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

2 篇 会议

馆藏范围

2 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...

主题

2 篇 functional descr...
2 篇 mashup
2 篇 web api
2 篇 mashup-api inter...
1 篇 joint matrixfact...
1 篇 recommendation

机构

2 篇 hunan univ sci &...
1 篇 hnust hunan prov...
1 篇 hnust hunan prov...

作者

2 篇 kang guosheng
2 篇 zhang lihong
2 篇 chen qiqi
1 篇 zhou xiaokang
1 篇 chen wanjun
1 篇 shen jiexun
1 篇 cao buqing
1 篇 he jing
1 篇 liu jianxun
1 篇 nie yamei

语言

2 篇 英文

检索条件"主题词=Mashup-API interaction"

共 2 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：

Interactive Web api Recommendation via Exploring mashup-api interactions and Functional Description Documents 27

Interactive Web API Recommendation via Exploring Mashup-API ...

引用

27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

作者： Chen, Wanjun Chen, Qiqi Shen, Jiexun Kang, Guosheng Liu, Jianxun Cao, Buqing Zhang, Lihong Hunan Univ Sci & Technol Sch Comp Sci & Engn Xiangtan Peoples R China HNUST Hunan Prov Key Lab Serv Comp & Novel Software Xiangtan Peoples R China

ISBN: (纸本)9798350349184;9798350349191

With the advance of service computing technology, the number of Web apis has risen dramatically over the Internet. Users tend to use Web apis to achieve their business needs. However, it is difficult for users to find and select the desirable ones due to the plethora of Web apis. To address this problem, some collaborative filtering-based Web api recommendation methods have been proposed even though their performance is still far from satisfaction, since they only rely on mashup-api interactions and feature interactions are not considered in the recommendation model. To further improve the recommendation performance, this paper proposes an interactive Web api recommendation method via exploring both mashup-api interactions and functional description documents of mashups and Web apis. Specifically, LightGCN is employed to derive the node representations for the mashup-api interaction graph, and BERT model is used for the text representations of functional description documents. Furthermore, the two presentations of both the mashup and Web api are concatenated as the input of ANFM (Attentional Neural Factorization Machine) model, in which low and high-order feature interactions are fully modeled and the weights of feature interactions are trained by attention mechanism. Solid experiments are conducted over a real-world dataset and the experimental results indicate that the proposed method outperforms the baseline methods.

关键词： Web api mashup Functional description documents mashup-api interaction Recommendation

来源：评论

学校读者我要写书评

暂无评论

JMF-SS: Joint Matrix Factorization for Web api Recommendation with mashup-mashup Similarities and. api-api Similarities 27

JMF-SS: Joint Matrix Factorization for Web API Recommendatio...

引用

27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

作者： Zhang, Lihong He, Jing Nie, Yamei Zhou, Xiaokang Chen, Qiqi Kang, Guosheng Hunan Univ Sci & Technol Sch Comp Sci & Engn Xiangtan Peoples R China HNUST Hunan Prov Key Lab Serv Comp & Novel Software Tec Xiangtan Peoples R China

ISBN: (纸本)9798350349184;9798350349191

With the development of service computing technology, the number of publicly available Web apis online has increased dramatically. Developers tend to use Web apis to implement their software development requirements. However, due to the large number of Web apis, how to select the appropriate Web api from the huge resource library for mashup development has become a challenge. To solve this problem, some researchers have proposed Web api recommendation methods based on collaborative filtering or matrix factorization. However, the Web api recommendation performance is still limited due to the reliance on mashup-api interaction and the ignorance of mashup and Web api description documents. Moreover, the mashup-api interaction matrix is extremely sparse, resulting in low accuracy in matrix factorization and collaborative filtering. To further improve the recommendation performance, we propose a novel joint matrix factorization method for the mashup-api interaction matrix by incorporating the mashup-mashup similarity matrix and the api-api similarity matrix. A set of experiments are conducted on a real-world dataset, and the experimental results show that the proposed method outperforms the baselines.

关键词： Web api mashup functional description documents mashup-api interaction joint matrixfactorization

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：