Now showing items 1-10 of 10

    • Policy-based reasoning for smart web service interaction 

      Alberti M; Chesani F; Gavanelli M; Lamma E; Mello P; Montali M; Torroni P (2006)
      We present a vision of smart, goal-oriented web services that reason about other services' policies and evaluate the possibility of future interactions. To achieve our vision, we propose a proof theoretic approach. We ...
    • Towards a DecSerFlow declarative semantics based on computational logic 

      Chesani F; Mello P; Montali M; Storari S (2007)
      In this paper we exploit a computational logic-based framework, called SCIFF, for the formalization of DecSerFlow. DecSerFlow is a graphical, extendible high-level language for the declarative specification of service ...
    • An efficient implementation of Reactive Event Calculus in SCIFF 

      Chesani, F; Mello, P; Montali, M; Torroni, P (2008)
      In this work, we propose a reactive version of the Event Calculus (EC) implemented on top of the SCIFF framework. Being reactive, such an implementation is able to dynamically update the status of fluents as events occur. ...
    • LDOS CAMRA 2011 submission 

      Tkalčič M; Odić A; Košir A; Tasič J (2011)
      This  paper  is  a  report  on  the  work  done  by  the  LDOS team  (from  the  University  of  Ljubljana  Faculty  of  electrical engineering) on the 2011 RecSys CAMRA (Challenge on Context-aware Movie Recommendation).  ...
    • Current Challenges and Visions in Music Recommender Systems Research 

      Schedl M; Zamani H; Chen CW; Deldjoo Y; Elahi M (2017)
      Music recommender systems (MRS) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user's fingertip. ...
    • Fast construction of efficient composite likelihood equations 

      Huang Z; Ferrari D (2017)
      Growth in both size and complexity of modern data challenges the applicability of traditional likelihood-based inference. Composite likelihood (CL) methods address the difficulties related to model selection and computational ...
    • Using Mise-En-Scene Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation 

      Deldjoo Y; Quadrana M; Elahi M; Cremonesi P (2017)
      Item features play an important role in movie recommender systems, where recommendations can be generated by using explicit or implicit preferences of users on traditional features (attributes) such as tag, genre, and cast. ...
    • A multistakeholder analysis of BES data: a focus on health in South Tyrol 

      Salustri A; Viganò F (2017)
      The paper develops a multi-stakeholder wellbeing analysis based on BES data (Benessere Equo e Sostenibile, namely “Equitable and Sustainable Wellbeing”) on Health in South Tyrol, in order to highlight convergences and ...
    • Social Network based Short-Term Stock Trading System 

      Cremonesi P; Pagano R; Francalanci C; Mazzoni L; Poli A; Maggioni A; Elahi M (2018)
      This paper proposes a novel adaptive algorithm for the automated short-term trading of financial instrument. The algorithm adopts a semantic sentiment analysis technique to inspect the Twitter posts and to use them to ...