Now showing items 1-16 of 16

    • Addressing the new user problem with a personality based user similarity measure 

      Tkalčič M; Kunaver M; Košir A; Tasič J (CEUR-WS.org, 2011)
      The new user problem is a recurring problem in memory based collaborative recommender systems (MBCR). It occurs when a new user is added to the system and there are not enough information to make a good selection of the ...
    • Content4All: A cross-media platform for community information exchange 

      Burnik U; Pogačnik M; Tkalčič M; Tasič J (IEEE, 2005)
      The paper is presenting a core idea of the IST Content 4 All research project, oriented towards establishing an open-source cross-media framework for communication and information exchange. The framework is taking advantage ...
    • Database for contextual personalization 

      Košir A; Odić A; Kunaver M; Tkalčič M; Tasič J (2011)
      In recent years, research into user centric and personalized applications has focused on the utilization of contextual information about the situation in which the user is consuming the content item. However, there is no ...
    • Emotion-aware recommender systems - A framework and a case study 

      Tkalčič M; Burnik U; Odić A; Košir A; Tasič J (Springer Verlag, 2013)
      Recent work has shown an increase of accuracy in recommender systems that use emotive labels. In this paper we propose a framework for emotion-aware recommender systems and present a survey of the results in such recommender ...
    • Emotional properties of latent factors in an image recommender system 

      Tkalčič M; Košir A; Dobravec S; Tasič J (2011)
      In this paper we analyze the relations between the latent factors with high variance description and affective parameters in an image recommender system. Using the matrix factorization approach we identify the main two ...
    • Exploiting implicit affective labeling for image recommendations 

      Tkalčič M; Odić A; Košir A; Tasič J (IEEE, 2012)
      Recent work has shown an increase of accuracy in recommender systems that use affective labels. In this paper we compare three labeling methods within a recommender system for images: (i) generic labeling, (ii) explicit ...
    • Impact of implicit and explicit affective labeling on a recommender system's performance 

      Tkalčič M; Odić A; Košir A; Tasič J (Springer, 2012)
      Affective labeling of multimedia content can be useful in recommender systems. In this paper we compare the effect of implicit and explicit affective labeling in an image recommender system. The implicit affective labeling ...
    • Impact of implicit and explicit affective labeling on a recommender system's performance 

      Tkalčič M; Odić A; Košir A; Tasič J (CEUR-WS.org, 2011)
      Affective labeling of multimedia content can be useful in recommender systems. In this paper we compare the effect of implicit and explicit affective labeling in an image recommender system. The implicit affective labeling ...
    • 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).  ...
    • The LDOS-PerAff-1 Corpus of Face Video Clips with Affective and Personality Metadata 

      Tkalčič M; Tasič J; Košir A (Multimodal-Corpora.org, 2009)
      This paper presents a corpus of video clips of users responding to emotional stimuli. The corpus is unique for two reasons. First, the emotions are annotated in the valence-arousal-dominance space instead of the usual ...
    • Non-invasive data acquisition for user modeling 

      Košir A; Tkalčič M; Tasič J ([s.n.], 2008)
      One of the most impending drawbacks of modern information technology and communication devices is the problem of user interfacing. The focus of the research community to tackle this problem is almost exclusively set to the ...
    • P2P for majorEvents: A hybrid multimedia distribution platform 

      Tkalčič M; Tasič J (IEEE, 2007)
      Multimedia content platforms are a hot topic right now with the advent of applications like YouTube.com. Many similar application exist that have their advantages and drawbacks. This paper presents a platform that enhances ...
    • Personality and social context: Impact on emotion induction from movies 

      Odić A; Tkalčič M; Tasič J; Košir A (CEUR-WS.org, 2013)
      In this paper we describe our preliminary work on understanding the impact of personality on the emotion induction in different social circumstances during the consumption of movies, for the purpose of the context-aware ...
    • 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 ...
    • Usage of affective computing in recommender systems 

      Tkalčič M; Košir A; Tasič J (2011)
      In this paper we present the results of three investigations of our broad research on the usage of affect and personality in recommender systems. We improved the accuracy of a content-based recommender system with the ...