The School of Computer Science at the University of Windsor presents...
Presenter: – Zahra Taherikhonakdar
Date: Tuesday, February 13th 2024
Time: 3:30 pm – 4:30 pm
Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Abstract:
Information Retrieval (IR) is finding material (usually documents) of (an untrusted nature (usually text) that satisfies an information need from within a large collection. These days we frequently think first of web search, but there are many other cases: web search, searching your laptop, corporate knowledge bases, 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, for example, 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 that is represented by information in a content collection or database. User queries are matched against the database information. However, as opposed to classical SQL queries of a database, in information retrieval, the results returned may or may not match the query, so results are typically ranked. This ranking of results is a key difference of information retrieval searching compared to database searching.
Workshop Outline:
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Introduction IR
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Explaining the structure of data
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The search models
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Introduction to indexing
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Inverted Index
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Query processing
Prerequisites:
Computer Science knowledge
Biography:
Zahra is a PhD student at the University of Windsor. My research is in the area of Information Retrieval. Particularly My research is about how to improve query refinement as a technique to make search engines retrieve the most related documents based on users’ initial query.