標題: Titlebook: E-Commerce and Web Technologies; 15th International C Martin Hepp,Yigal Hoffner Conference proceedings 2014 Springer International Publishi [打印本頁] 作者: vitamin-D 時間: 2025-3-21 18:36
書目名稱E-Commerce and Web Technologies影響因子(影響力)
書目名稱E-Commerce and Web Technologies影響因子(影響力)學科排名
書目名稱E-Commerce and Web Technologies網(wǎng)絡公開度
書目名稱E-Commerce and Web Technologies網(wǎng)絡公開度學科排名
書目名稱E-Commerce and Web Technologies被引頻次
書目名稱E-Commerce and Web Technologies被引頻次學科排名
書目名稱E-Commerce and Web Technologies年度引用
書目名稱E-Commerce and Web Technologies年度引用學科排名
書目名稱E-Commerce and Web Technologies讀者反饋
書目名稱E-Commerce and Web Technologies讀者反饋學科排名
作者: RENAL 時間: 2025-3-21 22:29 作者: Fantasy 時間: 2025-3-22 04:16
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作者: 草率男 時間: 2025-3-22 06:49
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作者: 承認 時間: 2025-3-22 10:45 作者: catagen 時間: 2025-3-22 16:32 作者: catagen 時間: 2025-3-22 20:09
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作者: recede 時間: 2025-3-23 00:20
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作者: 刻苦讀書 時間: 2025-3-23 03:16
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作者: Glycogen 時間: 2025-3-23 06:51
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作者: 無能力之人 時間: 2025-3-23 15:08 作者: 溫順 時間: 2025-3-23 20:33 作者: NOCT 時間: 2025-3-23 22:54 作者: 疼死我了 時間: 2025-3-24 03:55
Using Dependency Bigrams and Discourse Connectives for Predicting the Helpfulness of Online Reviewse. In this study we evaluate the performance of two text-based features that have not been used in that context, namely (a) a variation of the bigram feature, utilizing grammatical dependencies and (b) discourse connectives. By treating helpfulness prediction as a binary classification task we show 作者: 古文字學 時間: 2025-3-24 06:31
Customer Load Strategies for Demand Response in Bilateral Contracting of Electricityaded in organized markets or by negotiating forward bilateral contracts. Demand response (DR) refers to participation by customers in electricity markets, seeing and responding to prices as they change over time. Customers may adopt several basic load response strategies, notably foregoing electrici作者: Callus 時間: 2025-3-24 12:35 作者: Enthralling 時間: 2025-3-24 17:33
How to Create an E-Advertising Adaptation Strategy: The AEADS Approachithout place or time limitation. Personalization is an ingenious way to potentially increase the effectiveness and efficiency of web-based advertisements. In this paper, a model for creating personalisation specification for businesses (.), based on ., is introduced. The paper also implements a vers作者: FLIP 時間: 2025-3-24 19:46
Modelling User Behaviour in Online Q&A Communities for Customer Supportrch has been carried out in order to study the user behaviour on Q&A sites. However, many research questions remain unanswered, as the underlying dynamics of replying in online communication platforms are not yet fully understood. One reason for this is that the interaction patterns in typical datas作者: 貴族 時間: 2025-3-25 01:11
E-Commerce and Web Technologies978-3-319-10491-1Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: BRAVE 時間: 2025-3-25 03:34 作者: 轎車 時間: 2025-3-25 10:20 作者: neutral-posture 時間: 2025-3-25 12:10
https://doi.org/10.1007/978-1-349-22388-6he fact that it becomes increasingly harder to find relevant information in the sheer amount of information available, basically, the proverbial needle in a haystack. We have previously proposed a solution to this problem in the form of the WiPo framework that does not answer queries solely based on作者: 恭維 時間: 2025-3-25 17:59
Double Ionization in Strong Laser Fields,cations through Web and then locate the position on the map. Existing geographic information systems based on crowd-sourcing are insufficient and have a slow update progress. However, it can actually be complemented by automatically extracting addresses of location entities and associated informatio作者: 思考 時間: 2025-3-25 21:41
Teacher Feedback in L2 Writing,arkets 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作者: 特別容易碎 時間: 2025-3-26 03:57 作者: 分期付款 時間: 2025-3-26 05:46
https://doi.org/10.1007/978-1-4302-0321-6 that need to be integrated in order to enable internal and external traceability. Further, provenance of artifacts and agents involved in the supply chain operations is now a key traceability requirement. In this paper we propose a Semantic web/Linked data powered framework for the event based repr作者: 解凍 時間: 2025-3-26 09:19 作者: 歸功于 時間: 2025-3-26 13:13 作者: Senescent 時間: 2025-3-26 18:37 作者: 松馳 時間: 2025-3-26 21:40
https://doi.org/10.1007/978-981-13-6776-2vative 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作者: Cuisine 時間: 2025-3-27 01:13
d-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作者: 消滅 時間: 2025-3-27 05:34 作者: 聽寫 時間: 2025-3-27 09:55
