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Enhancing Information Retrieval for NCAA College Tennis Teams: A User-Centric Approach

This document outlines the methods for improving information retrieval (IR) focused on user needs, specifically targeting information regarding college tennis teams from USA universities that participate in the NCAA tournament. It emphasizes the importance of accurate document representation, keyword retrieval, and the ranking of relevant information. By establishing clear semantics and addressing common errors, this guide aims to provide a robust framework for effective IR strategies that prioritize user accessibility and understanding, driven by the advancements of the web and user-centered design.

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Enhancing Information Retrieval for NCAA College Tennis Teams: A User-Centric Approach

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Presentation Transcript

  1. Motivation • IR: representation, storage, organization of, and access to information items • Focus is on the user information need • User information need: • Find all docs containing information on college tennis teams which: (1) are maintained by a USA university and (2) participate in the NCAA tournament. • Emphasis is on the retrieval of information (not data)

  2. Motivation • Data retrieval • which docs contain a set of keywords? • Well defined semantics • a single erroneous object implies failure! • Information retrieval • information about a subject or topic • semantics is frequently loose • small errors are tolerated • IR system: • interpret contents of information items • generate a ranking which reflects relevance • notion of relevance is most important

  3. Motivation • IR at the center of the stage • IR in the last 20 years: • classification and categorization • systems and languages • user interfaces and visualization • Still, area was seen as of narrow interest • Advent of the Web changed this perception once and for all • universal repository of knowledge • free (low cost) universal access • no central editorial board • many problems though: IR seen as key to finding the solutions!

  4. Basic Concepts Retrieval Database Browsing • The User Task • Retrieval • information or data • purposeful • Browsing • glancing around • F1; cars, Le Mans, France, tourism

  5. structure Full text Index terms Basic Concepts • Logical view of the documents • Document representation viewed as a continuum: logical view of docs might shift Accents spacing Noun groups Manual indexing Docs stopwords stemming structure

  6. Text User Interface 4, 10 user need Text Text Operations 6, 7 logical view logical view Query Operations DB Manager Module Indexing user feedback 5 8 inverted file query Searching Index 8 retrieved docs Text Database Ranking ranked docs 2 The Retrieval Process

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