What is Recommender systems

This chapter presents the methodology for transformation of behavioural cues into Social Signals (SSs) in human-computer interaction that consists of three steps: acquisition of behavioural cues, manual and algorithmic pre-selection of behaviour cues, and classifier selection. The methodology was used on the SS class {hesitation, no hesitation} in the interaction between a user and video-on-demand system. The first step included observation of the user during interaction and obtaining information about behavioural cues. This step was tested on several users. The second step was the manual and algorithmic pre-selection of all cues that occurred into a subset of most significant cues. Different combinations of selected cues were then used in verification process with the aim of finding the combination with the best recognition rate. The last step involved the selection of an appropriate classifier. For example, a logistic regression model was obtained in combination with four features.