找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Web Recommendations Systems; K. R. Venugopal,K. C. Srikantaiah,Sejal Santosh Ni Book 2020 Springer Nature Singapore Pte Ltd. 2020 Web reco

[復(fù)制鏈接]
樓主: 猛烈抨擊
41#
發(fā)表于 2025-3-28 17:45:37 | 只看該作者
Automatic Discovery and Ranking of Synonyms for Search Keywords in the Web,his scalable technique can be applied to online data on the dynamic, domain-independent and unstructured World Wide Web. The candidate synonyms are ranked using Co-occurrence Frequencies and various page count based measures. The experimental results show that the best results are obtained using the proposed algorithm with WebJaccard.
42#
發(fā)表于 2025-3-28 20:16:43 | 只看該作者
Web Page Recommendations Based Web Navigation Prediction,r than the traditional method which uses 30 min as default time-out. The proposed method uses standard benchmark datasets to analyse and compare our framework with two-tier prediction framework. Simulation results show that our generated classifier framework WNPWR outperforms two-tier prediction framework in prediction accuracy and time.
43#
發(fā)表于 2025-3-29 00:54:32 | 只看該作者
Web Page Recommendations Based Web Navigation Prediction,r than the traditional method which uses 30 min as default time-out. The proposed method uses standard benchmark datasets to analyse and compare our framework with two-tier prediction framework. Simulation results show that our generated classifier framework WNPWR outperforms two-tier prediction framework in prediction accuracy and time.
44#
發(fā)表于 2025-3-29 04:16:23 | 只看該作者
45#
發(fā)表于 2025-3-29 08:07:40 | 只看該作者
Advertisement Recommendations Using Expectation Maximization,chnique is used to learn hidden topics from the vocabulary. Least Absolute Shrinkage and Selection Operator (LASSO) is used to predict total number of conversions. Experiment results show that PCAEM model outperforms TopicMachine model by reducing Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) for prediction.
46#
發(fā)表于 2025-3-29 13:37:31 | 只看該作者
Web Data Extraction and Integration System for Search Engine Results,arch engines help us to narrow down the search in the form of Search Engine Result Pages (SERP). Web Content Mining is one of the techniques that help users to extract useful information from these SERPs. In this chapter, we propose two similarity-based mechanisms; Web Data Extraction using Similari
47#
發(fā)表于 2025-3-29 19:36:29 | 只看該作者
48#
發(fā)表于 2025-3-29 22:52:13 | 只看該作者
Mining and Cyclic Behaviour Analysis of Web Sequential Patterns,hat helps us to mine useful behavioural patterns and draw conclusions from them after careful analysis. Efficient Web pattern mining is a challenge taking into consideration the enormous quantities of raw Web log data and explosive growth of information in the Web. In this chapter, we propose a nove
49#
發(fā)表于 2025-3-30 01:45:47 | 只看該作者
50#
發(fā)表于 2025-3-30 06:29:05 | 只看該作者
 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(ài)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(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 06:04
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
青岛市| 微山县| 阿拉善盟| 江城| 德庆县| 安徽省| 津市市| 容城县| 杨浦区| 汪清县| 荣成市| 安阳县| 炎陵县| 潮安县| 新泰市| 黄骅市| 东阳市| 页游| 黔西| 高要市| 牡丹江市| 哈密市| 贵定县| 即墨市| 广灵县| 道孚县| 滕州市| 高要市| 宁蒗| 积石山| 电白县| 白玉县| 岚皋县| 上虞市| 蓬安县| 合阳县| 特克斯县| 克拉玛依市| 疏附县| 宜兰县| 武隆县|