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    <name>Article</name>
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              <text>HQA Bot: Hybrid AI Recommender Based Question Answering Chatbot</text>
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              <text>Artificial Intelligence; Chatbot; Deep Learning; Question Answering System; Recommender System; Reinforcement Learning</text>
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              <text>The COVID pandemic has presented a number of challenges for education, particularly when it comes to reaching and engaging students. As a result, online education has become increasingly important, and artificial intelligence (AI) has played a crucial role in supporting this shift. The proposed tutor assistance question-answering system uses AI to automatically generate responses to student questions. This system includes a feedback mechanism, known as a satisfaction index that measures the efficiency of the generated responses and suggest relevant follow-up questions. The proposed Hybrid Recommender-based Dijkstras algorithm (HRD) improves the system's accuracy. This algorithm uses a combination of techniques to group relevant questions based on context, which improves the accuracy of identifying the next relevant question. In our customized dataset, this approach achieved an accuracy of 96% and an average accuracy of 82% across benchmarked datasets. With this system, we aim to bridge the gap between students and education by providing a more engaging and personalized learning experience.  2023, Ismail Saritas. All rights reserved.</text>
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              <text>Felicia Lilian J.; Vetriveeran D.; Malini A.; Kayalvizhi S.</text>
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              <text>International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 4, pp. 227-233.</text>
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              <text>Ismail Saritas</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISSN: 21476799</text>
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              <text>Online</text>
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              <text>Felicia Lilian J., Thiagarajar college of Engineering, Madurai, 625015, India; Vetriveeran D., CHRIST University, Bangalore, 560074, India; Malini A., Thiagarajar college of Engineering, Madurai, 625015, India; Kayalvizhi S., SRM Institute of Science and Technology, Chengalpattu, 603203, India</text>
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