CIRGIRDISCO at TREC 2013 Contextual Suggestion Track: Using the Wikipedia Graph Structure for Item-to-Item Recommendation

M. Atif Qureshi; Arjumand Younus; Colm O'Riordan; Gabriella Pasi

CIRGIRDISCO at TREC 2013 Contextual Suggestion Track: Using the Wikipedia Graph Structure for Item-to-Item Recommendation

M. Atif Qureshi, Arjumand Younus, Colm O'Riordan, Gabriella Pasi

Computer Science

Research output: Contribution to conference (Published) › Paper › peer-review

Abstract

This paper describes our participation in the TREC 2013 contextual suggestion task. We fetch possible locations based on given contexts using Google Places API and WikiTravel. This is followed by a Wikipedia-based item-to-item similarity computation framework which uses the Wikipedia category-article structure to compute similarity between example locations rated by users and the suggested locations. This is then used in an item-based nearest neighbor recommendation framework to recommend the locations based on given user profile ratings.

Original language	English
Publication status	Published - 2013
Event	22nd Text REtrieval Conference, TREC 2013 - Gaithersburg, United States Duration: 19 Nov 2013 → 22 Nov 2013

Conference

Conference	22nd Text REtrieval Conference, TREC 2013
Country/Territory	United States
City	Gaithersburg
Period	19/11/13 → 22/11/13

Cite this

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title = "CIRGIRDISCO at TREC 2013 Contextual Suggestion Track: Using the Wikipedia Graph Structure for Item-to-Item Recommendation",

abstract = "This paper describes our participation in the TREC 2013 contextual suggestion task. We fetch possible locations based on given contexts using Google Places API and WikiTravel. This is followed by a Wikipedia-based item-to-item similarity computation framework which uses the Wikipedia category-article structure to compute similarity between example locations rated by users and the suggested locations. This is then used in an item-based nearest neighbor recommendation framework to recommend the locations based on given user profile ratings.",

author = "Qureshi, \{M. Atif\} and Arjumand Younus and Colm O'Riordan and Gabriella Pasi",

note = "Publisher Copyright: {\textcopyright} 2013 22nd Text REtrieval Conference, TREC 2013 - Proceedings. All Rights Reserved.; 22nd Text REtrieval Conference, TREC 2013 ; Conference date: 19-11-2013 Through 22-11-2013",

year = "2013",

language = "English",

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T1 - CIRGIRDISCO at TREC 2013 Contextual Suggestion Track

T2 - 22nd Text REtrieval Conference, TREC 2013

AU - Qureshi, M. Atif

AU - Younus, Arjumand

AU - O'Riordan, Colm

AU - Pasi, Gabriella

PY - 2013

Y1 - 2013

N2 - This paper describes our participation in the TREC 2013 contextual suggestion task. We fetch possible locations based on given contexts using Google Places API and WikiTravel. This is followed by a Wikipedia-based item-to-item similarity computation framework which uses the Wikipedia category-article structure to compute similarity between example locations rated by users and the suggested locations. This is then used in an item-based nearest neighbor recommendation framework to recommend the locations based on given user profile ratings.

AB - This paper describes our participation in the TREC 2013 contextual suggestion task. We fetch possible locations based on given contexts using Google Places API and WikiTravel. This is followed by a Wikipedia-based item-to-item similarity computation framework which uses the Wikipedia category-article structure to compute similarity between example locations rated by users and the suggested locations. This is then used in an item-based nearest neighbor recommendation framework to recommend the locations based on given user profile ratings.

UR - http://www.scopus.com/inward/record.url?scp=85180808329&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85180808329

Y2 - 19 November 2013 through 22 November 2013

ER -

CIRGIRDISCO at TREC 2013 Contextual Suggestion Track: Using the Wikipedia Graph Structure for Item-to-Item Recommendation

Abstract

Conference

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