CATS: A Synchronous Approach to Collaborative Group Recommendation

Kevin McCarthy; Maria Salamo; Lorcan Coyle; Lorraine McGinty; Barry Smyth; Paddy Nixon

CATS: A Synchronous Approach to Collaborative Group Recommendation

Kevin McCarthy, Maria Salamo, Lorcan Coyle, Lorraine McGinty, Barry Smyth, Paddy Nixon

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

Abstract

Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of users with potentially competing interests is challenging in itself. In addition to this we must consider how to record and combine the preferences of many different users as they engage in simultaneous recommendation dialogs. In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying the plan a skiing vacation. The system uses the DiamondTouch interactive tabletop to allow up to 4 users to simultaneously engage in parallel recommendation sessions and we describe how personal and shared profiles and interaction spaces can be managed to generate sets of recommendations for the individual as well as the group.

Original language	English
Title of host publication	Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)- Melbourne Beach, Florida
Editors	Geoff Sutcliffe, Randy Goebel
Place of Publication	United States
Publisher	AAAI Press
Pages	86-91
Number of pages	6
ISBN (Print)	9781577352617
Publication status	Published - 2006
Externally published	Yes
Event	19th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006) - Melbourne Beach, Florida, United States Duration: 11 May 2006 → 13 May 2006

Conference

Conference	19th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)
Abbreviated title	FLAIRS 2006
Country/Territory	United States
City	Florida
Period	11/05/06 → 13/05/06

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https://aaai.org/Papers/FLAIRS/2006/Flairs06-015.pdf

Cite this

McCarthy, K., Salamo, M., Coyle, L., McGinty, L., Smyth, B., & Nixon, P. (2006). CATS: A Synchronous Approach to Collaborative Group Recommendation. In G. Sutcliffe, & R. Goebel (Eds.), Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)- Melbourne Beach, Florida (pp. 86-91). AAAI Press. https://aaai.org/Papers/FLAIRS/2006/Flairs06-015.pdf

@inproceedings{37a4a4a7be85479abc665797c6efbdc0,

title = "CATS: A Synchronous Approach to Collaborative Group Recommendation",

abstract = "Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of users with potentially competing interests is challenging in itself. In addition to this we must consider how to record and combine the preferences of many different users as they engage in simultaneous recommendation dialogs. In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying the plan a skiing vacation. The system uses the DiamondTouch interactive tabletop to allow up to 4 users to simultaneously engage in parallel recommendation sessions and we describe how personal and shared profiles and interaction spaces can be managed to generate sets of recommendations for the individual as well as the group.",

author = "Kevin McCarthy and Maria Salamo and Lorcan Coyle and Lorraine McGinty and Barry Smyth and Paddy Nixon",

year = "2006",

language = "English",

isbn = "9781577352617",

pages = "86--91",

editor = "Geoff Sutcliffe and Randy Goebel",

booktitle = "Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)- Melbourne Beach, Florida",

publisher = "AAAI Press",

note = "19th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006), FLAIRS 2006 ; Conference date: 11-05-2006 Through 13-05-2006",

}

McCarthy, K, Salamo, M, Coyle, L, McGinty, L, Smyth, B & Nixon, P 2006, CATS: A Synchronous Approach to Collaborative Group Recommendation. in G Sutcliffe & R Goebel (eds), Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)- Melbourne Beach, Florida. AAAI Press, United States, pp. 86-91, 19th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006), Florida, Florida, United States, 11/05/06. <https://aaai.org/Papers/FLAIRS/2006/Flairs06-015.pdf>

CATS: A Synchronous Approach to Collaborative Group Recommendation. / McCarthy, Kevin; Salamo, Maria; Coyle, Lorcan et al.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)- Melbourne Beach, Florida. ed. / Geoff Sutcliffe; Randy Goebel. United States: AAAI Press, 2006. p. 86-91.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - CATS: A Synchronous Approach to Collaborative Group Recommendation

AU - McCarthy, Kevin

AU - Salamo, Maria

AU - Coyle, Lorcan

AU - McGinty, Lorraine

AU - Smyth, Barry

AU - Nixon, Paddy

PY - 2006

Y1 - 2006

N2 - Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of users with potentially competing interests is challenging in itself. In addition to this we must consider how to record and combine the preferences of many different users as they engage in simultaneous recommendation dialogs. In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying the plan a skiing vacation. The system uses the DiamondTouch interactive tabletop to allow up to 4 users to simultaneously engage in parallel recommendation sessions and we describe how personal and shared profiles and interaction spaces can be managed to generate sets of recommendations for the individual as well as the group.

AB - Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of users with potentially competing interests is challenging in itself. In addition to this we must consider how to record and combine the preferences of many different users as they engage in simultaneous recommendation dialogs. In this paper we introduce a group recommender system that is designed to provide assistance to a group of friends trying the plan a skiing vacation. The system uses the DiamondTouch interactive tabletop to allow up to 4 users to simultaneously engage in parallel recommendation sessions and we describe how personal and shared profiles and interaction spaces can be managed to generate sets of recommendations for the individual as well as the group.

UR - https://aaai.org/Library/FLAIRS/flairs06contents.php

M3 - Conference contribution

SN - 9781577352617

SP - 86

EP - 91

BT - Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)- Melbourne Beach, Florida

A2 - Sutcliffe, Geoff

A2 - Goebel, Randy

PB - AAAI Press

CY - United States

T2 - 19th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2006)

Y2 - 11 May 2006 through 13 May 2006

ER -

CATS: A Synchronous Approach to Collaborative Group Recommendation

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