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CS 54701 - Information Retrieval | ||||||||||||||||||
Credit Hours: 3.00. Basic principles and practical algorithms used for information retrieval and text mining: statistical characteristics of text, several important retrieval models, text categorization, recommendation system, clustering, federated text search, link analysis, etc. Typically offered Fall Spring.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture All Sections for this Course Offered By: College of Science Department: Computer Science Course Attributes: Upper Division May be offered at any of the following campuses: West Lafayette Continuing Ed West Lafayette Learning Outcomes: 1. Learn the theories and techniques behind Web search engines, E-commerce recommendation systems, etc. 2. Get hands on project experience by developing real-world applications, such as intelligent tools for improving search accuracy from user feedback, email spam detection, recommendation system, or scientific literature organization and mining. 3. Learn tools and techniques to do cutting-edge research in the area of information retrieval or text mining. Restrictions: Must be enrolled in one of the following Levels: Graduate Prerequisites: GR-CS 54701 Requisites General Requirements: ( Student Attribute: GR May not be taken concurrently. ) or ( Course or Test: CS 34800 Minimum Grade of D- May not be taken concurrently. and Course or Test: STAT 51100 Minimum Grade of D- May not be taken concurrently. ) Short Title: Information Retrieval Course Configurations:
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