Technical Workshop Series
Introduction to Information Retrieval (IR) Part 1 (2nd Offering)
Presenter: Zahra Taherikhonakdar
Date: Wednesday, June 12th, 2024
Time: 3:30 PM
Location: 4th Floor (Workshop Space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Reminder: This is a 2-part workshop. Please ensure you can attend both parts before registering (Part 2 will be held on Wednesday, June 26th, 2024 @ 3:30 pm). If you are registered for Part 1 (2nd Offering), you will be automatically registered for Part 2 (2nd Offering).
Abstract: Information Retrieval (IR) is finding material (usually documents) of (an untrusted nature (usually text) that satisfies an information need from within an extensive collection. These days, we frequently think of web search first, but there are many other cases: web search, searching your laptop, corporate knowledge bases, and legal information retrieval. An information retrieval process begins when a user or searcher enters a query into the system. Queries are formal statements of information needs, such as search strings in web search engines. In information retrieval, a query does not uniquely identify a single object in the collection. Instead, several objects may match the query, perhaps with different degrees of relevance.
An object is an entity represented by content collection or database information. User queries are matched against the database information. However, as opposed to classical SQL queries of a database, the results returned may or may not match the query in information retrieval, so results are typically ranked. This results ranking is a key difference between information retrieval and database searching.
Workshop Outline:
In this workshop, you will be introduced to IR:
- Explaining the structure of data
- The search models
- Introduction to indexing
- Inverted Index
- Query processing
Prerequisites:
Computer Science knowledge.
Biography:
Zahra is a PhD student at the University of Windsor. Her research is in the area of Information Retrieval, particularly about how to improve query refinement as a technique to make search engines retrieve the most related documents based on users’ initial query.
MAC STUDENTS ONLY - Register here
Note: MAC students must attend both parts to get 2 points (no points will be given if you only attend 1)