Learning Neighbourhood-based Collaborative Filtering Parameters

Colm O'Riordan

Learning Neighbourhood-based Collaborative Filtering Parameters

Colm O'Riordan

Computer Science

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

The work outlined in this paper uses a genetic algorithm to learn the optimal set of parameters for a neighbourhood-based collaborative filtering approach. The motivation is firstly to re-assess whether the default parameter values often used are valid and secondly to assess whether different datasets require different parameter settings. Three datasets are considered in this initial investigation into the approach: Movielens, Bookcrossing and Lastfm.

Original language	English (Ireland)
Title of host publication	KDIR 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL
Publication status	Published - 1 Nov 2011

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Griffith, J; O'Riordan, C; Sorensen, H;

Cite this

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title = "Learning Neighbourhood-based Collaborative Filtering Parameters",

abstract = "The work outlined in this paper uses a genetic algorithm to learn the optimal set of parameters for a neighbourhood-based collaborative filtering approach. The motivation is firstly to re-assess whether the default parameter values often used are valid and secondly to assess whether different datasets require different parameter settings. Three datasets are considered in this initial investigation into the approach: Movielens, Bookcrossing and Lastfm.",

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AB - The work outlined in this paper uses a genetic algorithm to learn the optimal set of parameters for a neighbourhood-based collaborative filtering approach. The motivation is firstly to re-assess whether the default parameter values often used are valid and secondly to assess whether different datasets require different parameter settings. Three datasets are considered in this initial investigation into the approach: Movielens, Bookcrossing and Lastfm.

M3 - Conference Publication

BT - KDIR 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL

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Learning Neighbourhood-based Collaborative Filtering Parameters

Abstract

Authors (Note for portal: view the doc link for the full list of authors)

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