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Filtering by: Advisor Herlocker, Jonathan Resource Type Capstone Project Subject Computer algorithms

A collaborative filtering algorithm and evaluation metric that accurately model the user experience

Creator:

McLaughlin, Matthew

Abstract:

"Collaborative filtering algorithms’ performances have been evaluated using a variety of metrics. These metrics, such as Mean Absolute Error and Precision, have often ignored recommendations for which they do not have data. Ignoring these recommendations has provided numbers which do not accurately represent the user experience. Qualitatively we have seen...

Resource Type:

Capstone Project
Contributions to Collaborative Filtering Research

Creator:

Nong, Shuzhen

Abstract:

In this report, I first introduce three areas of interest to collaborative filtering researchers, namely: (a) how to solve the sparsity and scalability problems in recommendation systems; (b) how to rapidly develop and test collaborative filtering algorithms; and (c) how to apply collaborative filtering to unbounded numeric preference data. In...

Resource Type:

Capstone Project