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: User Modeling, Adaptation, and Personalization; 20th International C Judith Masthoff,Bamshad Mobasher,Roger Nkambou Conference proceedings

[復(fù)制鏈接]
樓主: 不服從
51#
發(fā)表于 2025-3-30 09:22:28 | 只看該作者
52#
發(fā)表于 2025-3-30 14:45:58 | 只看該作者
Models of User Engagemento derive effectively simple models of user engagement, for example, accounting for user types and temporal aspects. This paper provides initial insights into engagement patterns, allowing for a better understanding of the important characteristics of how users repeatedly interact with a service or group of services.
53#
發(fā)表于 2025-3-30 19:47:11 | 只看該作者
54#
發(fā)表于 2025-3-30 22:56:16 | 只看該作者
Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networkss valuable resources and means to satisfy information needs. The challenge with information seeking through social networks is that their immense success and popularity is also a weakness. The data deluge facing users has surpassed comfortably managed levels and can impact on the quality and relevan
55#
發(fā)表于 2025-3-31 02:51:03 | 只看該作者
Realistic Simulation of Museum Visitors’ Movements as a Tool for Assessing Sensor-Based User Modelstions are (1)?models to simulate noisy visit trajectories as time-stamped sequences of (.,.)?positional coordinates which reflect . and . behaviour; (2)?a discriminative inference model that distinguishes between hovering and walking on the basis of (simulated) noisy sensor observations; (3)?a model
56#
發(fā)表于 2025-3-31 07:18:53 | 只看該作者
GECKOmmender: Personalised Theme and Tour Recommendations for Museumsrovided by visitors for seen exhibits are used to predict ratings for unvisited exhibits. The predicted ratings in turn form the basis for recommendations. These recommendations are presented in one of three display modes: .– stars on the site map, .– colours from green to red that indicate the inte
57#
發(fā)表于 2025-3-31 09:24:22 | 只看該作者
Property-Based Interest Propagation in Ontology-Based User Model the ontology. Starting from initial user feedback on an object, we calculate user interest in this particular object and its properties and further propagate user interest to other objects in the ontology, similar or related to the initial object. The similarity and relatedness of objects depends o
58#
發(fā)表于 2025-3-31 17:09:23 | 只看該作者
59#
發(fā)表于 2025-3-31 19:20:01 | 只看該作者
60#
發(fā)表于 2025-3-31 23:53:27 | 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-23 13:30
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
墨竹工卡县| 梁河县| 蕲春县| 凌源市| 临西县| 安福县| 雷波县| 外汇| 南汇区| 那曲县| 平和县| 武汉市| 专栏| 呈贡县| 如皋市| 东兰县| 涿鹿县| 桃园县| 尤溪县| 博客| 贵阳市| 壶关县| 龙胜| 哈尔滨市| 托克托县| 靖边县| 雅安市| 克拉玛依市| 金湖县| 焉耆| 石景山区| 古交市| 金川县| 淮北市| 新邵县| 武宁县| 黔江区| 酒泉市| 界首市| 潼南县| 穆棱市|