Towards Leveraging Inference Web to Support Intuitive Explanations in Recommender Systems for Automated Career Counseling

February 10-February 15

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http://doi.ieeecomputersociety.org/10.1109/ACHI.2008.36

First International Conference on Adv ...

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	ASCII Text	x
	Tejaswini Narayanan, Deborah L. McGuinness, "Towards Leveraging Inference Web to Support Intuitive Explanations in Recommender Systems for Automated Career Counseling," International Conference on Advances in Computer-Human Interaction, pp. 164-169, First International Conference on Advances in Computer-Human Interaction, 2008.

	BibTex	x
	@article{ 10.1109/ACHI.2008.36, author = {Tejaswini Narayanan and Deborah L. McGuinness}, title = {Towards Leveraging Inference Web to Support Intuitive Explanations in Recommender Systems for Automated Career Counseling}, journal ={International Conference on Advances in Computer-Human Interaction}, volume = {0}, year = {2008}, isbn = {978-0-7695-3086-4}, pages = {164-169}, doi = {http://doi.ieeecomputersociety.org/10.1109/ACHI.2008.36}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - International Conference on Advances in Computer-Human Interaction TI - Towards Leveraging Inference Web to Support Intuitive Explanations in Recommender Systems for Automated Career Counseling SN - 978-0-7695-3086-4 SP164 EP169 A1 - Tejaswini Narayanan, A1 - Deborah L. McGuinness, PY - 2008 KW - Explanation Generation KW - Recommender Systems KW - Automated Career Counseling KW - Semantic Web User Interfaces VL - 0 JA - International Conference on Advances in Computer-Human Interaction ER -

Tejaswini Narayanan

Deborah L. McGuinness

We consider the problem of supporting intuitive explanations in Recommender Systems used for Automated Career Counseling. Explanations enhance the transparency in operation of a Recommender System and facilitate user-acceptance, adoption, and trust in the system. We leverage the Inference Web (IW) Infrastructure and the Proof Markup Language (PML) as a foundation for supporting intuitive explanations in Recommender Systems for Automated Career Counseling. We present the design and implementation of our system, highlighting the salient features of our approach using an illustrative example.

Index Terms:

Explanation Generation, Recommender Systems, Automated Career Counseling, Semantic Web User Interfaces

Citation:

Tejaswini Narayanan, Deborah L. McGuinness, "Towards Leveraging Inference Web to Support Intuitive Explanations in Recommender Systems for Automated Career Counseling," achi, pp.164-169, First International Conference on Advances in Computer-Human Interaction, 2008

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