检索结果-南通市图书馆

第六届全国信息检索学术会议

作者：蔡黎赵军 Institute of Automation Chinese Academy of Sciences

We report on a research that was undertaken to better identify users’ goals behind web search queries by mining click through *** methods has not taken the feature of uniform resource locator(URL) from the click through data into the ***,we propose two novel features extracted from the URL of the click through *** the performance of combining different features is *** experiment show that our methods exceed the traditional ones using click through data.

关键词： user intent URL queries click through data

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

AMachine Learning Approach to user Profiling for Data Annotation of Online Behavior

引用

Computers, Materials & Continua 2024年第2期78卷 2419-2440页

作者： Moona Kanwal Najeed AKhan Aftab A.Khan Computer Science and Information Technology Department NED University of Engineering and TechnologyKarachiPakistan Computer Engineering Department Sir Syed University of Engineering and TechnologyKarachiPakistan College of Education Health and Human ServicesLongwood UniversityFarmvilleVAUSA

The user’s intent to seek online information has been an active area of research in user *** profiling considers user characteristics,behaviors,activities,and preferences to sketch user intentions,interests,and *** user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content *** user’s complete online experience in seeking information is a blend of activities such as searching,verifying,and sharing it on social ***,a combination of multiple behaviors in profiling users has yet to be *** research takes a novel approach and explores user intent types based on multidimensional online behavior in information *** research explores information search,verification,and dissemination behavior and identifies diverse types of users based on their online engagement using machine *** research proposes a generic user profile template that explains the user characteristics based on the internet experience and uses it as ground truth for data *** feedback is based on online behavior and practices collected by using a survey *** participants include both males and females from different occupation sectors and different *** data collected is subject to feature engineering,and the significant features are presented to unsupervised machine learning methods to identify user intent classes or profiles and their *** techniques are evaluated,and the K-Mean clustering method successfully generates five user groups observing different user characteristics with an average silhouette of 0.36 and a distortion score of *** average is computed to identify user intent type *** user intent classes are then further generalized to create a user intent template with an Inter-Rater Reliability of 75%.This research successfully extracts different user types based on th

关键词： user intent cluster user profile online search information sharing user behavior search reasons

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

BERT for Conversational Question Answering Systems Using Semantic Similarity Estimation

引用

Computers, Materials & Continua 2022年第3期70卷 4763-4780页

作者： Abdulaziz Al-Besher Kailash Kumar M.Sangeetha Tinashe Butsa College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Kingdom of Saudi Arabia Department of Information Technology SRMInstitute of Science and TechnologyKattankulathurIndia Department of Information Technology Harare Institute of TechnologyBelvedereHarare

Most of the questions from users lack the context needed to thoroughly understand the problemat hand,thus making the questions impossible to *** Similarity Estimation is based on relating user’s questions to the context from previous Conversational Search Systems(CSS)to provide answers without requesting the user’s *** imposes constraints on the time needed to produce an answer for the *** proposed model enables the use of contextual data associated with previous Conversational Searches(CS).While receiving a question in a new conversational search,the model determines the question that refers tomore *** then infers past contextual data related to the given question and predicts an answer based on the context inferred without engaging in multi-turn interactions or requesting additional data from the user for *** model shows the ability to use the limited information in user queries for best context inferences based on Closed-Domain-based CS and Bidirectional Encoder Representations from Transformers for textual representations.

关键词： Semantic similarity estimation conversational search multi-turn interactions context inference BERT user intent

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

查询推荐研究综述

引用

图书馆学情报学 2019年第8期

作者：张晓娟彭琳李倩

查询推荐是一种提高用户搜索效率的重要技术，其核心任务是帮助用户构造有效查询并以此准确描述用户信息需求。作为当今搜索引擎的核心技术之一，查询推荐吸引了学术界和工业界的广泛关注，一直以来都是信息检索领域中重要的研究主题。... 详细信息

查询推荐是一种提高用户搜索效率的重要技术，其核心任务是帮助用户构造有效查询并以此准确描述用户信息需求。作为当今搜索引擎的核心技术之一，查询推荐吸引了学术界和工业界的广泛关注，一直以来都是信息检索领域中重要的研究主题。本文以国内外会议、期刊发表的有关查询推荐研究的文献为对象，利用归纳总结方法，首先详细梳理了查询推荐中主流方法——基于简单共现信息的方法、基于图模型的方法以及融合多种信息的方法，然后总结评述了评测方法与指标，最后分析了未来可能的研究方向。

关键词：查询推荐查询用户意图查询会话 Query suggestion Query user intent Query session

来源：人大复印报刊资料评论

在线全文

人大复印报刊资料

学校读者我要写书评

暂无评论

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

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：