Study on Product Name Disambiguation Method Based on Fusion Feature Similarity
| Autor: | Ying Li, Xiaowei Lu, Xiuli Ning, Yingcheng Xu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Product name
Fusion business.industry Computer science media_common.quotation_subject Ambiguity computer.software_genre Similarity (network science) Product (mathematics) Quality safety Key (cryptography) Feature (machine learning) Artificial intelligence business computer Natural language processing media_common |
| Zdroj: | Advances in Intelligent Information Hiding and Multimedia Signal Processing ISBN: 9789811397097 |
| DOI: | 10.1007/978-981-13-9710-3_14 |
| Popis: | Analyzing and processing the data of product quality safety supervision and spot check is the key to maintain healthy and sustainable development of products, because the data sources are extensive. In view of the ambiguity of product names in the data, a method based on fusion feature similarity is proposed, which disambiguates product names using features such as manufacturer name-related information, product-related information, topic-related information, and so on. Experiment results show that the proposed method is effective for product name disambiguation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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