Výsledky vyhledávání

Akademický článek

Agricultural Product Recommendation Model based on BMF

Autor: Wan Fucheng, Zhu Dengyun, He Xiangzhen, Guo Qi, Zhang Dongjiao, Ren Zhenyang, Du Yuxiang

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 5, Iss 2, Pp 415-424 (2020)

In this article, based on the collaborative deep learning (CDL) and convolutional matrix factorisation (ConvMF), the language model BERT is used to replace the traditional word vector construction method, and the bidirectional long–short time memor

Externí odkaz: https://doaj.org/article/fcb0a5a3bd8649b0a4780dc9b66e92ae

Zobrazit plný text záznamu

Akademický článek

Research and Design of Cross-Language Vertical Search Engine for Special Agricultural E-commerce Platform

Autor: Cao Yaru, Ma Ning, Wan Fucheng, He Xiangzhen

Publikováno v: MATEC Web of Conferences, Vol 176, p 03014 (2018)

Based on the research of vertical search engine and cross-language information retrieval, a crosslanguage vertical search engine design for e-commerce platform is proposed. It aims to solve the problem that it is difficult for Internet users to quick

Externí odkaz: https://doaj.org/article/c69e51a6881f47b9882bf4cbb598b06a

Zobrazit plný text záznamu

Akademický článek

Tibetan Information Extraction Technology Integrated with Event Feature and Semantic Role Labelling

Autor: Wan Fucheng, Xia Jianhua

Publikováno v: MATEC Web of Conferences, Vol 128, p 01016 (2017)

we integrate with semantic information which is based on syntactic analysis for extracting the Tibetan information. For Tibetan language information extraction, through experiments analyzed, syntactic analysis model which is integrated with informati

Externí odkaz: https://doaj.org/article/8ecbab40091c497595d406f0331b4232

Zobrazit plný text záznamu