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 Information Systems Engineering – WISE 2007; 8th International Co Boualem Benatallah,Fabio Casati,Claude Godart Conference proceedings

[復(fù)制鏈接]
樓主: ARSON
41#
發(fā)表于 2025-3-28 17:23:40 | 只看該作者
42#
發(fā)表于 2025-3-28 22:30:11 | 只看該作者
43#
發(fā)表于 2025-3-28 23:32:15 | 只看該作者
44#
發(fā)表于 2025-3-29 04:33:38 | 只看該作者
45#
發(fā)表于 2025-3-29 07:55:22 | 只看該作者
46#
發(fā)表于 2025-3-29 13:24:53 | 只看該作者
47#
發(fā)表于 2025-3-29 17:49:11 | 只看該作者
Similarity-Based Document Distribution for Efficient Distributed Information Retrieval are distributed among nodes in a manner that allows a query processing algorithm to efficiently direct queries to those nodes that contribute to the result. Existing term-based document distribution algorithms do not scale with large collection sizes or many-term queries because they incur heavy ne
48#
發(fā)表于 2025-3-29 23:33:41 | 只看該作者
Similarity-Based Document Distribution for Efficient Distributed Information Retrieval are distributed among nodes in a manner that allows a query processing algorithm to efficiently direct queries to those nodes that contribute to the result. Existing term-based document distribution algorithms do not scale with large collection sizes or many-term queries because they incur heavy ne
49#
發(fā)表于 2025-3-30 00:32:56 | 只看該作者
BEIRA: A Geo-semantic Clustering Method for Area Summarybeen widely used to search web contents. As LBC increase, browsing a number of LBC which are viewed as POI (point of interest) on a geographical map becomes inefficient. We tackle this issue by using AOI (area of interest) instead of POI. With the AOI a user can instantly find area characteristics w
50#
發(fā)表于 2025-3-30 05:58:41 | 只看該作者
BEIRA: A Geo-semantic Clustering Method for Area Summarybeen widely used to search web contents. As LBC increase, browsing a number of LBC which are viewed as POI (point of interest) on a geographical map becomes inefficient. We tackle this issue by using AOI (area of interest) instead of POI. With the AOI a user can instantly find area characteristics w
 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 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 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, 2025-10-12 08:55
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
宜兰市| 南昌市| 中西区| 铜山县| 漳州市| 贞丰县| 伊金霍洛旗| 繁昌县| 武山县| 湘潭市| 华蓥市| 扎赉特旗| 甘南县| 志丹县| 特克斯县| 乐安县| 平顺县| 南岸区| 万源市| 樟树市| 黄陵县| 嘉禾县| 岱山县| 阜新市| 昌都县| 新竹县| 攀枝花市| 耿马| 垫江县| 桃江县| 盐津县| 图木舒克市| 长宁县| 密山市| 垦利县| 夏邑县| 夹江县| 灵武市| 阳原县| 潼关县| 萨嘎县|