Machine Learning Summer School 2006 - Canberra

Information Retrieval and Text Mining

author: Thomas Hofmann, Brown University

Description

This four hour course will provide an overview of applications of machine learning and statistics to problems in information retrieval and text mining. More specifically, it will cover tasks like document categorization, concept-based information retrieval, question-answering, topic detection and document clustering, information extraction, and recommender systems. The emphasis is on showing how machine learning techniques can help to automatically organize content and to provide efficient access to information in textual form.

Categories

Top: Computer Science: Text Mining
Top: Computer Science: Information Retrieval

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*Slides*
0:00	Machine Learning in Information Retrieval
1:22	motivation & overview
1:28	a brief history of the library
2:18	digital information repositories
3:23	memex
4:27	search as a principle & problem
6:26	information retrieval
8:04	machine learning in information retrieval
9:30	overview
10:53	unsupervised learning in IR
10:58	information retrieval basics
11:01	searching & finding
12:32	document indexing
13:42	document indexing: questions and challenges

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