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1st International Workshop on Adaptation and Personalization in Information Systems - APIS 2017

26 - 29 April, 2017 - Porto, Portugal

In conjunction with the 19th International Conference on Enterprise Information Systems - ICEIS 2017


Patrick Albers
ESEO - École Supérieure d'Électronique de l'Ouest
Brief Bio
Patrick Albers is associate professor in the ESAIP school of engineering, where he teaches in computer sciences. He completed a master degree in computer science at the university of Lille in France and receives his doctorate in 1997 at the university of Toulouse in cooperation with the LAAS research center. His research domain is in Artificial intelligence and in particular in knowledge representation. He has been involved in research projects in planning and scheduling, multi agents, composition of the web services and personalization. He is a member of several program committees of international conferences and workshops.
Oriana Licchelli
ESSCA, School of management
Brief Bio
Oriana Licchelli is associate professor at the ESSCA school of management, where she teaches in computer sciences and mathematics and is head of Management and Corporate Environment Department. She received her PhD in Computer Science in 2005 at the University Aldo Moro of Bari in Italy. Her main research activities are in the areas of recommender systems, web services composition, personalization and user profiling.
Isabel Seruca
Universidade Portucalense
Brief Bio
Isabel Seruca is an Associate Professor and a Researcher at the Economics, Management and Informatics Department of Portucalense University, Porto, Portugal, where she teaches subjects in the areas of Information Systems and Programming and she is the Department Coordinator of the Erasmus+ Programme. She graduated in Applied Mathematics and Computation at Portucalense University and she has an MSc and a PhD degree both in Computation from the University of Manchester Institute of Science and Technology (UMIST). She is a member of REMIT (Research on Economics, Management and Information Technologies) and ISTTOS (Centro Algoritmi), a research unit in Information Systems and Technologies institutionally hosted by University of Minho. Her research interests are in the Information Systems area, namely in topics such as Business Intelligence, Data and Web Mining, Social Business, Reuse and Patterns. She has participated in several Erasmus Intensive Programmes in the topics of Business Intelligence (Erasmus IP Miss LOGO 2008, 2009 and 2010), Web Mining (Erasmus IP WISDOM 2011, 2012 and 2013) and Data Science (Erasmus IP DasBuG 2014). She is a member of several program committees of international conferences and workshops, a co-editor of books and conference proceedings in Enterprise Information Systems and she has published several papers in refereed conferences and journals in the areas of Data Mining, Semantic Web, Social Business and Patterns.
Keynote Speaker

Marco De Gemmis
University of Bari Aldo Moro
Brief Bio
Marco de Gemmis is Assistant Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy, where he received his PhD in Computer Science in 2005. His primary research interests include content-based recommender systems, natural language processing, information retrieval, text mining, and in general personalized information filtering. He authored over 100 scientific articles published in international journals and collections, proceedings of international conferences and workshops, and book chapters. He was program committee member for international conferences, including: ACM Recommender Systems; User Modeling, Adaptation and Personalization (UMAP), and served as a reviewer for international journals, including: User Modeling and User Adapted Interaction; ACM Transactions on Internet Technologies. He was invited speaker at several universities, including: University of Roma 3, University of Basque Country San Sebastian, University of Cagliari, University of Milano-Bicocca, University of Naples Federico II. Google Scholar profile:
Content-based recommender systems (CBRSs) analyze both item descriptions (content) and user ratings to infer user profiles, which store information about preferences, exploited to suggest items similar to those users liked in the past. Semantic techniques have been developed in related fields, such as Semantic Web and Natural Language Processing, that allow a better understanding of item properties, in terms of concepts instead of keywords. CBRSs can benefit from these techniques to implement more advanced, meaningful representations of items and user profiles. The talk will provide an overview of methods for designing advanced CBRSs, based on these technologies, i.e. top-down approaches, based on the use of different open knowledge sources, as well as bottom-up approaches, based on the distributional hypothesis, which states that "words that occur in the same contexts tend to have similar meanings". The talk will show some practical applications of these approaches, including the semantic retrieval and alerting system developed in the SEO-DWARF project (“Semantic EO Data Web Alert and Retrieval Framework”, Horizon 2020, Marie Skłodowska-Curie Action: Research and Innovation Staff Exchange).


During the last two decades, an intensive research activity has been developed around the two strategic paradigms of Adaptation and Personalization in numerous application domains such as education, e-commerce, health, tourism, advertising and social media.
Advanced information systems are typically designed to satisfy the average user. But a system may provide its services in different ways (e.g., with respect to presentation, filtering, ordering of the results). The aim of adaptation and personalization is to customize as much as possible a service or an application in order to increase its relevance. This customization should be done with as little human intervention as possible.
Adaptation is more general than personalization. On the one hand, adaptation relies on the notion of context (including static user profiles, additional inputs e.g. measures, sensors), and on the other hand, personalization is based on user-specific information (i.e. dynamic user profiles). The main goal of personalization is satisfying the needs and preferences of a specific user (or a specific group of users) of a particular information system.
Generally, an adapted and personalized system relies on a measurement infrastructure, which enables it to retrieve information in order to have a real representation of the user’s environment. With this information, the system should make decisions for personalizing the services. The concepts of user profiles, preferences, and more generally context are the centrepieces to achieve adaptation and personalization.
This workshop aims at fostering the further development of adaptation and personalization techniques and platforms, from measurement infrastructures to decision support within different application domains.

Topics of Interest
Topics of interest include, but are not limited to:

  • Motivation, benefits, and issues of adaptation and/or personalization
  • User profiles for personalized information access
  • Semantic web metadata, ontologies and reasoning for personalized information access
  • Context-aware information access and delivery
  • Models@Runtime
  • Aspect oriented programing and adaptation
  • Discovery and reuse of context information
  • Privacy, security and trust of context information
  • Data mining methods/algorithms for adaptation and personalization
  • Minimizing the filter bubble effect in personalized search
  • Adapting interfaces
  • Content similarity detection

Application domains for APIS
Application domains of interest include, but are not limited to:

  • Smart environments
  • Services, SOA
  • Healthcare
  • Cognitive assistance
  • E-commerce
  • Recommender systems
  • E-learning
  • Social media and targeted advertisement
  • Mobile and wearable systems
  • Tourism and cultural events
  • Entertainment and games
  • E-government


Paper Submission: February 27, 2017 (expired)
Authors Notification: March 1, 2017 (expired)
Camera Ready and Registration: March 13, 2017 (expired)


Cristina Conati, University of British Columbia, Canada
Fabio Gasparetti, Roma Tre University, Italy
Cristina Gena, Università di Torino, Italy
Chris Phethean, University of Southampton, United Kingdom
Philippe Roose, LIUPPA/IUT de Bayonne/UPPA, France
Olga C. Santos, aDeNu Research Group (UNED), Spain
Giovanni Semeraro, University of Bari Aldo Moro, Italy
Andrea Tagarelli, University of Calabria, Italy


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the workshop program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).


ICEIS Workshops - APIS 2017