👷 Introduction to Information Retrieval
Index compression, and scoring, term weighting and the vector space model 13. 3. 2024
Lecture
Readings
Index compression
Chapter 5 from the Introduction to Information Retrieval book by Manning et al. (2008)
Scoring, term weighting, and the vector space model
Chapter 6 from the Introduction to Information Retrieval book by Manning et al. (2008)
Scoring, term weighting, and the vector space model
Lecture slides for the CS 276 / LING 286: Information Retrieval and Web Search course taught at the Stanford University
Soft Cosine Similarity
A tutorial for computing the soft cosine similarity measure between two documents in Python.
Seminar
Index compression and scoring, term weighting, and the vector space model
Exercise solution for seminars in the fourth week
Index compression
Google Colaboratory code for seminars in the fourth week
Scoring, term weighting, and the vector space model
Google Colaboratory code for seminars in the fourth week
Whiteboard images
Images of the whiteboard (PV211 runs of 2021, 2022)
Scoring, term weighting, and the vector space model
Notes from the seminar 03 on week 4
First term project
Below, you can find the homework vaults for submitting the first term project.
First term project assignment
Google Colaboratory code for the first term project
First term project leaderboard
Google Spreadsheet leaderboard for the first term project
Gensim: Topic Modeling for Humans
Core Tutorials: New Users Start Here!
First term project (Cranfield)
Homework vault for the first term project (a ranked unsupervised retrieval system for Cranfield collection).