Proceedings	
  of	
  the	
  Late-­‐breaking	
  Results	
  at	
  the	
  23rd	
  Conference	
  on	
  
         User	
  Modelling,	
  Adaptation	
  and	
  Personalisation	
  (UMAP	
  2015)	
  
                           29th	
  June	
  -­‐	
  3rd	
  July,	
  2015,	
  Dublin,	
  Ireland	
  
                                                                 	
  

                                Alexandra	
  I.	
  Cristea*	
  and	
  Nava	
  Tintarev**	
  
                                                            	
  
                                       *University	
  of	
  Warwick,	
  UK	
  
                                        a.i.cristea@warwick.ac.uk	
  

                                        **	
  University	
  of	
  Aberdeen,	
  Scotland	
  
                                                 n.tintarev@abdn.ac.uk	
  

                                                                 	
  

	
                                    	
  
Preface	
  
	
  

The	
  23rd	
  International	
  Conference	
  on	
  User	
  Modelling,	
  Adaptation	
  and	
  Personalization	
  (UMAP	
  2015)	
  
was	
  held	
  in	
  Dublin,	
  Ireland,	
  between	
  29th	
  of	
  June	
  and	
  the	
  3rd	
  of	
  July,	
  2015.	
  	
  Similarly	
  to	
  poster	
  and	
  
demonstration	
  papers,	
  late-­‐breaking	
  results	
  contain	
  original	
  and	
  unpublished	
  accounts	
  of	
  innovative	
  
research	
  ideas,	
  preliminary	
  results,	
  industry	
  showcases,	
  and	
  system	
  prototypes,	
  addressing	
  both	
  the	
  
theory	
  and	
  practice	
  of	
  User	
  Modelling,	
  Adaptation	
  and	
  Personalization.	
  In	
  addition,	
  papers	
  
introducing	
  recently	
  started	
  research	
  projects	
  or	
  summarizing	
  project	
  results	
  have	
  also	
  been	
  
welcomed.	
  	
  

A	
  total	
  of	
  12	
  submissions	
  were	
  received.	
  Similarly	
  to	
  the	
  main	
  tracks	
  of	
  the	
  conference,	
  	
  each	
  of	
  
them	
  was	
  reviewed	
  by	
  at	
  least	
  three	
  members	
  of	
  the	
  Program	
  Committee.	
  	
  Submissions	
  have	
  been	
  
assessed	
  based	
  on	
  their	
  originality	
  and	
  novelty,	
  potential	
  contribution	
  to	
  the	
  research	
  field,	
  potential	
  
impact	
  in	
  particular	
  use	
  cases,	
  and	
  the	
  usefulness	
  of	
  presented	
  experiences,	
  as	
  well	
  as	
  their	
  overall	
  
readability.	
  	
  

For	
  these	
  proceedings,	
  6	
  papers	
  were	
  accepted	
  based	
  on	
  this	
  process,	
  for	
  presentation	
  at	
  the	
  UMAP	
  
2016	
  conference,	
  on	
  the	
  1st	
  of	
  July	
  2015.	
  They	
  range	
  in	
  topics	
  from:	
  

       •    basic	
  adaptation	
  technique	
  exploration,	
  such	
  as	
  paper	
  "A	
  Methodology	
  for	
  Discovering	
  how	
  
            to	
  Adaptively	
  Personalize	
  to	
  Users	
  using	
  Experimental	
  Comparisons"	
  by	
  Joseph	
  Jay	
  Williams	
  
            and	
  Neil	
  Heffernan,	
  developing	
  theoretical	
  models	
  for	
  systematic	
  explorations	
  of	
  versions	
  of	
  
            a	
  particular	
  artefact	
  in	
  experiments	
  with	
  people,	
  to	
  find	
  out	
  which	
  best	
  matches	
  a	
  particular	
  
            type	
  of	
  person	
  ;	
  
       •    semantic	
  web-­‐inspired	
  research,	
  such	
  as	
  the	
  paper	
  "Using	
  Basic	
  Level	
  Concepts	
  in	
  a	
  Linked	
  
