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Dept     : AIDS
Sem      : 7
Regul    : 2019
Faculty : Pavithraa. S
phone  : 9677714762
E-mail  : dt06
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  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:</br>CONTENT-BASED FILTERING, </br>High-level architecture of content-based systems, </br>Advantages, and drawbacks of content-based filtering, </br>Itemprofiles, </br>Discovering features of documents, </br>Processing and feature extraction, </br>Obtaining item features from tags, </br>Similarity-based retrieval, </br>Classification algorithms

  • Youtube Video

    Dear Students the Youtube Video has been uploaded for the following topics:</br>MATRIX OPERATION</br>OVERVIEW OF RECOMMENDER SYSTEMS

  • Resource Link

    Dear Students the Resource Link has been uploaded for the following topics:</br>What is Recommender System ? | Recommendation System and Matrix Factorization

  • Puzzles

    Dear Students the Puzzles has been uploaded for the following topics:</br>COLD START PROBLEM

  • Question Bank

    Dear Students the Question Bank has been uploaded for the following topics:</br>PREAMBLE QUESTIONS, </br>PREAMBLE QUESTIONS

  • Assignment

    Assignment topic is LEARNING USER PROFILES and due date is .

  • Question Bank

    Dear Students the Question Bank has been uploaded for the following topics:</br>2 MARKS, </br>13 MARKS, </br>14 MARKS

  • Assignment

    Assignment topic is ASSIGNMENT 1 and due date is .

  • Assignment

    Assignment topic is ASSIGNMENT 1 and due date is .

  • Assignment

    Assignment topic is ASSIGNMENT 1 and due date is .

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:</br>User-based recommendation, </br>Item-based recommendation, </br>Matrix factorization, </br>Attackson collaborative recommender systems

  • Lecture Notes

    Dear Students the Lecture Notes has been uploaded for the following topics:</br>RECOMMENDER SYSTEMS, </br>INFORMATION RETRIVAL, </br>RETRIVEL MODEL , </br>Recommender system functions, </br>SEARCH AND RELAVANCE FILTERING, </br>Issues with a recommender system, </br>Applications of recommendation systems, </br>MATRIX OPERATION