Titlebook: E-Commerce and Web Technologies; 15th International C Martin Hepp,Yigal Hoffner Conference proceedings 2014 Springer International Publishi

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書目名稱E-Commerce and Web Technologies影響因子(影響力)




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書目名稱E-Commerce and Web Technologies網(wǎng)絡(luò)公開度




書目名稱E-Commerce and Web Technologies網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱E-Commerce and Web Technologies被引頻次




書目名稱E-Commerce and Web Technologies被引頻次學(xué)科排名




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RENAL

Fantasy

Information Need in Cloud Service Procurement – An Exploratory Case Studyarkets and platforms for exchanging cloud services, a common understanding of the service to be exchanged is required between the organizations providing and the organizations in need of the service. Currently, only a few rather specific criteria catalogues are available to address this need, only f

草率男

Exploiting Freebase to Obtain GoodRelations-Based Product Ontologiesle for many industries and developing them from scratch is costly. We present a method of reusing parts of the Freebase schema by transforming it into a GoodRelations-based product ontology, using our Pattern-based Ontology Transformation Framework. We demonstrate our method on a part of the Freebas

承認(rèn)

catagen

catagen

Automotive Ranges as eCommerce Data of the intricate constraints between them. The lack of a well-established way to publish such data on the web impedes the development of the e-business-related benefits that we could expect. Building on previous work at Renault, this paper shows that a few additions to Schema.org could foster the p

recede

Linked Data-based Conceptual Modelling for Recommendation: A FCA-Based Approachstrated as one of the best ways of obtaining this kind of content. The main question is to know how useful the LOD information is in inferring user preferences and how to obtain it. We propose a novel approach for Content Modelling and Recommendation based on Formal Concept Analysis (FCA). The appro

刻苦讀書

Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender Systemvative components, including: a ., i.e., a brief and entertaining questionnaire used by the system to learn users’ personality; an . module that acquires ratings-in-context for POIs that users are likely to have experienced; and a . based recommendation module that leverages the personality informat

Glycogen

A Linked Data Recommender System Using a Neighborhood-Based Graph Kerneld-user, Content-based (CB) RSs need both to harvest as much information as possible about such items and to effectively handle it. The boom of . datasets with their huge amount of semantically interrelated data is thus a great opportunity for boosting CB-RSs. In this paper we present a CB-RS that le