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Local Model-Agnostic Explanations for Black-box Recommender Systems Using Interaction Graphs and Link Prediction Techniques
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
Explanations in recommender systems are a requirement to improve users’ trust and experience. Traditionally, explanations in recommender systems are derived from their internal data regarding ratings, item features, and ...
OntoInfoG++: A Knowledge Fusion Semantic Approach for Infographics Recommendation
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-06)
As humans tend to improvise and learn on a constant basis, the need for visualizing and recommending knowledge is increasing. Since the World Wide Web is exploded with a lot of multimedia content and with a growing amount ...
Attentive Flexible Translation Embedding in Top-N Sparse Sequential Recommendations
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2023-12)
Sequential recommendation aims to predict the user’s next action based on personal action sequences. The major challenge in this task is how to achieve high performance recommendation under the data sparsity problem. ...