            Data	
  Graph	
  to	
  Detect	
  User's	
  Domain	
  Familiarity"	
  by	
  Marwan	
  Al-­‐Tawil,	
  Vania	
  Dimitrova	
  and	
  
            Dhavalkumar	
  Thakker,	
  proposing	
  personalized	
  nudges	
  to	
  help	
  users	
  explore	
  linked	
  data	
  
            graphs,	
  to	
  identify	
  user's	
  familiarity	
  in	
  a	
  domain,	
  using	
  basic	
  level	
  concepts	
  in	
  a	
  linked	
  data	
  
            graph	
  ,which,	
  given	
  the	
  growth	
  of	
  semantic	
  web	
  data,	
  may	
  have	
  long	
  term	
  implications	
  for	
  
            domains	
  out	
  with	
  the	
  linked-­‐data	
  world;	
  
       •    social	
  web-­‐inspired	
  research,	
  such	
  as	
  the	
  paper	
  "Detecting	
  Filter	
  Bubbles	
  in	
  Ongoing	
  News	
  
            Stories"	
  by	
  Giang	
  Binh	
  Tran	
  and	
  Eelco	
  Herder,	
  describing	
  preliminary	
  work	
  on	
  timeline	
  
            summarisation	
  and	
  prediction	
  in	
  the	
  news	
  area,	
  allowing	
  for	
  identification	
  of	
  differences	
  
            between	
  timelines	
  from	
  different	
  sources	
  about	
  the	
  same	
  story;	
  
       •    less-­‐explored	
  user	
  modelling	
  features,	
  such	
  as	
  emotions,	
  in	
  the	
  paper	
  "Personality	
  &	
  
            Emotional	
  States:	
  Understanding	
  Users'	
  Music	
  Listening	
  Needs"	
  by	
  Bruce	
  Ferwerda,	
  Markus	
  
            Schedl	
  and	
  Marko	
  Tkalcic,	
  representing	
  an	
  exploration	
  of	
  emotional	
  patterns	
  in	
  music	
  
            preferences	
  based	
  on	
  large	
  user	
  studies,	
  which	
  represents	
  a	
  starting	
  point	
  for	
  the	
  design	
  of	
  
            music	
  recommender	
  systems;	
  
       •    important	
  application-­‐oriented	
  research,	
  such	
  as	
  health,	
  in	
  the	
  paper	
  "What's	
  On	
  My	
  Plate:	
  
            Towards	
  Recommending	
  Recipe	
  Variations	
  for	
  Diabetes	
  Patients"	
  by	
  Markus	
  Rokicki,	
  Eelco	
  
            Herder	
  and	
  Elena	
  Demidova,	
  giving	
  preliminary	
  insights	
  into	
  features	
  of	
  a	
  recipe	
  dataset	
  
            clustered	
  based	
  on	
  dishes,	
  and	
  aimed	
  at	
  extracting	
  dietary	
  patterns	
  of	
  specific	
  communities,	
  
            such	
  as	
  people	
  affected	
  by	
  diabetes,	
  as	
  a	
  starting	
  point	
  for	
  a	
  needs-­‐based	
  recipe	
  
            recommendation	
  system,	
  followed	
  by	
  the	
  paper	
  "Adaptive	
  Recommendations	
  for	
  Patients	
  
            with	
  Diabetes"	
  by	
  Stephan	
  Weibelzahl,	
  Dominikus	
  Heckmann,	
  Eelco	
  Herder,	
  Karsten	
  Müssig	
  
            and	
  Janko	
  Schildt,	
  giving	
  concrete	
  project	
  ideas	
  about	
  a	
  personalised	
  system	
  for	
  diabetes	
  
            patients,	
  supporting	
  patients	
  in	
  making	
  decision	
  that	
  are	
  related	
  to	
  the	
  treatment,	
  by	
  
            modelling	
  their	
  behaviour	
  and	
  their	
  physiology.	
  

