@inproceedings{ubo_mods_00115757,
  author = {Loepp, Benedikt and Ziegler, Jürgen},
  title = {Recommending Running Routes: Framework and Demonstrator},
  booktitle = {Proceedings of the 2nd Second Workshop on Recommendation in Complex Scenarios (ComplexRec ’18)},
  year = {2018},
  pages = {26–29},
  keywords = {Sports},
  url = {http://toinebogers.com/workshops/complexrec2018/resources/proceedings.pdf#page=26},
  abstract = {Recommending personalized running routes is a challenging task. When the runner’s specific background as well as needs, preferences and goals are taken into account, a recommender cannot only rely on e.g. a set of existing routes ran by others, but needs to individually generate each route while considering many different aspects that determine whether a suggestion will satisfy the runner in the end, e.g. height meters or areas passed. We describe a framework that summarizes these aspects, allowing to generate personalized running routes. Based on this framework, we present a prototypical smartphone app that we implemented to actually demonstrate how running routes can be recommended based on the different requirements a runner might have. A first small study where users had to try this app and ran some of the recommended routes underlines the general effectiveness of our approach.}
}


@inproceedings{ubo:48984,
  author = {Loepp, Benedikt and Ziegler, Jürgen},
  chapter = {},
  title = {Komplexe Präferenzprofile für intermodale Navigation},
  year = {2014},
  publisher = {De Gruyter Oldenbourg},
  address = {Berlin},
  isbn = {978-3-11-034450-9},
  doi = {10.1524/9783110344509.191},
  url = {http://dx.doi.org/10.1524/9783110344509.191},
  pages = {191–198},
  abstract = {In diesem Beitrag präsentieren wir Aspekte, die für Nutzer im Kontext intermodaler Navigation von 
 Bedeutung  sind  und  durch  komplexe  Präferenzprofile  abgebildet  werden  können.  Neben  einer  Herleitung und Klassifikation solch potenzieller Nutzeranforderungen an die Anpassung von Mobilitätsketten  −  beispielsweise  an  individuelle Präferenzen  wie  den  energetischen  Fußabdruck  oder das  gewünschte Maß an Komfort  – stellen wir  einen Prototypen vor, der einen ersten Schritt hin zu einer interaktiven, stark individualisierbaren Unterstützung intermodaler Navigation darstellt. },
  booktitle = {Mensch und Computer 2014 – Workshopband}
}