找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Web Technologies and Applications; APWeb 2015 Workshops Ruichu Cai,Kang Chen,Lei Zou Conference proceedings 2015 Springer International Pub

[復(fù)制鏈接]
樓主: broach
51#
發(fā)表于 2025-3-30 09:03:57 | 只看該作者
Cross-Lingual Entity Query from Large-Scale Knowledge Graphseen Chinese entities and English knowledge graphs. The experiments show that our approach can achieve a high precision of 82.3?% for the task of finding cross-lingual entities on a test dataset. Our experiments for the sub task of finding missing cross-lingual links show that our approach has a prec
52#
發(fā)表于 2025-3-30 15:48:52 | 只看該作者
Cross-Lingual Entity Query from Large-Scale Knowledge Graphseen Chinese entities and English knowledge graphs. The experiments show that our approach can achieve a high precision of 82.3?% for the task of finding cross-lingual entities on a test dataset. Our experiments for the sub task of finding missing cross-lingual links show that our approach has a prec
53#
發(fā)表于 2025-3-30 19:25:54 | 只看該作者
Zhimin Zhong,Yuliang Zhang,Guanglong Yang,Yongping Kong
54#
發(fā)表于 2025-3-30 20:58:08 | 只看該作者
55#
發(fā)表于 2025-3-31 04:02:41 | 只看該作者
An Empirical Study of a Large Scale Online Recommendation Systemdeal with the scalability issues, we implemented our system with both Apache Storm (for real-time prediction and classification) and Apache Spark (for fast off-line model training). A group of experiments were carried out with real-world data sets and the results show the efficiency and effectiveness of our proposed approach.
56#
發(fā)表于 2025-3-31 05:15:33 | 只看該作者
Protecting Location Privacy in Spatial Crowdsourcing-anonymity to protect the workers’ location privacy. However, it will result in the consequence that various spatial tasks can’t be performed. To improve the spatial task assignment, we propose an optimized scheme for spatial task assignment without compromising the workers’ location privacy, and verify the effect through our experiments.
57#
發(fā)表于 2025-3-31 09:21:21 | 只看該作者
58#
發(fā)表于 2025-3-31 16:20:35 | 只看該作者
Multi-dimensional User Credibility Analysis on Review Contentxt and can sensitively capture fluctuates among aspects. We model user scoring relationship by a weighted bipartite graph with users and aspects as nodes and credibility as weights. An iteration algorithm is designed for credibility calculation on the graph. We perform extensive experiments to demonstrate the advantages of our design.
59#
發(fā)表于 2025-3-31 18:43:24 | 只看該作者
Multi-dimensional User Credibility Analysis on Review Contentxt and can sensitively capture fluctuates among aspects. We model user scoring relationship by a weighted bipartite graph with users and aspects as nodes and credibility as weights. An iteration algorithm is designed for credibility calculation on the graph. We perform extensive experiments to demonstrate the advantages of our design.
60#
發(fā)表于 2025-3-31 22:01:16 | 只看該作者
A Method of Text Classification Combining Naive Bayes and the Similarity Computing Algorithms actual data, and the results are compared with those of Bayesian algorithm and similarity computing algorithm respectively. The results show that the proposed method achieves a higher precision rate.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 14:23
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
宁津县| 炎陵县| 南澳县| 仁寿县| 宝应县| 武宁县| 南投县| 田东县| 林口县| 那曲县| 淮滨县| 海兴县| 天津市| 枞阳县| 通江县| 大同市| 小金县| 洛川县| 四子王旗| 连州市| 鄂温| 台安县| 红原县| 曲阜市| 深泽县| 勃利县| 海兴县| 上饶县| 江口县| 波密县| 寻甸| 比如县| 西乡县| 长子县| 林口县| 同心县| 武清区| 辽中县| 涞源县| 区。| 特克斯县|