E-Commerce and Web Technologies: 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers PDF
Preview E-Commerce and Web Technologies: 17th International Conference, EC-Web 2016, Porto, Portugal, September 5-8, 2016, Revised Selected Papers
Derek Bridge Heiner Stuckenschmidt (Eds.) E-Commerce 8 7 2 P and Web Technologies I B N L 17th International Conference, EC-Web 2016 Porto, Portugal, September 5–8, 2016 Revised Selected Papers 123 Lecture Notes in Business Information Processing 278 Series Editors Wil M.P. van der Aalst Eindhoven Technical University, Eindhoven, The Netherlands John Mylopoulos University of Trento, Trento, Italy Michael Rosemann Queensland University of Technology, Brisbane, QLD, Australia Michael J. Shaw University of Illinois, Urbana-Champaign, IL, USA Clemens Szyperski Microsoft Research, Redmond, WA, USA More information about this series at http://www.springer.com/series/7911 Derek Bridge Heiner Stuckenschmidt (Eds.) (cid:129) E-Commerce and Web Technologies 17th International Conference, EC-Web 2016 – Porto, Portugal, September 5 8, 2016 Revised Selected Papers 123 Editors Derek Bridge Heiner Stuckenschmidt TheInsight Centrefor Data Analytics Data andWebScienceGroup University CollegeCork University of Mannheim Cork Mannheim Ireland Germany ISSN 1865-1348 ISSN 1865-1356 (electronic) Lecture Notesin Business Information Processing ISBN 978-3-319-53675-0 ISBN978-3-319-53676-7 (eBook) DOI 10.1007/978-3-319-53676-7 LibraryofCongressControlNumber:2017931544 ©SpringerInternationalPublishingAG2017 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthe material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynow knownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. Printedonacid-freepaper ThisSpringerimprintispublishedbySpringerNature TheregisteredcompanyisSpringerInternationalPublishingAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface 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,tookplaceinPorto,Portugal,inSeptember2016andservedasaforumtobring together researchers and practitioners to present and discuss recent advances in their fields. The conference series historically covers the following areas: – 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 This year, the conference program focused on five main topic: recommender sys- tems, product data on the Web, business processes and Web services and cloud computing, and data analysis. The works presented at the conference reflect recent trendsindifferentsubfieldsrelatedtoe-commerceandWebtechnologies,whichcanbe summarized as follows. – IntheWebera,recommendersystemsplayafundamentalroleinhelpingusersdeal withissuesrelatedtoinformationoverload.Recenttrendshaveemphasizedtherole of the user in these systems, with ways of giving users more control over the recommendations they receive and helping them to visualize the output of the recommender system. – Productdataisoneofthemostobviousmanifestationsofdoinge-commerceonthe Web. Techniques for extracting product data from website content and turning the captured data into canonical representations will extend the reach of e-commerce technologies. – Businessprocessesembodyhugeamountsofvaluableexpertise,whichneedstobe captured and stored. There is then a need to support search through repositories of business processes so that the expertise can be reused. In a similar vein, there is a growing volume of Web and cloud services that can be composed into larger services. This requires their retrieval, with regard to their inter-operability and quality. VI Preface – Finally, user activity on the Web produces growing quantities of data such as clickstreams and purchase histories. We need techniques for efficiently and accu- rately mining new knowledge from this data for applications such as recommen- dation and fraud detection. Out of the contributions of the conference, we selected 12 papers to be included in the proceedings. The volume also includes one invited paper from the conference’s keynote speaker. The accepted papers are organized in three themes: The section on “Recommender Systems” in the proceedings contains four papers. Jorgeetal.provideasurveyofrecommendersystemswithafocusonimplicitfeedback andonlinestream-based approaches.Their paper includes a discussionof methods for forgettingearlierdatainthestreamandforevaluatingrecommendersinthissetting.This paperisaninvitedpaperandisbasedonthetalkgivenattheconferencebyourkeynote speaker,AlípioM.Jorge.WearegratefultoProf.Jorgefortakingthetimetocontribute to the conference in this way. Among the other papers in the recommender system section,Jannachetal.reviewdifferentwaysinwhichrecommendersystemscangivethe user more control over the recommendation process, and present a user survey con- cerningthecontrolmechanismsavailableinAmazon.com.Deldjooetal.extractfeatures from movie frames and combine these using canonical correlation analysis with more conventionaltextualdataaboutthemovies,tobuildahigh-performinghybrid.Finally, Richthammer and Pernul describe their use of treemaps for presenting a set of recom- mendations: The