Tag and Neighbour Based Recommender System for Medical Events

Karunakar Reddy Bayyapu, Peter Dolog

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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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.
Original languageEnglish
Title of host publicationProceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010
Publication date2010
Pages14-24
Publication statusPublished - 2010
Externally publishedYes
EventFirst International Workshop on Web Science and Information Exchange in the Medical Web (MedEx 2010) - Raleigh, NC, United States
Duration: 26 Apr 201030 Apr 2010

Workshop

WorkshopFirst International Workshop on Web Science and Information Exchange in the Medical Web (MedEx 2010)
CountryUnited States
CityRaleigh, NC
Period26/04/201030/04/2010
SeriesCEUR Workshop Proceedings
ISSN1613-0073

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