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CS 533

Information Retrieval Systems

Introduction to information storage and retrieval (IR). IR vs. DBMS. User perspective, search models, evaluation of IR systems. Formal IR models. Data structures and techniques including, inverted files, signature files, information filtering, clustering and cluster-based retrieval, hypertext and multimedia systems. IR and the Internet, browsing strategies, search engines, web robots and intelligent agents.

Credit3
ECTS5
BölümComputer Engineering
FacultyFaculty of Engineering

Hocalar 0 bu dönem · 2 geçmiş

Geçmişte ders veren (2 kişi)
Fazlı Can, David Davenport

→ STARS müfredatı / syllabus

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Geçmiş GPA dağılımı 18 dönem · ort. 3.48

DönemCourse CPA
2025-2026 Fall 3.65 1 sec · 11 öğr
2024-2025 Fall 3.51 1 sec · 24 öğr
2023-2024 Fall 3.43 1 sec · 20 öğr
2022-2023 Spring 3.41 1 sec · 10 öğr
2020-2021 Spring 3.05 1 sec · 21 öğr
2019-2020 Fall 3.60 1 sec · 16 öğr
2018-2019 Fall 3.39 1 sec · 22 öğr
2017-2018 Fall 3.56 1 sec · 17 öğr
2016-2017 Fall 3.82 1 sec · 17 öğr
2015-2016 Spring 3.47 1 sec · 21 öğr

Aggregate course GPA — Bilkent STARS'tan public data. Hoca-bazlı per-section detayı için STARS evaluation report →. Öğrenci anket cevapları KVKK kapsamında defter'de tutulmaz.

Müfredat detayı STARS syllabus

⚠️ FZ engelleyen şartlar

60% attendance to course lectures. Minimum 40 in the midterm exam.

📅 Haftalık müfredat

IR Systems Overview System Evaluation Different ways of calculating document by document similarity values to be used for clustering Clustering Methods and Their Implementation Cluster Validation (Cluster Purity, Rand's Coefficient, Yao's Formula) Stemming Automatic Indexing and Term Weighting Automatic Indexing, Term Weighting Term Discrimination Concept PAT Trees Inverted Files, Search Result Diversification Inverted vs. Signature Files Inverted vs. Signature Files Information Filtering Stance Detection and Some New Problems Related to Dynamic Data Stream Environments Student Project Presentation ECTS - Workload Table: Activities Number Hours Workload Report (including preparation and presentation if applicable) 1 10 10 Course hours 14 3 42 Preparation for Final exam 1 12 12 Preparation for Midterm exam 1 10 10 Homework 5 5 25 Final exam 1 2 2 Project (including preparation and presentation if applicable) 1 25 25 Individual or group work 14 2 28 Midterm exam 1 2 2 Total Workload: 156 Total Workload / 30: 156 / 30 5.2 ECTS Credits of the Course: 5 Type of Course: Solving Problems - Independent Studies - Lecture - Project - Research Paper - Seminar (where students are attendees) - Seminar (where students are presenters) Teaching Methods: Lecture - Assignments - Case studies - Independent study - Presentations