Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Proceedings of OSSYM 2023 (in Print)
Publication status	Published - 2023
Event	5th International Open Search Symposium: OSSYM 2023 - CERN, Geneva, Switzerland Duration: 4 Oct 2023 → 6 Oct 2023 https://opensearchfoundation.org/en/events-osf/5th-international-open-search-symposium-ossym2023/

Conference	5th International Open Search Symposium
Abbreviated title	OSSYM 2023
Country/Territory	Switzerland
City	Geneva
Period	4/10/23 → 6/10/23
Internet address	https://opensearchfoundation.org/en/events-osf/5th-international-open-search-symposium-ossym2023/

Cite this

@inproceedings{b234ace69d0f413b9e6e7bb413e9c531,

title = "Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization",

author = "Igor Jakovljevic and Andreas Wagner and Christian G{\"u}tl",

year = "2023",

language = "English",

booktitle = "Proceedings of OSSYM 2023 (in Print)",

note = "5th International Open Search Symposium : OSSYM 2023, OSSYM 2023 ; Conference date: 04-10-2023 Through 06-10-2023",

url = "https://opensearchfoundation.org/en/events-osf/5th-international-open-search-symposium-ossym2023/",

}

TY - GEN

T1 - Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization

AU - Jakovljevic, Igor

AU - Wagner, Andreas

AU - Gütl, Christian

PY - 2023

Y1 - 2023

M3 - Conference paper

BT - Proceedings of OSSYM 2023 (in Print)

T2 - 5th International Open Search Symposium

Y2 - 4 October 2023 through 6 October 2023

ER -