Lecture Notes || SNS Courseware

Subject Details

Dept : AIDS

Sem : 7

Regul : 2019

Faculty : Sowmiya.R

phone : NIL

E-mail : sowmiya.r.ad@snsce.ac.in

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Lecture Notes

UNIT 1:

Overview of Information Retrieval

Retrieval Models

Recommender system functions

Search and Filtering Techniques and Relevant Feedback

Understanding Ratings

Issues with Recommender systems

Applications of Recommendation systems

Matrix Operations

User Profiles

Covariance Matrices

UNIT 2:

Advantages and drawbacks of content based filtering

Discovering Features of documents

Preprocessing and Feature Extraction

Methods for learning user profiles

Similarity based Retrieval

Classification algorithms

High level architecture of content based systems

Item profiles

Obtaining Item features from tags

UNIT 3:

Item based Recommendation

User based Recommendation

Model based approaches

Matrix Factorization

Attacks on collaborative recommender systems

UNIT 4:

Opportunities for hybridization

Monolithic hybridization design: Feature combination

Limitatons of hybridization strategies

UNIT 5:

Evaluation designs

Introduction

General properties of evaluation research

Evaluation on historical datasets

Offline evaluations

Announcements

Recent Files

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