检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

3 篇 会议

馆藏范围

3 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2 篇 工学
- 2 篇 计算机科学与技术...
- 1 篇 机械工程
- 1 篇 信息与通信工程

主题

3 篇 sparse matrix pr...
2 篇 improved collabo...
2 篇 filtering system...
1 篇 cold start
1 篇 recommendation
1 篇 short-term inter...
1 篇 location

机构

1 篇 college of compu...
1 篇 east china norma...
1 篇 zhejiang gongsha...
1 篇 east china norma...

作者

1 篇 wang zhongzhu
1 篇 dang yang
1 篇 liu xianzhong
1 篇 ge yujia
1 篇 bai lijun
1 篇 lijun bai
1 篇 yujia ge

语言

3 篇 英文

检索条件"主题词=Sparse Matrix Problem"

共 3 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Design of Outdoor Recommendation Algorithm Based on User Location 2

Design of Outdoor Recommendation Algorithm Based on User Loc...

引用

2nd IEEE International Conference on Computer and Communications (ICCC)

作者： Dang, Yang Wang, Zhongzhu Liu, Xianzhong East China Normal Univ Sch Comp Sci & Software Engn Shanghai Peoples R China East China Normal Univ Sch Comp Sci & Software Engn Software Hardware Codesign Engn Res Ctr MoE Shanghai Peoples R China

ISBN: (纸本)9781467390262

Nowaday, the rapid popularization of mobile terminals and increasing maturity of location technology are bringing new opportunities and challenges to recommendation systems. Recommendation systems need to consider user's mobility and the resulting related issues, such as the relationship between user's interests and locations, and the requirement of real-time. The problems which facing are more complex. Besides, if making good use of user's location information, can improve the performance of recommendation. In this paper, an outdoor recommendation algorithm based on user's location is proposed. When user is in a different position, using different recommendation algorithms to generate recommendations, it overcomes the cold start and sparse matrix problem which in traditional recommendation algorithms, and it also can alleviate the problem of capturing user's short-term interests in mobile environment. The experimental results show that the proposed algorithm is better than other traditional recommendation algorithms.

关键词： recommendation location cold start sparse matrix problem short-term interest

来源：评论

学校读者我要写书评

暂无评论

An Improved Architecture of Item-based Collaborative Filtering System for Chinese Texts

An Improved Architecture of Item-based Collaborative Filteri...

引用

10th IEEE International Conference on Computer-Aided Industrial Design and Conceptual Design

作者： Bai, Lijun Ge, Yujia Zhejiang Gongshang Univ Coll Comp & Informat Engn Hangzhou 310018 Zhejiang Peoples R China

ISBN: (纸本)9781424452675

Chinese papers have become a major resource fir Chinese researchers to learn about the status of their fields. Information filtering technique can help people to find useful information among these resources online. An efficient information filtering approach is needed to prioritize Chinese papers so that Chinese researchers can spend less time searching for papers of their interest. Since traditional collaborative filtering algorithm has the problems of sparse matrix and low accuracy, which will influence the results of prediction. This paper presents the architecture for Chinese texts filtering. An algorithm based on the similarity of information items is also proposed. It can solve the sparse matrix problem and improve the efficiency of prediction. Preliminary experiment shows the efficiency of this algorithm.

关键词： Improved Collaborative Filtering Filtering System Architecture sparse matrix problem

来源：评论

学校读者我要写书评

暂无评论

An Improved Architecture of Item-based Collaborative Filtering System for Chinese Texts

An Improved Architecture of Item-based Collaborative Filteri...

引用

2009 IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design(2009 IEEE 第十届国际计算机辅助工业设计与概念设计学术会议 CAID&CD'2009)

作者： Lijun Bai Yujia Ge College of Computer & Information Engineering Zhejiang Gongshang University Hangzhou Zhejiang 310018 China

Chinese papers have become a major resource for Chinese researchers to learn about the status of their *** filtering technique can help people to find useful information among these resources online. An efficient information filtering approach is needed to prioritize Chinese papers so that Chinese researchers can spend less time searching for papers of their interest. Since traditional collaborative filtering algorithm has the problems of sparse matrix and low accuracy, which will influence the results of prediction. This paper presents the architecture for Chinese texts filtering. An algorithm based on the similarity of information items is also proposed. It can solve the sparse matrix problem and improve the efficiency of prediction. Preliminary experiment shows the efficiency of this algorithm.

关键词： Improved Collaborative Filtering Filtering System Architecture sparse matrix problem

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：