CS276 Information Retrieval and Web Search

Slides:



Advertisements
Similar presentations
Web Search and Mining Course Overview 1 Wu-Jun Li Department of Computer Science and Engineering Shanghai Jiao Tong University Lecture 0: Course Overview.
Advertisements

1-1 CMPT 225 Data Structures and Programming Instructor: Aaron Hunter Section: E300 Campus: Harbour Centre Semester: Spring 2007.
Welcome to MAT 142. Basic Course Information Instructor Office Office Hours Beth Jones PSA 725 Tuesday 10:30 am – 12 noon Thursday 10:30 am – 12 noon.
Logistics: –My office hours: T, Th 4-5pm or by appointment –Class Web page:
June 13, Introduction to CS II Data Structures Hongwei Xi Comp. Sci. Dept. Boston University.
Information Retrieval Concerned with the: Representation of Storage of Organization of, and Access to Information items.
Information Retrieval - Organization of the course Jian-Yun Nie 聂建云.
July 16, Introduction to CS II Data Structures Hongwei Xi Comp. Sci. Dept. Boston University.
Project Management Take a Tour of the Online Course.
ECE 284: Special Topics in Computer Engineering On-Chip Interconnection Networks Prof. Bill Lin Spring 2014.
CS6501 Information Retrieval Course Policy Hongning Wang
CS523 INFORMATION RETRIEVAL COURSE INTRODUCTION YÜCEL SAYGIN SABANCI UNIVERSITY.
1 CS 233 Data Structures and Algorithms 황승원 Fall 2010 CSE, POSTECH.
Administrative Issues ICS 151 Winter 2010 Instructor: Eli Bozorgzadeh.
Information Retrieval and Web Search Lecture 1. Course overview Instructor: Rada Mihalcea Class web page:
Course Overview for Web Computing J. H. Wang Sep. 19, 2011.
CMSC 671 Principles of Artificial Intelligence Course Overview Fall 2015.
470 First Lecture1 CMPT 470 Instructor: –Wo-Shun Luk, ASB 10829, –Office Hours: 3:30 – 4:30 M W F TA: –Henry Zhang,
ICS 6B Boolean Logic and Algebra Fall 2015
File Structures CIS 256 Chapter 0 Summer 2011 Dr. Ahmad Saifan.
ICS 6B Boolean Algebra and Logic Winter 2015
Introduction to Bioinformatics Biostatistics & Medical Informatics 576 Computer Sciences 576 Fall 2008 Colin Dewey Dept. of Biostatistics & Medical Informatics.
 hd.jpg hd.jpg Information Retrieval and Interaction.
Introduction to the Course Farrokh Alemi, Ph.D.. This course provides a managerial perspective on the effective use of data and information technology.
WorkRoles Responsi- bilities Instructors
Information Retrieval and Web Search Course overview Instructor: Rada Mihalcea.
ITIS 4510/5510 Web Mining Spring Overview Class hour 5:00 – 6:15pm, Tuesday & Thursday, Woodward Hall 135 Office hour 3:00 – 5:00pm, Tuesday, Woodward.
Formal Methods in System Design, Lec 2 University of Utah School of Computing Ganesh Gopalakrishnan, Instructor Greg Szubzda, half-TA
CSE 312 Foundations of Computing II Instructor: Pedro Domingos.
Information Retrieval CIS-462 Dr. Samir Tartir 2013/2014 First Semester.
Programming In Perl CSCI-2230 Wednesday, 4pm-5:50pm Paul Lalli - Instructor.
Document Architectures/ Language Programming 2 CS4146/CS4703 Nikola Nikolov (Nik) office: CS1-030; tel.: Best time.
Introduction & Course Overview CS 194H – User Experience Design Project January 10, 2017.
CSc 120 Introduction to Computer Programing II
Lecture 00: Introduction
CSE 390: Special Topics: Probability & Statistics for Data Science Lecture 1: Intro and Logistics Anshul Gandhi 347, New CS building
電腦圖學 Computer Graphic with Programming
Information Storage and Retrieval Fall Lecture 1: Introduction and History.
CS6501 Advanced Topics in Information Retrieval Course Policy
CMSC 471 Principles of Artificial Intelligence Course Overview
Introduction to Computing
CMSC 471 Introduction to Artificial Intelligence section 1 Course Overview Spring 2017.
Introduction to Statistical Signal Processing
IST 516 Introduction Fall 2011 Dongwon Lee, Ph.D..
CS598CXZ (CS510) Advanced Topics in Information Retrieval (Fall 2016)
A Survey of Renowned Novels and the Films Adapted from Them
Data Structures Algorithms: (Slides to be Adopted from Goodrich and aligned with Weiss' book) Instructor: Ganesh Ramakrishnan
Course Information and Introductions
CS 201 – Data Structures and Discrete Mathematics I
Special Topics in Data Mining Applications Focus on: Text Mining
Cpt S 471/571: Computational Genomics
Definition In simple terms, an algorithm is a series of instructions to solve a problem (complete a task) We focus on Deterministic Algorithms Under the.
CS 4700: Foundations of Artificial Intelligence
موضوع پروژه : بازیابی اطلاعات Information Retrieval
Introduction to CS II Data Structures
A Survey of Renowned Fiction and the Films Adapted from It
Midterm Evaluations Results from CELT
Taekyoung Kwon Logic Design Taekyoung Kwon
Lecture1: Introduction to IT322 Software Engineering I
Introduction to Programming in Java CRNs: 11497, 11498, 11499
Welcome to AOSC200: Weather and Climate Discussion
Exam Logistics Rationale #6
CS246: Web Information Systems -- Introduction
Neural Network Design and Application
Administrative Issues
Information Retrieval CIS-462
Web Search and Advanced Internet Services
Introduction Lecture 1 Wed, Jan 17, 2007.
Presentation transcript:

CS276 Information Retrieval and Web Search Christopher Manning and Pandu Nayak Lecture 1: Introduction

Course logistics in brief Instructors: Christopher Manning and Pandu Nayak TAs: Ashwin Paranjape (Head TA) Chris Chute Fei Jia Rohan Sampath Time: TuTh 4:30–5:50, Gates B01 ( SCPD video) Class webpage: http://cs276.stanford.edu/ Will have office hours, etc. (starting next week)

Work for the class Required work: Problem sets and assignments 3 programming assignments, 3rd one larger than first two: @ 13%, 13%, 20% = 46% Final exam: 30% Class participation: 4% 2% for (on-campus) attending guest lectures in person or (SCPD, unavoidable absences) writing reaction paragraph 2% for Piazza participation, mid-quarter survey completion, and/or being present and active in class Problem sets and assignments Due at: 4pm, either Tue (early in course) or Thu (later on) Assignments in Python this year

What do we hope to teach? How to do efficient (fast, compact) text indexing Retrieval models: Boolean, vector-space, probabilistic, and machine learning models Evaluation and IR interface issues Document clustering and classification Search on the web, including crawling, link-based algorithms, indirect feedback, metadata, and personalization