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Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems.

, , , и . CCIA, том 131 из Frontiers in Artificial Intelligence and Applications, стр. 181-188. IOS Press, (2005)

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Josep la Puente

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Improving Relevancy Accessing Linked Opinion Data., , и . AAAI Spring Symposium: Linked Data Meets Artificial Intelligence, AAAI, (2010)A Negotiation Styles Recommenders Approach Based on Computational Ecology., , , и . CCIA, том 184 из Frontiers in Artificial Intelligence and Applications, стр. 293-302. IOS Press, (2008)Self-knowledge based on the atomic capabilities concept - a perspective to achieve sure commitments among physical agents., , и . ICINCO, стр. 425-430. INSTICC Press, (2005)Analysis of the Benefits of Collective Learning through Question Answering., , и . CSEDU (1), стр. 331-335. SciTePress, (2012)Modeling of hybrid systems by piecewise decomposition., , и . SMC, стр. 195-198. IEEE, (2003)Applying fuzzy contextual filters to variance assessment in the ART testbed. The SPARTAN appraiser agent., , и . Inteligencia Artif., 12 (39): 41-50 (2008)A Taxonomy of Recommender Agents on the Internet., , и . Artif. Intell. Rev., 19 (4): 285-330 (2003)Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems., , , и . CCIA, том 131 из Frontiers in Artificial Intelligence and Applications, стр. 181-188. IOS Press, (2005)Logo Recognition by Consensus for Enabling Blockchain Implementations., , , и . CCIA, том 300 из Frontiers in Artificial Intelligence and Applications, стр. 257-262. IOS Press, (2017)E-Government Service Evaluation: A Multiple-item Scale for Assessing Information Quality., , и . EGOV/ePart Ongoing Research, том P-221 из LNI, стр. 54-61. GI, (2013)