Movie Recommendation using Collaborative Filtering

Aug 10, 2023

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Movie Recommendation using Collaborative Filtering

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Collaborative Filtering

Collaborative Filtering Qiang Yang HKUST Thanks: Sonny Chee Motivation Question: A user bought some products already what other products to recommend to a user? Collaborative Filtering (CF) Automates “circle of advisors”. + Example Which movie would Sammy watch next? Ratings 1--5

622 views • 13 slides

Collaborative Filtering

Collaborative Filtering Rong Jin Dept. of Computer Science and Engineering Michigan State University Information Filtering Basic filtering question: Will user U like item X ? Two different ways of answering it Look at what U likes  characterize X  content-based filtering

1.36k views • 74 slides

Collaborative Filtering

Collaborative Filtering. CMSC498K Survey Paper Presented by Hyoungtae Cho. Collaborative Filtering in our life. Collaborative Filtering in our life. Collaborative Filtering in our life. Motivation of Collaborative Filtering (CF).

342 views • 18 slides

Amazon.com Recommendation Item-to-Item Collaborative Filtering

Amazon.com Recommendation Item-to-Item Collaborative Filtering. Authors: Greg Linden, Brent Smith, and Jeremy York Origin: Jan/ Feb 2003 Published by the IEEE Computer Society Presented By: Ankita Khosla (ak12x) Date: April 10, 2014. Outline. Introduction Problems

850 views • 22 slides

Collaborative Filtering

Collaborative Filtering. Rong Jin Department of Computer Science and Engineering Michigan State University. Outline. Brief introduction information filtering Collaborative filtering Major issues in collaborative filtering Main methods for collaborative filtering

702 views • 33 slides

Item Based Collaborative Filtering Recommendation Algorithms

Item Based Collaborative Filtering Recommendation Algorithms. Week 7 - 2. Introduction. Recommender Systems – Apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services, usually during a live interaction

748 views • 32 slides

Collaborative Filtering

Collaborative Filtering. Agenda. Collaborative Filtering (CF) Pure CF approaches User-based nearest-neighbor The Pearson Correlation similarity measure Memory-based and model-based approaches Item-based nearest-neighbor The cosine similarity measure Data sparsity problems

914 views • 46 slides

Collaborative Filtering

Collaborative Filtering. Mustafa Cavdar Neslihan Bulut. Outline. Definition Problem Space Neighborhood based methods Experiments Weighting Possible Neighbors Selecting Neighborhoods Producing a Prediction Conclusions Future Work. Automated Collaborative Filtering.

375 views • 19 slides

Collaborative Filtering

Collaborative Filtering. Sue Yeon Syn September 21, 2005. Additional papers.

456 views • 31 slides

Collaborative Filtering Recommendation

Collaborative Filtering Recommendation. Reporter ： Ximeng Liu. Supervisor: Rongxing Lu. School of EEE, NTU. http://www.ntu.edu.sg/home/rxlu/seminars.htm.

412 views • 19 slides

Clustering-based Collaborative filtering for web page recommendation

Clustering-based Collaborative filtering for web page recommendation. CSCE 561 project Proposal Mohammad Amir Sharif mas4108@louisiana.edu. Presentation Outline. Introduction to Recommendation Systems Clustering based recommendation algorithm

559 views • 24 slides

Collaborative Filtering

Collaborative Filtering. What is collaborative filtering (CF) ?. The most popular technique for recommender system Making filtering decisions for an individual user based on the judgments of other users General Idea Given an active user u, find friends {u 1 , … , u m }

489 views • 21 slides

Collaborative Filtering

Collaborative Filtering. Rong Jin Dept. of Computer Science and Engineering Michigan State University. Information Filtering. Basic filtering question: Will user U like item X ? Two different ways of answering it Look at what U likes  characterize X  content-based filtering

1.04k views • 74 slides

Collaborative Filtering

Collaborative Filtering. Presented by; Ghulam Mujtaba MS CS, IBA, Karachi.

251 views • 7 slides

Collaborative Filtering

Collaborative Filtering. Presented By: Sadaf Baloch MS(SE). Introduction. Collaborative filtering is a method of : making automatic predictions /recommendations about the interests of a user by collecting taste information from many users The main idea is:

335 views • 8 slides

Collaborative Filtering

Collaborative Filtering. Todor Kalaydjiev Paul Rosania. What is it?. Recommendation system Discovers similarities between users Recommends based on preferences, not content Growing adoption Online retailing (e.g. Amazon) TV programming (e.g. TiVo). Why use it?.

226 views • 10 slides

Item-Based Collaborative Filtering Recommendation Algorithms

Item-Based Collaborative Filtering Recommendation Algorithms. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl GroupLens Research Group/ Army HPC Research Center Department of Computer Science and Engineering University of Minnesota, Minneapolis, 2001 2008. Nov. 05

457 views • 28 slides

Item Based Collaborative Filtering Recommendation Algorithms

Item Based Collaborative Filtering Recommendation Algorithms. Week 8. Introduction. Recommender Systems – Apply knowledge discovery techniques to the problem of making personalized recommendations for information, products or services, usually during a live interaction

504 views • 32 slides

Collaborative Filtering Recommendation

Collaborative Filtering Recommendation. Reporter ： Ximeng Liu. Supervisor: Rongxing Lu. School of EEE, NTU. http://www.ntu.edu.sg/home/rxlu/seminars.htm.

310 views • 19 slides

Collaborative Filtering:

Collaborative Filtering:. Tuck Siong Chung Roland Rust Michel Wedel Choice Conference 2007. Outline. Collaborative Filtering in Practice Ratings: Do they work? A Scalable Recommendation System. Collaborative Filtering.

247 views • 18 slides

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