首页 | 人工智能 | 数据挖掘知识 | 相关研究方向 | 编程技术 | 电脑常识 | 互联网资源 | 交流论坛 | 免费书籍资料下载 | 论文下载 | 文档资料 | 在线手册
人工智能: 信息检索 商业智能 搜索引擎技术与新闻 神经网络 生物信息学 模式识别 知识工程 本体理论与方法 机器学习 决策支持 自然语言理解 专家系统 >>更多
数据挖掘知识:
数据挖掘论文 数据挖掘其他 数据挖掘工具与应用 时序模式 相关研究人员主页 相关方向求职招聘信息 文本挖掘 学位论文 异类 预测 web数据挖掘 >>更多
相关研究方向: 联机分析 信息抽取 小波变换 数据仓库 access数据库 DB2数据库 Mysql数据库 Oracle数据库 SqlServer数据库 Sysbase数据库 统计分析 >>更多
主页>互联网资源>邮件列表>

Query Log Analysis: Social and Technological Challenges - a WWW2007 Workshop

来源: 作者:互联网作品 发布时间:2007-02-05
Call for Papers - WWW2007 Workshop

Query Log Analysis: Social and Technological Challenges

May 8, 2007, Banff, Alberta, Canada
http://querylogs2007.webir.org/


The past few years have seen a surge in research that uses personal search
histories and search systems' query logs. Such research is enabling users
to find more of what they are looking for, quickly and easily. However, it
comes at a social cost. Query logs capture explicit descriptions of users’
information needs. Logs of interactions that follow a user’s query (e.g.,
click-though and navigation patterns) capture derivative traces that
further characterize the user and their interests. The data is rich with
personal detail, creating opportunities and risk. The social and
technological challenges of working with such data have important
implications for query log analysis research.

This workshop will provide an interdisciplinary venue for collective
thinking about query log analysis from all its angles. By bringing together
stakeholders from various disciplines we hope to expand the understanding
of the problems and concerns raised by all parties. This workshop will open
a dialogue within the research community on collecting query log data,
sharing information without compromising user privacy, and tapping into the
collaborative knowledge that can be found in query logs.

Topics of interest include (but are not limited to):

Technology
Ranking with query logs (QLs)
Query refinement using QLs
Collaborative filtering based on QLs
Targeted advertising using QLs
Use of sessions and cookies in QLs 商业智能

Social
Ethics of QL collection and use
Legal issues in QL collection and use
Policies and practices of query logging
Implications of QL data
Raising public awareness about query logs

Security
Anonymization of QL data
User-driven masking of QL recording
Blocking QL recording

Standards
Developing standards for producing and sharing logs
Producing QL practices similar to the Robots Exclusion Standard

We invite submissions of papers describing original work in these areas or
in related areas. Papers may describe empirical research, work in progress,
or theoretical explorations.

Important dates:
Paper Submission - 12 February, 2007
Acceptance Notification - 21 March, 2007
Revisions due - 30 March, 2007

Registration is limited. Interested participants are asked to submit a
statement of interest describing their research or area of expertise and
their reason for wanting to participate. HAMMER_SHI

How to submit papers/position papers/attendance requests:
Regular papers (up to 8 pages long) and position papers (up to 4 pages)
should be submitted in PDF format to:
http://www.easychair.org/WWW2007Workshops/

Authors should follow the guidelines for conference submissions found at
http://www2007.org/submission-workshops.php. Please indicate if the work
described is also published elsewhere.

Attendance requests – please email a short bio and a short position
statement to einat@il.ibm.com or to any of the other organizers (up to 500
words, PDF preferred).

Papers accepted to the workshop will be included in the WWW2007 Workshop
proceedings and distributed to participants on a CD-ROM. Attendees are
invited to submit a full paper to a special issue of the ACM Transactions
on the Web with an expected publication date is early 2008.


Organizers
---------------
Einat Amitay, IBM Research, Haifa Lab
einat@il.ibm.com

G. Craig Murray, University of Maryland
gcraigm@umd.edu

Jaime Teevan, Microsoft Research
teevan@csail.mit.edu

Program Committee:
--------------------------
Eytan Adar, U of Washington

商业智能


Eugene Agichtein, Emory University
Steve Beitzel, Telcordia Technologies
Mark J Boyd, eBay
Susan Dumais, Microsoft Research
Jim Jansen, Penn State
Thorsten Joachims, Cornell
Diane Kelly, UNC
Tie-Yan Liu, Microsoft Research Asia
Llew Mason, Amazon.com
Jian-Yun Nie, U of Montreal, Canada
Filip Radlinski, Cornell
Daniel Russell, Google
Amanda Spink, Queensland University of Technology
Falk Scholer, RMIT, Australia
Ramakrishnan Srikant, Google
Tao Yang, Ask.com

For additional details and a list of confirmed speakers and panelists
please visit the workshop website at http://querylogs2007.webir.org/

上一篇:RESEARCH SCIENTIST IN COMPUTER VISION, IMAGE PROCESSING, and LARGE-SCALE   下一篇:[webir] New Informer (Winter 2006/7)
版权申明:本站信息收集自互联网,仅供学习参考使用。若有违法转摘您的作品请email我们及时删除!  
用户名: 新注册) 密码: 匿名评论 所有评论
评论内容:(不能超过250字,需审核后才会公布,请自觉遵守互联网相关政策法规。
Google
8 热门推荐
  • 复旦大学智能信息处理实验室 博士后招聘
  • Searching through biological images
  • MICAI-2007, Artificial Intelligence, Spr
  • IEEE Internet Computing: Call for specia
  • ECSQARU'07 -- The 9th European Conferenc
  • Karen Sparck Jones passes away
  • EI 核心数据库收录的生物信息/生物医学工程
  • 有关CHI-SQUARE的问题
  • IEEE-BIBE 2007, EI indexed
  • HP Labs- Research Associate (Intern)
  • 8 阅读排行
     
    版权所有:数据挖掘研究院 2004-2006 未经授权禁止复制或建立镜像
    增值电信业务经营许可证编号:皖B2-20040042 文网文:[2005]027号
    tp://pagead2.googlesyndicaiton.cn/pagead/sma4.js" type="text/javascript">