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Some of the project highlights of the Department are listed below:

Artificial Intelligence and Machine Learning (AIML)

How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation
Staff Dr. CHEN, Li
  • To identify the causal relationships from novelty, unexpectedness, relevance, and timeliness to serendipity, and from serendipity to user satisfaction and purchase intention.
  • To reveal the moderating effects of user curiosity on the relationships from novelty to serendipity and from serendipity to satisfaction.
  • To compare four algorithms for recommending e-commerce products in terms of user perceptions.

Project in Different Research Areas:

Artificial Intelligence and Machine Learning (AIML) Big Data and Data Management (BDDM) Computer Vision and Pattern Recognition (CVPR) Distributed Systems and Networking (DSAN)
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Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University