On Discovering Non-Obvious Recommendations: Using Unexpectedness and Neighborhood Selection Methods in Collaborative Filtering Systems

Panagiotis Adamopoulos

doi:10.1145/2556195.2556204

On Discovering Non-Obvious Recommendations: Using Unexpectedness and Neighborhood Selection Methods in Collaborative Filtering Systems

Panagiotis Adamopoulos

Information and Decision Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Scopus citations

Original language	English (US)
Title of host publication	7th ACM Conference on Web Search and Data Mining
Subtitle of host publication	WSDM 2014
Publisher	Association for Computing Machinery (ACM)
DOIs	https://doi.org/10.1145/2556195.2556204
State	Published - 2014

Keywords

Recommender Systems

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10.1145/2556195.2556204

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title = "On Discovering Non-Obvious Recommendations: Using Unexpectedness and Neighborhood Selection Methods in Collaborative Filtering Systems",

keywords = "Recommender Systems",

author = "Panagiotis Adamopoulos",

year = "2014",

doi = "10.1145/2556195.2556204",

language = "English (US)",

booktitle = "7th ACM Conference on Web Search and Data Mining",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

}

TY - GEN

T1 - On Discovering Non-Obvious Recommendations: Using Unexpectedness and Neighborhood Selection Methods in Collaborative Filtering Systems

AU - Adamopoulos, Panagiotis

PY - 2014

Y1 - 2014

KW - Recommender Systems

UR - http://people.stern.nyu.edu/padamopo/On%20Discovering%20non-Obvious%20Recommendations%20Using%20Unexpectedness%20and%20Neighborhood%20Selection%20Methods%20in%20Collaborative%20Filtering%20Systems.pdf

UR - http://scholar.google.com/citations?view_op=view_citation&user=aKeZJnUAAAAJ&citation_for_view=aKeZJnUAAAAJ:tOudhMTPpwUC

U2 - 10.1145/2556195.2556204

DO - 10.1145/2556195.2556204

M3 - Conference contribution

BT - 7th ACM Conference on Web Search and Data Mining

PB - Association for Computing Machinery (ACM)

ER -

On Discovering Non-Obvious Recommendations: Using Unexpectedness and Neighborhood Selection Methods in Collaborative Filtering Systems

Keywords

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