Information filtering based on user behavior analysis and best match text retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized web search by mapping user queries to categories
Proceedings of the eleventh international conference on Information and knowledge management
Combining eye movements and collaborative filtering for proactive information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Affective multimodal human-computer interaction
Proceedings of the 13th annual ACM international conference on Multimedia
Proceedings of the 11th international conference on Intelligent user interfaces
Learning user interaction models for predicting web search result preferences
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Authentic facial expression analysis
Image and Vision Computing
Facial Expression Recognition: A Fully Integrated Approach
ICIAPW '07 Proceedings of the 14th International Conference of Image Analysis and Processing - Workshops
Affective feedback: an investigation into the role of emotions in the information seeking process
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Learning user interests for a session-based personalized search
Proceedings of the second international symposium on Information interaction in context
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Proceedings of the ACM International Conference on Image and Video Retrieval
Understanding relevance: an fMRI study
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Tuning user profiles based on analyzing dynamic preference in document retrieval systems
Multimedia Tools and Applications
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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Information retrieval systems face a number of challenges, originating mainly from the semantic gap problem. Implicit feedback techniques have been employed in the past to address many of these issues. Although this was a step towards the right direction, a need to personalise and tailor the search experience to the user-specific needs has become evident. In this study we examine ways of personalising affective models trained on facial expression data. Using personalised data we adapt these models to individual users and compare their performance to a general model. The main goal is to determine whether the behavioural differences of users have an impact on the models' ability to determine topical relevance and if, by personalising them, we can improve their accuracy. For modelling relevance we extract a set of features from the facial expression data and classify them using Support Vector Machines. Our initial evaluation indicates that accounting for individual differences and applying personalisation introduces, in most cases, a noticeable improvement in the models' performance.