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Found 6 papers, 1 papers with code
Inclusive Design Insights from a Preliminary Image-Based Conversational Search Systems Evaluation
The digital realm has witnessed the rise of various search modalities, among which the Image-Based Conversational Search System stands out.
Towards Subject Agnostic Affective Emotion Recognition
Our domain adaptation approach is augmented through meta-learning, which consists of a recurrent neural network, a classifier, and a distributional shift controller based on a sum-decomposable function.
Lightweight Adaptation of Neural Language Models via Subspace Embedding
Traditional neural word embeddings are usually dependent on a richer diversity of vocabulary.
Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach
Understanding an information forager's actions during interaction is very important for the study of interactive information retrieval.
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
In the first part, we hypothesise that the users' perception is improved with visual cues in the images as behavioural signals that provide users' information scent during information seeking.
Effects of Foraging in Personalized Content-based Image Recommendation
We investigate a personalized content-based image recommendation system to understand what affects user attention by reinforcing visual attention cues based on IFT.