two-dimensional presentation can convey more information visually than cana conventional recommmendation list. The next sections is concerned with “Data Management and Data Analysis” on the Web. Horch et al. manually analyze 50 different e-commerce websites, using descriptive statistics to give insight into the way that these shops structure and dis- tribute product data across their sites, for example, that there may be up to around 15 different kinds of prices. Petrovski et al. describe a corpus of product data they pro- duced that can act as a gold standard in tasks such as product matching: The corpus containsaround500productsand,for150ofthem,1,500positiveand73,500negative correspondencesbetweentheproducts.deAmorimetal.offeranewfastalgorithmfor mining frequent itemsets from clickstreams. The algorithm is evaluated in a news articlerecommendersystem.Jiaoetal.alsomineclickstreamsalongwithadd-to-basket and purchase events, to investigate the value of search re-ranking strategies. Lastly, LimaandPereirainvestigatetheinterplaybetweenresamplingandfeatureselectionin fraud detection tasks. The papers in the “Business Processes, Web Services, and Cloud Computing” section of the proceedings investigate the retrieval of business processes and the composition of Web services. Ordoñez et al. present a new way of indexing business processes, inspired by n-grams and capturing both the linguistic and structural aspects of the business process. In the case of cloud services, Ferrarons et al. define inter- operability metrics such as quantitative coverage metrics and qualitative quality met- rics. da Silva et al. present an approach to service composition that uses evolutionary computation techniques that work on services represented as directed acyclic graphs. Preface VII Finally, Kasmi et al. survey work that uses recommender systems techniques for Web services composition. The survey covers dimensions such as context,social networks, time, and interactivity, among others. We are grateful to all authors, especially the ones who presented the papers at the conference, and to the DEXA conference organizers and Springer. January 2017 Derek Bridge Heiner Stuckenschmidt Organization EC-Web 2016 was organized in the context of the 27th International Conference on Database and Expert Systems Applications (DEXA 2016) and took place during September 5–6, 2016, in Porto. Conference Organization Co-chairs Derek Bridge Insight Centre for Data Analytics, University College Cork, Ireland Heiner Stuckenschmidt University of Mannheim, Germany Program Committee Burke, Robin DePaul University, USA Chen, Li Hong Kong Baptist University, SAR China Cuzzocrea, Alfredo University of Trieste, Italy De Luca, Ernesto William FH Potsdam, Germany Felfernig, Alexander Graz University of Technology, Austria García, José María University of Seville, Spain Jannach, Dietmar TU Dortmund, Germany Jorge, Alípio Mário University of Porto, Portugal Meusel, Robert University of Mannheim, Germany Monica, Dragoicea Politehnica University of Bucharest, Romania O’Mahony, Michael University College Dublin, Ireland Parra, Denis Pontificia Universidad Catolica de Chile, Chile Paulheim, Heiko University of Mannheim, Germany Quijano Sanchez, Lara Universidad Complutense de Madrid, Spain Vidal, Maria Esther Universidad Simon Bolivar, Venezuela Zanker, Markus Free University of Bozen-Bolzano, Italy Contents Recommender Systems Scalable Online Top-N Recommender Systems. . . . . . . . . . . . . . . . . . . . . . 3 Alípio M. Jorge, João Vinagre, Marcos Domingues, João Gama, Carlos Soares, Pawel Matuszyk, and Myra Spiliopoulou User Control in Recommender Systems: Overview and Interaction Challenges. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Dietmar Jannach, Sidra Naveed, and Michael Jugovac How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 Yashar Deldjoo, Mehdi Elahi, Paolo Cremonesi, FarshadBakhshandeganMoghaddam,andAndreaLuigiEdoardoCaielli Explorative Analysis of Recommendations Through Interactive Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 Christian Richthammer and Günther Pernul Data Management and Data Analysis An E-Shop Analysis with a Focus on Product Data Extraction . . . . . . . . . . . 61 Andrea Horch, Andreas Wohlfrom, and Anette Weisbecker The WDC Gold Standards for Product Feature Extraction and Product Matching. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73 Petar Petrovski, Anna Primpeli, Robert Meusel, and Christian Bizer MFI-TransSW+: Efficiently Mining Frequent Itemsets in Clickstreams. . . . . . 87 FranklinA.deAmorim,BernardoPereiraNunes,Giseli RabelloLopes, and Marco A. Casanova Reranking Strategies Based on Fine-Grained Business User Events Benchmarked on a Large E-commerce Data Set . . . . . . . . . . . . . . . . . . . . . 100 Yang Jiao, Bruno Goutorbe, Matthieu Cornec, Jeremie Jakubowicz, Christelle Grauer, Sebastien Romano, and Maxime Danini Feature Selection Approaches to Fraud Detection in e-Payment Systems . . . . 111 Rafael Franca Lima and Adriano C.M. Pereira
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