]> 2012-02-11T08:35:16-05:00 Towards leveraging inference web to support intuitive explanations in recommender systems for automated career counseling 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. inproceedings Proceedings of the First International Conference on Advances in Computer-Human Interaction dblp:conf/achi/narayananm08 164-169 Towards Leveraging Inference Web to Support Intuitive Explanations in Recommender Systems for Automated Career Counseling TW-2008-02 2008 Year Tr id Title Computer science Tag Source Paper url Pages February Month Key Doi Booktitle Bibtype Deborah L. McGuinness Tejaswini Narayanan Author Abstract TW Technical Report Publication Proceeding Paper Conference Paper