development and implementation of a search module into an ERP system deployed on the customer’s side<\/p>\n
The developers had two main tasks – to achieve a high level of relevance of search data and to create a system that can independently learn without operator intervention. Apache Lucene technologies were used to solve search problems, conceptual search methods – the method of dense vectors and neural networks. One of the varieties of recurrent neural networks, an LSTM network with fine-tuning capabilities, was used as neural networks.<\/p>\n
Java, Python (Pandas, Keras), frameworks TensorFlow, Elasticsearch, Apache Spark<\/p>\n
75% of the project was completed.<\/p>","protected":false},"excerpt":{"rendered":"
Search Module Implementation Realized Tasks: development and implementation of a search module into an ERP system deployed on the customer’s side Implementation path: The developers had two main tasks – to achieve a high level of relevance of search data and to create a system that can independently learn without operator intervention. Apache Lucene technologies…<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"\n