随着人力成本的增加和人们对工作环境舒适度要求的提高,以适应一些特殊环境施工的工程机械,虽然市场不大,但极具盈利能力。喧嚣的年度大戏——bauma China 2014已经落下帷幕,时间已经来到了2014年的最后一个月,2014年行业的形势已经基...随着人力成本的增加和人们对工作环境舒适度要求的提高,以适应一些特殊环境施工的工程机械,虽然市场不大,但极具盈利能力。喧嚣的年度大戏——bauma China 2014已经落下帷幕,时间已经来到了2014年的最后一个月,2014年行业的形势已经基本可以盖棺定论。虽然2014年行业并没有让大家惊喜,然而从bauma China 2014来看,行业对未来的市场依然充满自信和期待,尤其众多海外企业更是表达了对未来中国市场足够的信心。
然而,低迷的市场环境和新常态下的未来,工程机械终端购买者——用户在哪儿？经济环境的不景气,导致各地的基础设施投资大幅度减少,而前几年火爆的行业导致工程机械严重透支了近两年乃至未来若干年的市场需求。展开更多
To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in ...To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query-based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. Both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. Through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. Furthermore, ontology-based conceptual vector of user preference can be applied in personalized recommendation feedback.展开更多
文摘随着人力成本的增加和人们对工作环境舒适度要求的提高,以适应一些特殊环境施工的工程机械,虽然市场不大,但极具盈利能力。喧嚣的年度大戏——bauma China 2014已经落下帷幕,时间已经来到了2014年的最后一个月,2014年行业的形势已经基本可以盖棺定论。虽然2014年行业并没有让大家惊喜,然而从bauma China 2014来看,行业对未来的市场依然充满自信和期待,尤其众多海外企业更是表达了对未来中国市场足够的信心。
然而,低迷的市场环境和新常态下的未来,工程机械终端购买者——用户在哪儿？经济环境的不景气,导致各地的基础设施投资大幅度减少,而前几年火爆的行业导致工程机械严重透支了近两年乃至未来若干年的市场需求。
基金The Young Teachers Scientific Research Foundation(YTSRF) of Nanjing University of Science and Technology in the Year of2005-2006.
文摘To promote information service ability of digital libraries, a browsing and searching personalized recommendation framework based on the use of ontology is described, where the advantages of ontology are exploited in different parts of the retrieval cycle including query-based relevance measures, semantic user preference representation and automatic update, and personalized result ranking. Both the usage and information resources can be exploited to extract useful knowledge from the way users interact with a digital library. Through combination and mapping between the extracted knowledge and domain ontology, semantic content retrieval between queries and documents can be utilized. Furthermore, ontology-based conceptual vector of user preference can be applied in personalized recommendation feedback.
