Tag and Neighbor based Recommender systems for Medical events

Karunakar Reddy Bayyapu, Peter Dolog

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

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Resumé

This paper presents an extension of a multifactor recommendation approach based on user tagging with term neighbours. Neighbours of words in tag vectors and documents provide for hitting larger set of documents and not only those matching with direct tag vectors or content of the documents. Tag popularity, tag representativeness and tag similarity are applied similarly as in the original approach but also to neighbours. By doing so, we treat the documents which have been added to the result set by considering word neighbours in the same way as the others. This provides an advantage in the situations where the quality of tags is lower. We discuss the approach on the examples from the existing Medworm system to indicate the usefulness of the approach.
OriginalsprogEngelsk
Publikationsdato8 apr. 2010
Antal sider10
StatusUdgivet - 8 apr. 2010
BegivenhedProceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010. WWW2010 web conference - Raleigh, NC, USA
Varighed: 26 apr. 201030 apr. 2010

Workshop

WorkshopProceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010. WWW2010 web conference
LandUSA
ByRaleigh, NC
Periode26/04/201030/04/2010

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Bayyapu, K. R., & Dolog, P. (2010). Tag and Neighbor based Recommender systems for Medical events. Afhandling præsenteret på Proceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010. WWW2010 web conference, Raleigh, NC, USA.
Bayyapu, Karunakar Reddy ; Dolog, Peter. / Tag and Neighbor based Recommender systems for Medical events. Afhandling præsenteret på Proceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010. WWW2010 web conference, Raleigh, NC, USA.10 s.
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title = "Tag and Neighbor based Recommender systems for Medical events",
abstract = "This paper presents an extension of a multifactor recommendation approach based on user tagging with term neighbours. Neighbours of words in tag vectors and documents provide for hitting larger set of documents and not only those matching with direct tag vectors or content of the documents. Tag popularity, tag representativeness and tag similarity are applied similarly as in the original approach but also to neighbours. By doing so, we treat the documents which have been added to the result set by considering word neighbours in the same way as the others. This provides an advantage in the situations where the quality of tags is lower. We discuss the approach on the examples from the existing Medworm system to indicate the usefulness of the approach.",
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Bayyapu, KR & Dolog, P 2010, 'Tag and Neighbor based Recommender systems for Medical events' Paper fremlagt ved, Raleigh, NC, USA, 26/04/2010 - 30/04/2010, .

Tag and Neighbor based Recommender systems for Medical events. / Bayyapu, Karunakar Reddy; Dolog, Peter.

2010. Afhandling præsenteret på Proceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010. WWW2010 web conference, Raleigh, NC, USA.

Publikation: Konferencebidrag uden forlag/tidsskriftPaper uden forlag/tidsskriftForskningpeer review

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AU - Dolog, Peter

N1 - Proceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010

PY - 2010/4/8

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N2 - This paper presents an extension of a multifactor recommendation approach based on user tagging with term neighbours. Neighbours of words in tag vectors and documents provide for hitting larger set of documents and not only those matching with direct tag vectors or content of the documents. Tag popularity, tag representativeness and tag similarity are applied similarly as in the original approach but also to neighbours. By doing so, we treat the documents which have been added to the result set by considering word neighbours in the same way as the others. This provides an advantage in the situations where the quality of tags is lower. We discuss the approach on the examples from the existing Medworm system to indicate the usefulness of the approach.

AB - This paper presents an extension of a multifactor recommendation approach based on user tagging with term neighbours. Neighbours of words in tag vectors and documents provide for hitting larger set of documents and not only those matching with direct tag vectors or content of the documents. Tag popularity, tag representativeness and tag similarity are applied similarly as in the original approach but also to neighbours. By doing so, we treat the documents which have been added to the result set by considering word neighbours in the same way as the others. This provides an advantage in the situations where the quality of tags is lower. We discuss the approach on the examples from the existing Medworm system to indicate the usefulness of the approach.

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Bayyapu KR, Dolog P. Tag and Neighbor based Recommender systems for Medical events. 2010. Afhandling præsenteret på Proceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010. WWW2010 web conference, Raleigh, NC, USA.