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: Web Information Systems Engineering – WISE 2017; 18th International C Athman Bouguettaya,Yunjun Gao,Qing Li Conference proceedings 2017 Spr

[复制链接]
楼主: duodenum
发表于 2025-3-23 13:29:17 | 显示全部楼层
发表于 2025-3-23 16:25:58 | 显示全部楼层
A Network Based Stratification Approach for Summarizing Relevant Comment Tweets of News Articlesbe exploited by news media sources to obtain user reactions centered around different news articles. A comprehensive summary of the user reactions with respect to a news article can be crucial due to various reasons like: (i) obtaining insights about the diverse opinions of the readers with respect
发表于 2025-3-23 20:36:28 | 显示全部楼层
发表于 2025-3-23 23:31:20 | 显示全部楼层
发表于 2025-3-24 05:35:02 | 显示全部楼层
Dynamic Relationship Building: Exploitation Versus Exploration on a Social Networke formalize this question using the dynamic network building problem. Two strategies stand out to solve this problem: The first directs the individual to exploit their social proximity by linking to nodes that are close-by, while the second tries its best to explore distant regions of the network. W
发表于 2025-3-24 07:44:18 | 显示全部楼层
Social Personalized Ranking Embedding for Next POI Recommendationhelp users explore their surrounding living environment and improve the quality of life. Recently, some researchers proposed next POI recommendation, which not only exploiting the users personal interests but also considers the sequential information of users check-ins. There are some next POI recom
发表于 2025-3-24 13:42:18 | 显示全部楼层
Assessment of Prediction Techniques: The Impact of Human Uncertaintyns, e.g. for comparative analysis and finding a competition winner with best prediction performance. In real life, human beings meet their decisions with considerable uncertainty. Its assessment and resulting implications for the statistically evident evaluation of predictive models are in the main
发表于 2025-3-24 16:55:34 | 显示全部楼层
Incremental Structural Clustering for Dynamic Networkstant approach for this task, which has attracted much attention in recent years. The . algorithm can not only use to identify cohesive structures, but it is also able to detect outliers and hubs in a static network. Most real-life networks, however, frequently evolve over time. Unfortunately, the .
发表于 2025-3-24 20:58:54 | 显示全部楼层
发表于 2025-3-25 02:23:49 | 显示全部楼层
Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Methodications such as building semantic maps and indoor robotic navigation. In this paper, we present a novel methodology to identify spatial information in web documents using semi-supervised trained machine learning classifiers. The semi-supervised models trained with the half amount of data available
 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, 2025-5-14 20:43
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