找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Semantic Keyword-Based Search on Structured Data Sources; Third International Julian Szymański,Yannis Velegrakis Conference proceedings 20

[复制链接]
楼主: ALLY
发表于 2025-3-30 08:54:00 | 显示全部楼层
发表于 2025-3-30 16:07:16 | 显示全部楼层
发表于 2025-3-30 16:31:55 | 显示全部楼层
发表于 2025-3-30 23:08:24 | 显示全部楼层
Challenges in Applying Machine Learning Methods: Studying Political Interactions on Social Networksitical behavior of users in social networks (SN). This paper explores challenges which occurred in a set of studies which we conducted regarding classification of comments to posts of politicians and suggests ways of addressing these challenges. These challenges apply to a larger set of online polit
发表于 2025-3-31 03:17:09 | 显示全部楼层
发表于 2025-3-31 07:40:32 | 显示全部楼层
发表于 2025-3-31 11:31:51 | 显示全部楼层
发表于 2025-3-31 16:09:44 | 显示全部楼层
发表于 2025-3-31 18:00:05 | 显示全部楼层
Accessing the Deep Web with Keywords: A Foundational Approacha presents many challenges: it has been shown that answering even simple queries on such data requires the execution of recursive query plans. There is a gap between the theoretical understanding of this problem and the practical approaches to it. The main reason behind this is that the problem is t
发表于 2025-3-31 21:45:49 | 显示全部楼层
Item-Based Vs User-Based Collaborative Recommendation PredictionsWe investigate the effect of applying LSA, as well as varying the neighbourhood size on the different algorithms. Finally, we experiment with the inclusion of content-type information in our recommender systems. We find that the most effective system is the . system that uses LSA.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-11 02:18
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表