative information and detailed information. Apparently, the grasp of the semantic uncertainty of b events could improve the satisfactoriness of bpage recommendations. Hover, traditional hit-rate-based or clustering-based bpage recommendation methods have overlooked these different levels of semantic uncertainty. ,  propose a framework to identify the different underlying levels of semantic uncertainty in terms of b events, and then utilize these for bpage recommendations. Our idea is to consider a b event as a system composed of different keywords, and the uncertainty of this keyword system is related to the uncertainty of the particular b event. Based on keyword association linked network b event representation and Shannon entropy,  identify the different levels of semantic uncertainty, and construct a semantic pyramid (SP) to express the uncertainty hierarchy of a b event. Finally, an SP-based bpage recommendation system is developed. Experiments show that the proposed algorithm can significantly capture the different levels of the semantic uncertainties of b events and it can be applied to bpage recommendations.
['Junyu Xuan', 'Xiangfeng Luo', 'Guangquan Zhang', 'Jie Lu', 'Zheng Xu']
I am writing a research paper on a idea Uncertainty Analysis for the Keyword System of Web Events
[{"from": "human", "value": "I am writing a research paper on a idea Uncertainty Analysis for the Keyword System of Web Events"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: bpage recommendations for hot b events can assist people to easily follow the evolution of these b events. At the same time, there are different levels of semantic uncertainty underlying the amount of bpages for a b event, such as recapitulative information and detailed information. Apparently, the grasp of the semantic uncertainty of b events could improve the satisfactoriness of bpage recommendations. Hover, traditional hit-rate-based or clustering-based bpage recommendation methods have overlooked these different levels of semantic uncertainty. ,  propose a framework to identify the different underlying levels of semantic uncertainty in terms of b events, and then utilize these for bpage recommendations. Our idea is to consider a b event as a system composed of different keywords, and the uncertainty of this keyword system is related to the uncertainty of the particular b event. Based on keyword association linked network b event representation and Shannon entropy,  identify the different levels of semantic uncertainty, and construct a semantic pyramid (SP) to express the uncertainty hierarchy of a b event. Finally, an SP-based bpage recommendation system is developed. Experiments show that the proposed algorithm can significantly capture the different levels of the semantic uncertainties of b events and it can be applied to bpage recommendations."}]