We	
  thank	
  all	
  authors	
  for	
  submitting	
  and	
  presenting	
  their	
  works,	
  and	
  members	
  of	
  the	
  Program	
  
Committee	
  for	
  providing	
  their	
  valuable	
  time	
  and	
  expertise	
  for	
  reviewing	
  and	
  selecting	
  the	
  papers.	
  All	
  
their	
  efforts	
  made	
  UMAP	
  2015	
  late-­‐breaking	
  results	
  possible.	
  

	
  

Alexandra	
  I.	
  Cristea	
  

Nava	
  Tintarev	
  

	
  

	
                                            	
  
PROGRAM	
  COMMITTEE	
  
Kenro          Aihara        National Institute of Informatics
Liliana        Ardissono     University of Torino
Hideki         Asoh          AIST
Mathias        Bauer         mineway GmbH
Shlomo         Berkovsky     NICTA
Maria          Bielikova     Slovak University of Technology in Bratislava
Pradipta       Biswas        Wolfson College, Cambridge University
Robin          Burke         DePaul University
Iván           Cantador      Universidad Autónoma de Madrid
Federica       Cena          Department of Computer Science, University of Torino
Min            Chi           North Carolina State University
David          Chin          University of Hawaii
Mihaela        Cocea         School of Computing, University of Portsmouth
Paolo          Cremonesi     Politecnico di Milano
Sidney         D'Mello       University of Notre Dame
Paul           De Bra        TU/e
Marco          De Gemmis     Dipartimento di Informatica - University of Bari
Ernesto        Diaz-Aviles   IBM Reseach
Peter          Dolog         Department of Computer Science, Aalborg University
Benedict       Du Boulay     Informatics Department, University of Sussex
Casey          Dugan         IBM T.J. Watson Research
Jill           Freyne        CSIRO
Fabio          Gasparetti    Artificial Intelligence Laboratory - ROMA TRE University
Mouzhi         Ge            Universitaet der Bundeswehr Munich
Cristina       Gena          Department of Computer Science, University of Torino
Bradley        Goodman       The MITRE Corporation
Eelco          Herder        L3S Research Center
Eva            Hudlicka      Psychometrix Associates
Alejandro      Jaimes        Yahoo! Research
Dietmar        Jannach       TU Dortmund
Robert         Jäschke       L3S Research Center
W. Lewis       Johnson       Alelo Inc.
Judy           Kay           University of Sydney
Styliani       Kleanthous    University of Cyprus
Bart           Knijnenburg   University of California, Irvine
Tsvi           Kuflik        The University of Haifa
Pasquale       Lops          University of Bari
Bernd          Ludwig        Chair for Information Science
Gordon         McCalla       University of Saskatchewan
Tanja          Mitrovic      Intelligent Computer Tutoring Group, University of Canterbury, Christchurch
Riichiro       Mizoguchi     Japan Advanced Institute of Science and Technology
Bamshad        Mobasher      DePaul University
Elena          Not           FBK-irst
Aditya         Pal           IBM
Georgios       Paliouras     Institute of Informatics & Telecommunications, NCSR "Demokritos"
Luiz Augusto   Pizzato       Octosocial Labs
Katharina      Reinecke      University of Zurich
Cristobal      Romero        Department of Computer Sciences and Numerical Analysis
Alan           Said          Recorded Future
Olga C.        Santos        aDeNu Research Group (UNED)
Giovanni       Semeraro      Dipartimento di Informatica - University of Bari Aldo Moro
Marcus         Specht        Open University of the Nethderlands
Ben           Steichen     University of British Columbia
Dhavalkumar   Thakker      University of Leeds
Marko         Tkalcic      Johannes Kepler University Department of Computational Perception
Christoph     Trattner     KMI, TU-Graz
Jian          Wang         LinkedIn Corporation
Stephan       Weibelzahl   Private University of Applied Sciences Göttingen
Markus        Zanker       Alpen-Adria-Universitaet Klagenfurt
Jie           Zhang        Nanyang Technological University
Yong          Zheng        DePaul University