Now showing items 753-772 of 1020

    • Reasoning over Extended ER Models 

      Artale, A; Calvanese, D; Kontchakov, R; Ryzhikov, V; Zakharyaschev, M (Springer, 2007)
      We investigate the computational complexity of reasoning over various fragments of the Extended Entity-Relationship (EER) language, which includes a number of constructs: isa between entities and relationships, disjointness ...
    • Reasoning With Weighted Ontologies 

      Peñaloza R (CEUR, 2009)
      We study the problem of reasoning over weighted ontologies. We assume that every axiom is labeled with an element of a distributive lattice (called its weight) and try to compute its so-called boundary, with respect to a ...
    • Reasoning-based Curriculum Sequencing and Validation: Integration in a Service-Oriented Architecture 

      Baldoni, M; Barogli, C; Brunkhorst, I; Marengo, E; Patti, V (Springer, 2007)
      We present a service-oriented personalization system, set in an educational framework, based on a semantic annotation of courses including prerequisites and learning objectives. The system supports users in planning ...
    • A REC-based commitment tracking tool (system demonstration) 

      Chesani, F; Mello, P; Montali, M; Torroni, P (AI*IA/TABOO, 2009)
    • Recency-Bounded Verification of Dynamic Database-Driven Systems 

      Abdulla PA; Aiswarya C; Atig MF; Montali M; Rezine O (ACM Press and Addison Wesley, 2016)
      We propose a formalism to model database-driven systems, called database manipulating systems (DMS). The actions of a DMS modify the current instance of a relational database by adding new elements into the database, ...
    • Recommendation-based browsing assistance for corporate knowledge portals 

      Zanker M; Gordea S (ACM, 2006)
      The management of knowledge, i.e. knowing what is known and the ability to exploit it is a burning issue for most organizations. Though knowledge management has a strong social perspective, information technology supports ...
    • Recommendations with optimal combination of feature-based and item-based preferences 

      Nasery M; Braunhofer M; Ricci F (Association for Computing Machinery, Inc, 2016)
      Many recommender systems rely on item ratings to predict users' preferences and generate recommendations. However, users often express preferences by referring to features of the items, e.g., "I like Tarantino's movies". ...
    • Recommender systems in computer science and information systems--a landscape of research 

      Jannach D; Zanker M; Ge M; Gröning M (Springer Berlin Heidelberg, 2012)
      The paper reviews and classifies recent research in recommender systems both in the field of Computer Science and Information Systems. The goal of this work is to identify existing trends, open issues and possible directions ...
    • Recommending friends and locations over a heterogeneous spatio-temporal graph 

      Kefalas P; Symeonidis P (Springer Verlag, 2015)
      Recommender systems in location-based social networks (LBSNs), such as Facebook Places and Foursquare, have focused on recommending friends or locations to registered users by combining information derived from explicit ...
    • Recommending movies based on mise-en-scene design 

      Deldjoo Y; Elahi M; Cremonesi P; Garzotto F; Piazzolla P (ACM, 2016)
      In this paper, we present an ongoing work that will ultimately result in a movie recommender system based on the Mise-en-Scène characteristics of the movies. We believe that the preferences of users on movies can be well ...
    • Recovering inter-project dependencies in software ecosystems 

      Lungu M; Robbes R; Lanza M (ACM, 2010)
      In large software systems, knowing the dependencies between modules or components is critical to assess the impact of changes. To recover the dependencies, fact extractors analyze the system as a whole and build the ...
    • RecSys Challenge 2017: Offline and Online Evaluation 

      Abel F; Deldjoo Y; Elahi M; Kohlsdorf D (ACM, 2017)
      The ACM Recommender Systems Challenge 20171 focused on the problem of job recommendations: given a new job advertisement, the goal was to identify those users who are both (a) interested in getting notified about the job ...
    • RecSys'12 workshop on human decision making in recommender systems 

      Felfernig, A; Lops, P; Ricci, F; Semeraro, G; Willemsen, M; De Gemmis, M (ACM, 2012)
    • Rede über fiktive Kontexte 

      Blumenthal, DB (DuEPublico, 2013)
    • Regular open APIs 

      Calvanese D; De Giacomo G; Lenzerini M; Vardi YM (AAAI Press, 2016)
      Open APIs are software intermediaries that make it possible for application programs to interact with data and processes, which can both be viewed as forms of services. In many scenarios, when one wants to obtain or publish ...
    • Regulated Software Development - an Onerous Transformation 

      Cawley O; Wang XF; Richardson I (Springer, 2013)
      Software development within regulated settings is becoming more and more common place. Compliance typically involves saying what you do and doing what you say. However, in some domains, especially safety-critical ones, it ...
    • Reinforcement Sensitivity and Engagement in Proactive Recommendations: Experimental Evidence 

      Rook L; Sabic A; Zanker M (Springer, 2017)
      We drew on revised Reinforcement Sensitivity Theory to claim that users with an anxiety-related behavioral inhibition would experience proactively delivered recommendations as potential threats. Such users would display ...
    • Release planning of mobile apps based on user reviews 

      Villarroel L; Bavota G; Russo B; Oliveto R; Di Penta M (ACM, 2016)
      Developers have to to constantly improve their apps by fixing critical bugs and implementing the most desired features in order to gain shares in the continuously increasing and competitive market of mobile apps. A precious ...
    • Relevant context in a movie recommender system: Users' opinion vs. statistical detection 

      Odić A; Tkalčič M; Tasič J; Košir A (, 2012)
      Context-aware recommender systems help users find their desired content in a reasonable time, by exploiting the pieces of information that describe the situation in which users will consume the items. One of the remaining ...
    • Repairing Socially Aggregated Ontologies Using Axiom Weakening 

      Porello D; Troquard N; Confalonieri R; Galliani P; Kutz O; Peñaloza R (Springer, 2017)
      Ontologies represent principled, formalised descriptions of agents’ conceptualisations of a domain. For a community of agents, these descriptions may significantly differ. We propose an aggregative view of the integration ...