Deep Approach Based on User’s Profile Analysis for Capturing User’s Interests
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96311-8_17
Reference23 articles.
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2. Al-Anzi, F.S., AbuZeina, D.: Beyond vector space model for hierarchical Arabic text classification: a Markov chain approach. Inf. Process. Manag. 54(1), 105–115 (2018). https://doi.org/10.1016/j.ipm.2017.10.003
3. Alsmadi, I., Hoon, G.K.: Term weighting scheme for short-text classification: twitter corpuses. Neural Comput. Appl. 31(8), 3819–3831 (2018). https://doi.org/10.1007/s00521-017-3298-8
4. Bahassine, S., Madani, A., Al-Sarem, M., Kissi, M.: Feature selection using an improved Chi-square for Arabic text classification. J. King Saud Univ. Comput. Inf. Sci. (2018). https://doi.org/10.1016/j.jksuci.2018.05.010
5. Benkhelifa, R., Bouhyaoui, N., Laallam, F.Z.: A demographic-based approach for improved content categorization in social networking. In: Natural Language and Speech Processing (ICNLSP), 2018 2nd International Conference on, pp. 1–5. IEEE (2018)
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