Emre Kiciman

 

I am a researcher in the Internet Services Research Center at Microsoft Research.

 

My interests are in using social data to help people find what they want and need.  To this end, I use data from social networks to better understand people and their intents, to support exploration of relevant information, and to directly answer questions.  My work involves information extraction from social data, including entity recognition, higher-level analyses, and infrastructure building, as well as more fundamental work to understand and characterize the biases inherent in social media.

 

My previous research interests include JavaScript application monitoring and optimization, as well as improving the reliability of Internet services architectures and operations. I earned a Ph.D. and M.S. in computer science from Stanford University, and a B.S. in Electrical Engineering and Computer Science from U.C. Berkeley.

 

 


 

What's New

  • On April 30th, I gave a two-session tutorial on Analyzing Social Media Systems at CHI-2013.  [Slides]
  • On December 17th, we put out the call for papers for ICWSM-13. The deadline for full papers is February 15th, with abstract registration on Feb 11th.  I'm happy to be helping organize the conference this year as general chair.
  • On December 5th, I gave a talk at UCSB Computer Science Department's colloquium.
Older news ▼

 

Projects

My current projects focus on mining new kinds of information about the world from social media, and using social network data for search ranking. 

See my recent talks at Rutgers and UC Berkeley for an overview of my work on mining social media.


 

Past social network-related projects

KISS: On the systems-side, I'm also collaborating with Bimal Viswanath (MPI-SWS), Stefan Saroiu (MSR), and Krishna Gummadi (MPI-SWS) on the "Keeping Information Safe from Social networking apps" project. We call it KISS for short. To protect the privacy of user data from untrusted 3rd-parties, we're building a practical system for cloud hosting of social networking apps that enforces strong limits on how data is used.

U Rank, a search engine front end to support light-weight search editing and sharing. U Rank was prototyped externally in October 2008. [readwriteweb|pcworld|seattlepi]

The Social Web Experience browser toolbar analyzes Web pages and finds related content from your social networks. Your friends' recent status updates and messages, favorite movies, interests, and other profile information are shown when its related to what you're seeing on the Web.  This project motivated our work on entity recognition in social media, now in use in several products at Microsoft.


 

Activities

Intl. Conf. on Weblogs and Social Media (ICWSM 2013), General Chair.

WWW 2013, Social Networks and Graph Analysis track, TPC.

WSDM 2012, PC; Intl. Conf. on Weblogs and Social Media (ICWSM 2011, 2012) PC; Workshop on Language in Social Media (LSM 2011, 2012) PC; Symp. on Cloud Computing (SOCC 2011) PC; Intl. Conf. on Dependable Systems and Networks (DSN 2010,2011) PC; Usenix Webapps (WebApps 2011, 2012) PC; Intl. Conf. on Autonomic Computing (ICAC 2008-2012) PC, PC Chair in 2010.

I also co-founded the SysML series of workshops (now SLAML) and taught a reading course at UW on applying machine learning techniques to systems problems. CSE 599N home page.

Recent Talks

UIUC DAIS Seminar, Oct 17th, 2012. "Querying Human Activities from Social Media Traces".  In this talk, I discuss bias and external influences on social media.

Rutgers Yahoo Data Science Seminar, Feb 22, 2012.  "Learning about the world through social media"

Berkeley Cloud Seminar, Feb 13, 2012.  "Learning about the world through social media"


 

Past systems-related projects

AjaxScope, aka AjaxView, is a tool that allows web app developers to efficiently monitor the real-world, in-browser behavior of their JavaScript code without special browser plugins or extensions. We have an SOSP paper about the project and released our research prototype. AjaxScope also became Visual Studio 2008 AJAX Profiling Extensions Power Tool (say that 3 times fast!).

Doloto is a system that analyzes application workloads and automatically performs code splitting of existing large Web 2.0 applications. Doloto improves page-load times for large complex web applications by 20-40%. See our FSE paper and download the prototype at DevLabs.

Internally, I've also worked on surveys of the architecture, operations and reliability of Microsoft's large-scale Internet services; and more recently our usage of social network data in search.

During my PhD, I worked on monitoring for high-level application faults in Internet services. I continued this work at MSR, with more of an end-to-end perspective, looking at wide-area network failures as well as web application challenges (e.g., AjaxScope).

A selection of my systems research papers

Emre Kıcıman and Ben Livshits, AjaxScope: A Platform for Remotely Monitoring the Client-side Behavior of Web 2.0 Applications, in the 21st ACM Symposium on Operating Systems Principles (SOSP'07), Association for Computing Machinery, Inc., October 2007

Benjamin Livshits and Emre Kıcıman, Doloto: Code Splitting for Network-Bound Web 2.0 Applications, in Foundations of Software Engineering (FSE), Association for Computing Machinery, Inc., November 2008

Chad Verbowski, Emre Kıcıman, Brad Daniels, Arunvijay Kumar, Yi-Min Wang, Roussi Roussev, Shan Lu, and Juhan Lee, Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management, in The 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI '06), USENIX, November 2006

Emre Kıcıman, Benjamin Livshits, Madanlal Musuvathi, and Kevin C. Webb, Fluxo: A System for Internet Service Programming by Non-expert Developers, in ACM Symposium on Cloud Computing, Association for Computing Machinery, Inc., 2010

Recent Publications

Stephen Guo, Ming-Wei Chang, and Emre Kiciman, To Link or Not to Link? A Study on End-to-End Tweet Entity Linking, in NAACL-HLT 2013, 10 June 2013

Yuzhe Jin, Kuansan Wang, and Emre Kıcıman, Sparse Lexical Representation for Semantic Entity Resolution, in ICASSP 2013, IEEE, 26 May 2013

Andres Monroy-Hernandez, danah boyd, Emre Kıcıman, Munmun De Choudhury, and Scott Counts, The New War Correspondents: The Rise of Civic Media Curation in Urban Warfare, in The 16th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), ACM, 23 February 2013

Chun-Kai Wang, Paul Hsu, Ming-Wei Chang, and Emre Kıcıman, Simple and Knowledge-intensive Generative Model for Named Entity Recognition, no. MSR-TR-2013-3, 4 January 2013

Huizhong Duan, Emre Kıcıman, and Chengxiang Zhai, Click Patterns: An Empirical Representation of Complex Query Intents, in 21st ACM International Conference on Information and Knowledge Management (CIKM 2012), ACM, 29 October 2012

Bimal Viswanath, Emre Kıcıman, and Stefan Saroiu, Keeping Information Safe from Social Networking Apps, in Proceedings of the Workshop on Online Social Networks (WOSN'12), ACM, 17 August 2012

Andres Monroy-Hernandez, Emre Kıcıman, danah boyd, and Scott Counts, Tweeting the Drug War: Empowerment, Intimidation, and Regulation in Social Media, in HCIC, , 25 June 2012

Andres Monroy-Hernandez, Emre Kıcıman, danah boyd, and Scott Counts, “Narcotweets”: Social Media in Wartime (poster paper), in The 6th Intl. Conference on Weblogs and Social Media (ICWSM), American Association for Artificial Intelligence , 4 June 2012

Emre Kıcıman, OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rates, in The 6th Intl. Conference on Weblogs and Social Media (ICWSM), American Association for Artificial Intelligence , 4 June 2012

All my publications...


 


 

Contact Info:

E-mail:  emrek@microsoft.com 
Post: 

Emre Kıcıman

Microsoft Corporation

One Microsoft Way

Redmond, WA  98052 

Office Phone: 

+1 (425) 705-3659