Lecture Notes || SNS Courseware

Subject Details

Dept : AIDS

Sem : 7

Regul : 2019

Faculty : Pavithraa. S

phone : 9677714762

E-mail : dt06

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Lecture Notes

UNIT 1:

MATRIX OPERATION

INFORMATION RETRIVAL

RETRIVEL MODEL

Recommender system functions

SEARCH AND RELAVANCE FILTERING

Issues with a recommender system

Applications of recommendation systems

UNIT 2:

CONTENT-BASED FILTERING

High-level architecture of content-based systems

Advantages, and drawbacks of content-based filtering

Itemprofiles

Discovering features of documents

Processing and feature extraction

Obtaining item features from tags

Similarity-based retrieval

Classification algorithms

UNIT 3:

User-based recommendation

Item-based recommendation

Matrix factorization

Attackson collaborative recommender systems

Lecture Notes