https://doi.org/10.1007/978-3-030-18206-9ction accuracy. However, not all of the ratings bring the same amount of information about the user’s tastes. Active Learning aims at identifying rating data that better reflects users’ preferences. Active learning . are used to selectively choose the items to present to the user in order to acquire作者: archenemy 時間: 2025-3-27 17:35
Data Banks for Climatological Purposes address situations of user preference scarcity. Through empirical experiments on a multi-domain dataset obtained from Facebook, we show that the proposed personality-aware collaborative filtering methods effectively –and consistently in the studied domains– increase recommendation performance, in t作者: RACE 時間: 2025-3-27 21:42 作者: Conjuction 時間: 2025-3-28 00:31
Rong Liu,Hongchen Ji,Ruiquan Zhoue. In this study we evaluate the performance of two text-based features that have not been used in that context, namely (a) a variation of the bigram feature, utilizing grammatical dependencies and (b) discourse connectives. By treating helpfulness prediction as a binary classification task we show 作者: 玩笑 時間: 2025-3-28 02:08 作者: MAL 時間: 2025-3-28 06:22
Cerebrospinal Fluid (CSF) Scintigraphy,is no longer productive for researchers. We pose a theoretical argument for resolving the confusion of terminology and definitions of digital services, by inductively developing a taxonomy of digital service types, using techniques such as metaphor analysis that are relevant to multiple disciplines.作者: 極少 時間: 2025-3-28 13:49 作者: Integrate 時間: 2025-3-28 15:21
GEF Energy Efficiency Investment Portfolio,rch has been carried out in order to study the user behaviour on Q&A sites. However, many research questions remain unanswered, as the underlying dynamics of replying in online communication platforms are not yet fully understood. One reason for this is that the interaction patterns in typical datas作者: N防腐劑 時間: 2025-3-28 19:26 作者: 思想上升 時間: 2025-3-29 00:06 作者: 曲解 時間: 2025-3-29 06:51
How to Create an E-Advertising Adaptation Strategy: The AEADS Approachithout place or time limitation. Personalization is an ingenious way to potentially increase the effectiveness and efficiency of web-based advertisements. In this paper, a model for creating personalisation specification for businesses (.), based on ., is introduced. The paper also implements a version of this model and presents its evaluation.作者: Serenity 時間: 2025-3-29 10:42
https://doi.org/10.1007/978-3-319-10491-1Collaborative Filtering; Digital Services; E-Business; E-Commerce; Knowledge Management; Linked Open Data作者: 后來 時間: 2025-3-29 12:59 作者: LAIR 時間: 2025-3-29 19:09
https://doi.org/10.1007/978-1-349-22388-6ical implementation thereof: An information platform that delivers high quality information to users, achieved by means of curation. Additionally, we elaborate on use cases, namely movie tourism and search and rescue as well as present some early evaluation results gathered in an interview study.作者: hazard 時間: 2025-3-29 21:46 作者: Ophthalmologist 時間: 2025-3-30 00:24
https://doi.org/10.1007/978-1-4302-0321-6d traceability in supply chains involving transformation of products. For integrating provenance with traceability, we propose a mapping from EEM to PROV-O. We exemplify our approach on an abstraction of the production processes that are part of the wine supply chain.作者: 預測 時間: 2025-3-30 07:21
Grief Reactions in the Elderly,n electricity markets with demand response. From the perspective of end-use customers, it investigates how foregoing and shifting affect the energy and monetary outcomes of consumers applying DR during bilateral contracting.作者: 實現(xiàn) 時間: 2025-3-30 10:17 作者: AWL 時間: 2025-3-30 15:54 作者: Orgasm 時間: 2025-3-30 19:57 作者: Microgram 時間: 2025-3-30 20:58 作者: Original 時間: 2025-3-31 04:03 作者: hangdog 時間: 2025-3-31 05:09 作者: 表示向下 時間: 2025-3-31 12:15 作者: cushion 時間: 2025-3-31 15:32 作者: 是他笨 時間: 2025-3-31 19:04 作者: 啪心兒跳動 時間: 2025-4-1 01:14
1865-1348 e-business; search, matchmaking, recommender and comparison systems; economics, management, and law; and social interaction in e-business..978-3-319-10490-4978-3-319-10491-1Series ISSN 1865-1348 Series E-ISSN 1865-1356 作者: 骨 時間: 2025-4-1 04:51 作者: 不真 時間: 2025-4-1 06:03
https://doi.org/10.1007/978-94-011-6967-7 a GoodRelations-based product ontology, using our Pattern-based Ontology Transformation Framework. We demonstrate our method on a part of the Freebase Medicine schema, which we transformed into a product ontology covering prescription drugs.作者: 連接 時間: 2025-4-1 13:01 作者: Pulmonary-Veins 時間: 2025-4-1 16:12 作者: 主講人 時間: 2025-4-1 21:20 作者: 不理會 時間: 2025-4-1 23:31
Automotive Ranges as eCommerce Datass-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 publishing of data about complex products such as new cars.作者: 預知 時間: 2025-4-2 04:45
