Context Information in a Collaborative Recommender System Deployed in Real Environment

This paper focuses on monitoring and analyzing user activities on collaborative filtering -based recommender system in order to guess suitable and unsuitable items' context information using rating matrix which makes more efficient adaptation task. An ontology-based user profile and rules-based context modeling for reasoning about context information is proposed in this research work, in addition to an investigation to apply Semantic Web technologies in user modeling and context reasoning. This proposal is applied in education field in which we have designed an authoring tool for learning objects within ubiquitous environment. This system aims to improve the learning object production task (creation, review, edition…) on behalf of technologies offered by collaborative filtering systems as well as user behaviors monitoring to improve the recommendation process.

Download Full-text

Automatic Stereotype Activation Is Context Dependent

Social Psychology ◽

10.1027/1864-9335/a000019 ◽

2010 ◽

Vol 41 (3) ◽

pp. 131-136 ◽

Cited By ~ 35

Author(s):

Catharina Casper ◽

Klaus Rothermund ◽

Dirk Wentura

Keyword(s):

Lexical Decision ◽

Context Information ◽

Decision Task ◽

Social Categories ◽

Priming Effects ◽

Stereotype Activation ◽

Social Stereotypes ◽

Priming Paradigm ◽

Automatic Activation ◽

Mental Schemas

Processes involving an automatic activation of stereotypes in different contexts were investigated using a priming paradigm with the lexical decision task. The names of social categories were combined with background pictures of specific situations to yield a compound prime comprising category and context information. Significant category priming effects for stereotypic attributes (e.g., Bavarians – beer) emerged for fitting contexts (e.g., in combination with a picture of a marquee) but not for nonfitting contexts (e.g., in combination with a picture of a shop). Findings indicate that social stereotypes are organized as specific mental schemas that are triggered by a combination of category and context information.

Download Full-text

Impact of Context Information on Metaphor Elaboration

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000422 ◽

2018 ◽

Vol 65 (6) ◽

pp. 370-384 ◽

Cited By ~ 5

Author(s):

Veronika Lerche ◽

Ursula Christmann ◽

Andreas Voss

Keyword(s):

Diffusion Model ◽

Processing Speed ◽

A Priori ◽

Model Fit ◽

Verbal Task ◽

Context Information ◽

Speed Of Processing ◽

Good Account ◽

Dependent Variables ◽

Decision Settings

Abstract. In experiments by Gibbs, Kushner, and Mills (1991) , sentences were supposedly either authored by poets or by a computer. Gibbs et al. (1991) concluded from their results that the assumed source of the text influences speed of processing, with a higher speed for metaphorical sentences in the Poet condition. However, the dependent variables used (e.g., mean RTs) do not allow clear conclusions regarding processing speed. It is also possible that participants had prior biases before the presentation of the stimuli. We conducted a conceptual replication and applied the diffusion model ( Ratcliff, 1978 ) to disentangle a possible effect on processing speed from a prior bias. Our results are in accordance with the interpretation by Gibbs et al. (1991) : The context information affected processing speed, not a priori decision settings. Additionally, analyses of model fit revealed that the diffusion model provided a good account of the data of this complex verbal task.

Download Full-text