INF385T/CS395T: Topics in Information Retrieval and Web Search (Spring 2010)
The University of Texas at Austin

INF385T/CS395T: Topics in Information Retrieval and Web Search (Spring 2010)


Instructor: Matt Lease
Day and Time: Fridays 1-4pm
Location: UTA 1.208 in the iSchool.

Final Presentations

Schedule: Assignments, Readings, and Slides from in-class presentations

Restricted Course Information (UT EID Required)

  • Presenter assignments
  • Course blog (for posting critiques)
  • Project info: Datasets and Resources


Guidelines for assigning authorship of published research

  • National Academy of Sciencies: each author should substantially contribute to one or more aspects such as research design, research execution, tool development, data analysis, writing the paper, etc.
  • Wikipedia reference

Related courses at UT Austin

External IR information and resource pages

Shared Task Challenges

Course Description

In an Information Age promising instant access to seemingly limitless information, achieving this promise in practice requires effective automation for managing our vast and ever-growing information repositories. Information Retrieval (IR) is the study of methods for capturing, representing, storing, organizing, and retrieving unstructured or loosely structured digital information. While such information was once restricted to electronic documents, today's landscape of digital content is incredibly rich and diverse, including Web pages, news articles, books, transcribed speech, email, blogs (and micro-blogs), images, and video. The rise of the Web as a massive, global repository and distribution network has earned Web search engines and other Web technologies particular importance in organizing and finding information today.

This seminar course will provide a broad introduction to topics in IR via first-hand reading of published research articles. Weekly responsibilities will center on reading, summarizing, presenting, and discussing these articles. In particular, students will take turns presenting weekly readings to the class and answering questions during their presentation.

Prior knowledge of IR is not required but will certainly be useful. All interested and motivated students are invited to attend, and the breadth of readings and personalized final project are intended to serve the needs of those with particular interest in the field as well as non-specialists interested in gaining broader exposure and understanding of IR methods and systems.

Course Textbook

None required

Online Books

Other References