Enhancing User Experience on Q&A Platforms: Measuring Text Similarity Based on Hybrid CNN-LSTM Model for Efficient Duplicate Question Detection

Research article (IEEE Access, 2024) · cited 18× · AI/ML
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Enhancing User Experience on Q&A Platforms: Measuring Text Similarity Based on Hybrid CNN-LSTM Model for Efficient Duplicate Question Detection

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Enhancing User Experience on Q&A Platforms: Measuring Text Similarity Based on Hybrid CNN-LSTM Model for Efficient Duplicate Question Detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing User Experience on Q&A Platforms: Measuring Text Similarity Based on Hybrid CNN-LSTM Model for Efficient Duplicate Question Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-user-experience-on-q-amp-a-platforms-measuring-text-similarity-based-on-hybrid-cnn-lstm-model-for-efficient-du
MLA “Enhancing User Experience on Q&A Platforms: Measuring Text Similarity Based on Hybrid CNN-LSTM Model for Efficient Duplicate Question Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-user-experience-on-q-amp-a-platforms-measuring-text-similarity-based-on-hybrid-cnn-lstm-model-for-efficient-du.
BibTeX @misc{4ortxyz_enhancing-user-experience-on-q-amp-a-platforms-measuring-text-similarity-based-on-hybrid-cnn-lstm-model-for-efficient-du_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing User Experience on Q&A Platforms: Measuring Text Similarity Based on Hybrid CNN-LSTM Model for Efficient Duplicate Question Detection}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-user-experience-on-q-amp-a-platforms-measuring-text-similarity-based-on-hybrid-cnn-lstm-model-for-efficient-du}, note = {Accessed: 2026-05-24}}
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