CPEG/ELEG 457/657: Search and Data Mining (Spring 2019)
Time & Place: MWF 9:05-9:55am, MEM 123
- Welcome to the class!
- Future annoucements, assignments and lecture notes will be available at Canvas !
- Time: MWF 9:05-9:55am
- Place: MEM123
- Instructor: Hui Fang (hfang AT udel.edu)
- Office: 201B Evans Hall
- Office hours: by appointment
- TA: Kuang Lu (lukuang AT udel.edu)
- Office: 209 Evans Hall
- Office hours: 4:00pm-5:00pm on Wednesdays or by appointment
With the increasing amount of textual information, it is important to develop effective search engines, such as Google, to help users manage and exploit the information. The course is designed to give students a broad view of information retrieval and to give students hands-on experience to solve real world problems in the area of information retrieval and text mining.
Students should come with GOOD programming skills.
- Preferred: Text Data Management and Analysis: A Practical Introduction
to Information Retrieval and Text Mining, by ChengXiang Zhai and Sean Massung.
- Optional: Introduction to Information Retrieval, by Christopher D. Manning, Prabhakar Raghavan and Hinrich Schutze. Available free online
( link ).
Regrade requests should be submitted in writing within one week after the assignment or exam in question is returned.
- Class participation: 15%
- Assignments: 25%
- Midterm exams: 20%
- Course Project: 40%
Late Assignment Policy
Late submissions will be penalized on an hourly scheme.
Up to 6 hour late, -15%
Up to 12 hours late, -40%
Up to 18 hours late, -70%
Zero grade after 24 hours
- Overview and Background
- Basic probability and statistics
- Basic Information theory
- Basic Natural Language Processing
- Retrieval models
- Web search
- Link Analysis
- Learning to rank
- Word Association Mining
- Text Categorization
- Text Clustering
- Probabilistic Topic Modeling