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EC-Web 2016: International Conference on Electronic Commerce and Web Technologies

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EC-Web
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투고 마감일:
2016-04-22 Extended
통보일:
2016-05-20
개최일:
2016-09-05
개최지:
Porto, Portugal
개최 횟수:
17
조회: 28257   팔로우: 0   참가: 0

회반 지수 (CP-I)

47.6 / 100
전체 5,693개 중 2,154위 · 상위 38%
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
78
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 17 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-10-05

논문 모집

EC-Web 2016 (International Conference on Electronic Commerce and Web Technologies) is an academic conference held in Porto, Portugal on 2016-09-05. The paper submission deadline is 2016-04-22 (extended). Acceptance notifications are sent on 2016-05-20.

Background, Aims and Scope EC-Web is an international scientific conference series devoted to technology-related aspects of e-Commerce and e-Business. The 17th edition of the conference, EC-Web 2016, will take place in Porto, Portugal in September 2016 and will serve as a forum to bring together researchers and practitioners to present and discuss recent advances in their fields. RESEARCH TRACK Search, Comparison and Recommender Systems Preference Representation and reasoning Semantic-based Systems, Ontologies and Linked Data Agent-based Systems, Negotiation and Auctions Social Web and Social Media in E-Commerce Computational Advertising E-commerce Infrastructures and Cloud-based Services Service Modelling and Engineering Business Processes, Web Services and Service-Oriented Architectures E-Business Architectures Emerging Business Models, Software as a Service, Mobile Services Security, Privacy and Trust Case Studies Papers for the research track should have a length of no more than 12 pages using the Springer LNBIP style. INDUSTRIAL TRACK In order to establish better connections to actual applications of web technologies in E-Commerce, EC-WEB 2016 features an Industrial Track. We are looking for papers describing products or real-world applications of advanced web technologies for E-Commerce. Papers from companies are especially welcome. Authors of papers in the industrial track will have the opportunity to prodvide a demonstration of their technology in the main session of the conference. Papers for the industrial track should have a length of no more than 6 pages using the Springer LNBIP style. Being of a more practical nature, the requirements for evaluation and literature work are much lower for this track. Papers will be evaluated on the innovative nature of the technology/application presented and the real-world impact. Paper Submission, Selection and Publication Authors are invited to submit original and unpublished research papers at http://confdriver.ifs.tuwien.ac.at/dexa2016 Papers for the research track are limited to 12 pages; papers for the industrial track are limited to 6 pages. In both cases, manuscripts must use the Springer LNBIP style sheet: http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0 The selection of papers will be based on a peer-review process by selected international experts. Each paper will be peer-reviewed by at least 3 reviewers. The proceedings will be published in the Springer Lecture Notes in Business Information Processing (LNBIP) series. Selected papers will be invited to submit extended versions to the Journal on Data Semantics for a fast track reviewing process.
최종 수정: Dou Sun ()

관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Electronic Commerce Research4.7Springer1389-5753
Electronic Commerce Research and Applications6.3Elsevier1567-4223
Semantic Web3.0IOS Press1570-0844
CWeb Intelligence0.200IOS Press2405-6456
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312

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