NU Team Recommender

Noshir Contractor (Developer)

Research output: Non-textual formSoftware

Abstract

The NU team Recommender is a web application that allows users to assemble teams based on the NU Scholars VIVO endpoint. It utilizes the World Wide Web Consortium (W3C) standard SPARQL query language for retrieval of semantic web data. The NU Team Recommender aims to assemble teams based on the preferences of an individual. These preferences encompass team size, homophily and network properties of co-authorship networks. The tool also aims to support team assessment feature that would allow individuals to evaluate different potential teams based on their preferences.

The software is still in its alpha stage. We are working on several more key features which include allowing the user to choose some of the team members before making a query and including these members in the final recommended teams, using citation data to form citation networks for use in the recommendations, having a research administrator query feature, putting keywords into a hierarchical structure to make them more relevant to the query, and so on.

We envision this software to be used by researchers at Northwestern University initially, and potentially by collaborating with other institutions, extended to allow cross-institutional team recommendations in the future.

SONIC Research Group, Northwestern University.

http://sonic.northwestern.edu/software/nu-team-recommender/
Original languageEnglish (US)
StatePublished - 2014

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Query languages
Semantic Web
World Wide Web

Cite this

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title = "NU Team Recommender",
abstract = "The NU team Recommender is a web application that allows users to assemble teams based on the NU Scholars VIVO endpoint. It utilizes the World Wide Web Consortium (W3C) standard SPARQL query language for retrieval of semantic web data. The NU Team Recommender aims to assemble teams based on the preferences of an individual. These preferences encompass team size, homophily and network properties of co-authorship networks. The tool also aims to support team assessment feature that would allow individuals to evaluate different potential teams based on their preferences.The software is still in its alpha stage. We are working on several more key features which include allowing the user to choose some of the team members before making a query and including these members in the final recommended teams, using citation data to form citation networks for use in the recommendations, having a research administrator query feature, putting keywords into a hierarchical structure to make them more relevant to the query, and so on.We envision this software to be used by researchers at Northwestern University initially, and potentially by collaborating with other institutions, extended to allow cross-institutional team recommendations in the future.SONIC Research Group, Northwestern University.http://sonic.northwestern.edu/software/nu-team-recommender/",
author = "Noshir Contractor",
note = "http://sonic.northwestern.edu/software/nu-team-recommender/",
year = "2014",
language = "English (US)",

}

NU Team Recommender. Contractor, Noshir (Developer). 2014.

Research output: Non-textual formSoftware

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AB - The NU team Recommender is a web application that allows users to assemble teams based on the NU Scholars VIVO endpoint. It utilizes the World Wide Web Consortium (W3C) standard SPARQL query language for retrieval of semantic web data. The NU Team Recommender aims to assemble teams based on the preferences of an individual. These preferences encompass team size, homophily and network properties of co-authorship networks. The tool also aims to support team assessment feature that would allow individuals to evaluate different potential teams based on their preferences.The software is still in its alpha stage. We are working on several more key features which include allowing the user to choose some of the team members before making a query and including these members in the final recommended teams, using citation data to form citation networks for use in the recommendations, having a research administrator query feature, putting keywords into a hierarchical structure to make them more relevant to the query, and so on.We envision this software to be used by researchers at Northwestern University initially, and potentially by collaborating with other institutions, extended to allow cross-institutional team recommendations in the future.SONIC Research Group, Northwestern University.http://sonic.northwestern.edu/software/nu-team-recommender/

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