• URSA: User Reviews Structure Analysis
  • Over a Restaurant Review Data Set:
    Beyond the Stars: Improving Rating Predictions using Review Text Content, Gayatree Ganu, Noémie Elhadad, Amélie Marian, in Proceedings of the Twelfth International Workshop on the Web and Databases (WebDB 2009), 2009.
    Google Research Award for the proposal: "URSA: Understanding User Reviewing Patterns," joint with Noémie Elhadad, Columbia Bioinformatics.
     
• Data Corroboration:
  • Over Web Sources:
    Corroborating Answers from Multiple Web Sources, Minji Wu, Amélie Marian, in Proceedings of the Tenth International Workshop on the Web and Databases (WebDB 2007), 2007.
    Microsoft Live Labs Search Award for the research proposal "The Truth Is out There: Aggregating Answers From Multiple Web Sources."  (Feature story)
  • For Data Cleaning:
    Circumventing Data Quality Problems Using Multiple Join Paths, Yannis Kotidis, Amélie Marian, Divesh Srivastava, in Proceedings of the First International VLDB Workshop on Clean Databases (CleanDB), 2006.
     
• Semi-structured Data Scoring: Scoring mechanisms to rank (approximate) structural matches to semi-structured data queries, and efficient algorithms to identify the best structural matches.
  • In Personal Information Management Systems:
    Flexible Querying of Personal Information, Amélie Marian, Wei Wang,  IEEE Data Engineering Bulletin. 32(2): 20-27 (2009)
    Multi-Dimensional Search for Personal Information Management Systems, Christopher Peery, Wei Wang, Amélie Marian, Thu D. Nguyen, to appear in Proceedings of the 11^th International Conference on Extending Database Technology (EDBT'08), 2008.
    Fuzzy Multi-Dimensional Search in the Wayfinder File System, Christopher Peery, Wei Wang, Amélie Marian, Thu D. Nguyen, to appear in Proceedings of the 24th International Conference on Data Engineering (ICDE'08), 2008.
  • For XML Data:
    Structure and Content Scoring for XML, Sihem Amer-Yahia, Nick Koudas, Amélie Marian, Divesh Srivastava, David Toman,  in Proceedings of the 31st International Conference on Very Large Databases (VLDB '05), 2005.
     

Past projects:

• XML Projection a projection operator integrated in the Galax XQuery implementation project.
• XML Version Management: a change-centric model and diff tools (XyDiff) to identify and represent changes in XML documents.
• Top-k Query Processing: adaptive algorithms to efficiently identify a query's top-k matching objects, for different scenarios (multimedia, web services, XML).
  Further details available on our RANK project page.

Program Committee Member, 13th International Workshop on the Web and Databases (WebDB 2010)
Program Committee Member,Keyword Search on Structured Data (KEYS) Workshop 2010
Workshops Co-Chair, 19th International World Wide Web Conference (WWW 2010)
Co-Chair, Fourth International Workshop on Ranking in Databases (DBRank 2010) 
Publicity Chair, Third ACM International Conference on Web Search and Data Mining (WSDM 2010)
Program Committee Member,13th International Conference on Extending Database Technology (EDBT 2010)
Co-Chair, Very Large Databases (VLDB 2009) Ph.D. Workshop
Program Committee Member, 12th International Workshop on the Web and Databases (WebDB 2009) 

Biographical Sketch

Amélie Marian has been an Assistant Professor in the Computer Science Department at Rutgers University since September 2005. Her research interests are in top-k query processing, XML query optimization, and XML and web data management. Amélie received her Ph.D. in Computer Science from Columbia University in 2005. From March 1999 to August 2000, Amélie was a member of the VERSO project at INRIA-Rocquencourt. She received B.S. and M.S. degrees from Université Paris Dauphine, France in 1998 and 1999, respectively. She is the recipient of a Microsoft Live Labs Award (2006), a Google Research Award (2008) and an NSF CAREER award (2009).

Amelie Marian