SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Adaptive interfaces for ubiquitous web access
Communications of the ACM - The Adaptive Web
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Self-Adaptive User Profiles for Large-Scale Data Delivery
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Feature-based recommendation system
Proceedings of the 14th ACM international conference on Information and knowledge management
Multimodal human-computer interaction: A survey
Computer Vision and Image Understanding
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
Affective adaptive retrieval: study of emotion in adaptive retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A comparison of general vs personalised affective models for the prediction of topical relevance
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Implicit image tagging via facial information
Proceedings of the 2nd international workshop on Social signal processing
Information Processing and Management: an International Journal
Understanding relevance: an fMRI study
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
On cognition, emotion, and interaction aspects of search tasks with different search intentions
Proceedings of the 22nd international conference on World Wide Web
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Recommender systems have been systematically applied in industry and academia to help users cope with information uncertainty. However, given the multiplicity of the preferences and needs it has been shown that no approach is suitable for all users in all situations. Thus, it is believed that an effective recommender system should incorporate a variety of techniques and features to offer valuable recommendations and enhance the search experience. In this paper we propose a novel video search interface that employs a multimodal recommender system, which can predict topical relevance. The multimodal recommender accounts for interaction data, contextual information, as well as users' affective responses, and exploits these information channels to provide meaningful recommendations of unseen videos. Our experiment shows that the multimodal interaction feature is a promising way to improve the performance of recommendation.