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Preserving Recommender Accuracy and Diversity in Sparse Datasets.

, , and . FLAIRS Conference, page 139-143. AAAI Press, (2003)

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Preserving recommender accuracy and diversity in sparse datasets., , and . International Journal on Artificial Intelligence Tools, 13 (1): 219-235 (2004)Multimodal Interaction - Improving Usability and Efficiency in a Mobile GIS Context., , and . ACHI, page 63-68. IEEE Computer Society, (2008)Case-Based Similarity Assessment: Estimating Adaptability from Experience., , and . AAAI/IAAI, page 674-679. AAAI Press / The MIT Press, (1997)Improving the Quality of the Personalized Electronic Program Guide., , , , and . User Model. User-Adapt. Interact., 14 (1): 5-36 (2004)A Survey of Volunteered Open Geo-Knowledge Bases in the Semantic Web., , and . Quality Issues in the Management of Web Information, volume 50 of Intelligent Systems Reference Library, Springer, (2013)Evil Twins: Modeling Power Users in Attacks on Recommender Systems., and . UMAP, volume 8538 of Lecture Notes in Computer Science, page 231-242. Springer, (2014)UNC Charlotte HCI/InDe lab., , , and . Interactions, 22 (6): 16-19 (2015)Knowledge Capture and Reuse for Geo-spatial Imagery Tasks., , , and . ICCBR, volume 2689 of Lecture Notes in Computer Science, page 622-636. Springer, (2003)When Experience Is Wrong: Examining CBR for Changing Tasks and Environments., and . ICCBR, volume 1650 of Lecture Notes in Computer Science, page 218-232. Springer, (1999)The Similarity Jury: Combining Expert Judgements on Geographic Concepts., , and . ER Workshops, volume 7518 of Lecture Notes in Computer Science, page 231-240. Springer, (2012)