Enhancing Future Relationship in Social Network Using Semantics Prediction to Predict Links

Author:

Luthra Snigdha,Kaur Gursimran,Singh Dilbag

Publisher

Springer Singapore

Reference13 articles.

1. Ijaz, M., Ferzund, J., Suryani, M. A., & Sardar, A. (2018). Social network link prediction using semantics. (IJACSA) International Journal of Advanced Computer Science and Applications, 9(1).

2. Bengio, Y., Courville, A., & Vincent, P. (2012, January 24). Unsupervised feature learning and deep learning: A review and new perspectives. Department of computer science and operations research.

3. Ahmed, C., & ElKorany, A. (2015, August 25–28). Enhancing link prediction in Twitter using semantic user attributes. In 2015 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM). Paris, France: IEEE.

4. Bahabadi, M. D., Golpayegani, A. H., & Esmaeili, L. (2014, July). A novel C2C E-commerce recommender system based on link prediction: Applying social network analysis. International Journal of Advanced Studies in Computer Science & Engineering (IJASCSE), 3(7).

5. Colgrove, C., Neidert, J., & Chakoumakos, R. (2011, December 11). Using network structure to learn category classification in wikipedia.

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