Domain Name Recommendation based on Neural Network

被引:1
作者
Benlamine, Kaoutar [1 ,2 ]
Grozavu, Nistor [1 ]
Bennani, Younes [1 ]
Nicoleta, Rogovschi [3 ]
Haddadou, Kamel [2 ]
Amamou, Ahmed [2 ]
机构
[1] Univ Paris 13, Sorbonne Paris Cite, 99 Av J-B Clement, F-93430 Velletaneuse, France
[2] GANDI SAS, 63-65 Blvd Massena, F-75013 Paris, France
[3] Univ Paris 05, LIPADE, 45 Rue St Peres, F-75005 Paris, France
来源
INNS CONFERENCE ON BIG DATA AND DEEP LEARNING | 2018年 / 144卷
关键词
Text Mining; Neural Network; Natural Language Processing;
D O I
10.1016/j.procs.2018.10.505
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The number of website is increasing speedily, and clients purchase their website from the enterprise that suggests them the best domain name with a good price. In order to give the relevant domain name, enterprise is always eager to have a good system of suggestion that suits the client request. Recommender system has been an effective key solution to guide users in a personalized way for discovering the domain name they might be interested in from a large space of possible suggestion. They have become fundamental applications that provides to users the best domain name that meet their needs and preferences. In this work, we used a recommender system based on neural network as it is capable to solve many complex tasks and gives better customer satisfaction. We proposed two approaches to recommend domain name, both of these approaches are based on neural network. The first one consists on discovering the similarity between the vocabulary of domain name, while the second one is finding the relevant Top Level Domain (TLD) corresponding to the context of the domain name. First experiments on GANDI datasets shows the effectiveness of the proposed approaches. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:60 / 70
页数:11
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