Product Classification Using Microdata Annotations

Author:

Zhang ZiqiORCID,Paramita MonicaORCID

Publisher

Springer International Publishing

Reference21 articles.

1. Akritidis, L., Fevgas, A., Bozanis, P.: Effective unsupervised matching of product titles with k-combinations and permutations. In: IEEE 30th International Conference on Tools with Artificial Intelligence, pp. 213–220 (2018)

2. Altınel, B., CanGaniz, M.: Semantic text classification: a survey of past and recent advances. Inf. Process. Manag. 54(6), 1129–1153 (2018)

3. Cevahir, A., Murakami, K.: Large-scale multi-class and hierarchical product categorization for an e-commerce giant. In: Proceedings of the 26th International Conference on Computational Linguistics (COLING): Technical Papers, pp. 525–535. The COLING 2016 Organizing Committee (2016)

4. Lecture Notes in Computer Science;C Chavaltada,2017

5. Ding, Y., et al.: Automated classification of product data in e-commerce. In: Proceedings of the Business Information Systems Conference (2002)

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1. Web Mining;Machine Learning for Data Science Handbook;2023

2. An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining;SN Computer Science;2022-10-17

3. EvoLearner: Learning Description Logics with Evolutionary Algorithms;Proceedings of the ACM Web Conference 2022;2022-04-25

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