Now showing items 753-772 of 1009

  • 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 (CEUR-WS.org, 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 ...
  • Replaying IDE interactions to evaluate and improve change prediction approaches 

    Robbes R; Pollet D; Lanza M (IEEE Computer Society, 2010)
    Change prediction helps developers by recommending program entities that will have to be changed alongside the entities currently being changed. To evaluate their accuracy, current change prediction approaches use data ...
  • Replicating and improving top-n recommendations in open source packages 

    Coba L; Symeonidis P; Zanker M (ACM, 2018)
    Collaborative filtering techniques have been studied extensively during the last decade. Many open source packages (Apache Mahout, LensKit, MyMediaLite, rrecsys etc.) have them implemented, but typically the top-N ...
  • Replication and reproduction in recommender systems research: Evidence from a case-study with the rrecsys library 

    Çoba L; Zanker M (Springer, 2017)
    Recommender systems (RS) are a real-world application domain for Artificial Intelligence standing at the core of massively used e-commerce and social-media platforms like Amazon, Netflix, Spotify and many more. The research ...
  • Representability in DL-LiteR Knowledge Base Exchange 

    Arenas, M; Botoeva, E; Calvanese, D; Ryzhikov, V; Sherkhonov, E (CEUR, 2012)
    Knowledge base exchange can be considered as a generalization of data exchange in which the aim is to exchange between a source and a target connected through mappings, not only explicit knowledge, i.e., data, but also ...
  • Representing public transport schedules as repeating trips 

    Kasperovics, R; Böhlen, M; Gamper, J (IEEE, 2008)
    The movement in public transport networks is organized according to schedules. The real-world schedules are specified by a set of periodic rules and a number of irregularities from these rules. The irregularities appear ...
  • Reproducing and Prototyping Recommender Systems in R 

    Çoba L; Symeonidis P; Zanker M (RWTH, 2017)
    In this paper we describe rrecsys, an open source extension package in R for rapid prototyping and intuitive assessment of recommender system algorithms. Due to its wide variety of implemented packages and functionalities, ...