Instructor: Vagelis Hristidis
Lecture time: MW 11-12:20 pm
Location: MSE 003
Office hour: Monday 2-3 pm (WCH 317)
TA:
TA Office hours: Wednesdays 3-4 pm, WCH 110
Reader: Aswini Shilpha
25% quizzes (worst 2 quizzes will be discarded, MSOL students will have until the weekend to take the quiz; others will take the quiz during the lecture time)
25% midterm
15% assignment
35% project
Information Retrieval (IR) principles including indexing and searching document collections, Web search and advanced topics like deep learning and search in social networks.
Some of the topics which will be tentatively presented are:
Vector Model
Language Models
IR evaluation methods
Web search
MapReduce
Social networks search
Word embeddings, deep learning in IR
Assignment & project late submissions, submitted before assignments or projects are graded, will receive a 20% score reduction.
Free download at https://ciir.cs.umass.edu/downloads/SEIRiP.pdf
Search Engines: Information Retrieval in Practice
Bruce Croft, Donald Metzler, Trevor Strohman
Addison Wesley; 1st edition
ISBN-10: 0136072240
ISBN-13: 978-0136072249
http://www.search-engines-book.com/
Also recommended for reference:
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze , Introduction to Information Retrieval, Cambridge University Press. 2008.
Modern Information Retrieval the concepts and technology behind search
Hearst, M.A. Search User Interfaces, Cambridge University Press, September, 2009
Academic Integrity: https://conduct.ucr.edu/