A self-verifying clustering approach to unsupervised matching of product titles

Author:

Akritidis LeonidasORCID,Fevgas Athanasios,Bozanis Panayiotis,Makris Christos

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference31 articles.

1. Akritidis L, Bozanis P (2018) Effective unsupervised matching of product titles with k-combinations and permutations. In: Proceedings of the 14th IEEE international conference on innovations in intelligent systems and applications (INISTA), pp 1–10

2. Bär D, Biemann C, Gurevych I, Zesch T (2012) UKP: computing semantic textual similarity by combining multiple content similarity measures. In: Proceedings of the 1st joint conference on lexical and computational semantics, pp 435–440

3. Bilenko M, Mooney RJ (2003) Adaptive duplicate detection using learnable string similarity measures. In: Proceedings of the 9th ACM international conference on knowledge discovery and data mining (SIGKDD), pp 39–48

4. Chaudhuri S, Ganjam K, Ganti V, Motwani R (2003) Robust and efficient fuzzy match for online data cleaning. In: Proceedings of the 2003 ACM international conference on management of data (SIGMOD), pp 313–324

5. Christen P (2008) FEBRL: a freely available record linkage system with a graphical user interface. In: Proceedings of the 2nd Australasian workshop on health data and knowledge management, pp 17–25

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