[CT4100]: Week 1 lecture notes + slides
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\pagenumbering{arabic}
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\section{Introduction}
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\subsection{Lecturer Contact Details}
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\begin{itemize}
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\item Colm O'Riordan.
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\item \href{mailto://colm.oriordan@universityofgalway.ie}{\texttt{colm.oriordan@universityofgalway.ie}}.
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\end{itemize}
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\subsection{Motivations}
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\begin{itemize}
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\item To study/analyse techniques to deal suitably with the large amounts (\& types) of information.
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\item Emphasis on research \& practice in Information Retrieval.
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\end{itemize}
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\subsection{Related Fields}
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\begin{itemize}
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\item Artificial Intelligence.
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\item Database \& Information Systems.
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\item Algorithms.
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\item Human-Computer Interaction.
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\end{itemize}
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\subsection{Recommended Texts}
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\begin{itemize}
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\item \textit{Modern Information Retrieval} -- Riberio-Neto \& Baeza-Yates (several copies in library).
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\item \textit{Information Retrieval} -- Grossman.
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\item \textit{Introduction to Information Retrieval} -- Christopher Manning.
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\item Extra resources such as research papers will be recommended as extra reading.
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\end{itemize}
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\subsection{Grading}
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\begin{itemize}
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\item Exam: 70\%.
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\item Assignment 1: 30\%.
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\item Assignment 2: 30\%.
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\end{itemize}
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There will be exercise sheets posted for most lecturers; these are not mandatory and are intended as a study aid.
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\subsection{Introduction to Information Retrieval}
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\textbf{Information Retrieval (IR)} deals with identifying relevant information based on users' information needs, e.g.
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web search engines, digital libraries, \& recommender systems.
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It is finding material (usually documents) of an unstructured nature that satisfies an information need within large
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collections (usually stored on computers).
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\end{document}
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