dokooh's recommender [23 articles] Export

Recent papers added to dokooh's library classified by the tag recommender. You can also see everyone's recommender.

	Making recommendations better: an analytic model for human-recommender interaction [My Copy] In CHI '06: CHI '06 extended abstracts on Human factors in computing systems (2006), pp. 1103-1108. by Sean M. McNee, John Riedl, Joseph A. Konstan posted to systems recommender model interfaces interaction humman analytic by dokooh on 2009-12-01 10:42:55 as along with 4 people nliu82 wuman tdrycker imrchen
	A Survey of Explanations in Recommender Systems [My Copy] Data Engineering Workshop, 2007 IEEE 23rd International Conference on In ICDE'07: Workshop on Recommender Systems and Intelligent User Interfaces (2007), pp. 801-810. by N. Tintarev, J. Masthoff posted to systems survey recommender explanation by dokooh on 2009-12-01 10:42:22 as along with 3 people zhaomin abellogin wuman
	Recommender Systems Research: A Connection-Centric Survey [My Copy] Journal of Intelligent Information Systems, Vol. 23, No. 2. (1 September 2004), pp. 107-143. by Saverio Perugini, Marcos A. Gonçalves, Edward A. Fox posted to systems survey social research recommender issues connection by dokooh on 2009-12-01 10:41:09 as along with 11 people and 4 groups rabourn FG amygdala wcrosbie horeis lschiff cyph3r social2navigator maike AlisonBabeu cpcreed Wikipedia CoP_CMS CompIntelligentSystems kickOffTUG-Robocup
	Explaining collaborative filtering recommendations [My Copy] In CSCW '00: Proceedings of the 2000 ACM conference on Computer supported cooperative work (2000), pp. 241-250. by Jonathan L. Herlocker, Joseph A. Konstan, John Riedl posted to systems recommender filtering explanation collaborative by dokooh on 2009-12-01 10:23:01 as along with 17 people and 2 groups votis nliu82 paulovn eddymier wuman accessrajesh imrchen brusilovsky tdrycker tdpessem searchy bsowell koles vmircevski brianlimyl kgajos abellogin Adaptive-Web WiCa
	Explanation in Recommender Systems [My Copy] Artificial Intelligence Review, Vol. 24, No. 2. (11 October 2005), pp. 179-197. by David Mcsherry posted to systems recommender explanation by dokooh on 2009-12-01 10:22:44 as along with 6 people wuman bj beatty xiaoyan2006 astewart brianlimyl
	Incorporating contextual information in recommender systems using a multidimensional approach [My Copy] ACM Trans. Inf. Syst., Vol. 23, No. 1. (January 2005), pp. 103-145. by Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin posted to systems recommender multidimensional dimension context by dokooh on 2009-12-01 10:19:34 as along with 16 people and 6 groups wiizane briordan nliu82 ctl luisluque mboehmer abellogin palakorn fsilvestri bj wasp vellino godmar diogomartins imrchen cpcreed Resys Drexel-HCI Drexel-eVoting Semantic-Social-Networks InformationRetrieval CISTI-Research
	The role of transparency in recommender systems [My Copy] In CHI '02: CHI '02 extended abstracts on Human factors in computing systems (2002), pp. 830-831. by Rashmi Sinha, Kirsten Swearingen posted to transparency systems recommender interfaces by dokooh on 2009-12-01 10:08:23 as along with 6 people and 2 groups wuman jrw riadlem lschiff suleehs brianlimyl CSCW Ubicomp
	Application domain and functional classification of recommender systems a survey [My Copy] Desidoc journal of library and information technology, Vol. 28, No. 3. (2008), pp. 17-36. by K. Nageswara Rao, V. G. Talwar posted to systems survey stateofart recommender classification by dokooh on 2009-12-01 09:47:11 as
	State-of-the-Art Recommender Systems [My Copy] Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling In Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling (December 2009), pp. 1-22. by L. Candillier, K. Jack, F. Fessant, F. Meyer edited by M. Chevalier posted to systems stateofart recommender by dokooh on 2009-12-01 09:36:08 as
	Comparing State-of-the-Art Collaborative Filtering Systems [My Copy] Machine Learning and Data Mining in Pattern Recognition In MLDM '07: Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition (2007), pp. 548-562. by Laurent Candillier, Frank Meyer, Marc Boullé posted to systems stateofart recommender filtering collaborative by dokooh on 2009-12-01 09:30:20 as along with 3 people and 1 group votis imrchen abellogin TKU_CS DB Lab
	Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling [My Copy] (05 December 2008) by Max Chevalier posted to user_profiles systems state_of_the_art social recommender information_retrieval collaborative challenges by dokooh on 2009-12-01 09:23:19 as along with 1 person abellogin
	Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions [My Copy] Knowledge and Data Engineering, IEEE Transactions on, Vol. 17, No. 6. (2005), pp. 734-749. by G. Adomavicius, A. Tuzhilin posted to systems survey stateofart recommender personalization by dokooh on 2009-11-30 15:31:39 as along with 45 people and 13 groups Gargunzola amonika thanh lzhlynn zhaomin brusilovsky chrisszymansky panisson rnaughton algorithmic jmankoff limingzhu elsantosneto mcphee palakorn jaberg nkorf dfrankow fsilvestri clucches nybon lschiff wasp fukken katja zpinhead vikx01 tkmosk junghoo kevinemamy vellino suleehs simmons koles msampson danejensen imrchen pprett ghoster pscheir markotka zhangl cpcreed votis adamsi Resys Social Web Adaptive-Web esenicta CMU-HCII Drexel-HCI Drexel-eVoting Semantic-Social-Networks GroupLens InformationRetrieval Footprints CISTI-Research TKU_CS DB Lab
	Evaluating collaborative filtering recommender systems [My Copy] ACM Trans. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 5-53. by Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, John T. Riedl posted to systems recommender recommendation filtering evaluation collaborative cf by dokooh on 2009-11-30 09:14:57 as along with 55 people and 15 groups wiizane paulovn cgl lzhlynn Gargunzola zhaomin apocapoc realheld pajoma exp_chris nliu82 christianholz lupianiedu wuman cimbrone dabilock palakorn jrw KuchMuch indratmo riadlem nkorf lschiff lbjay chadhogg domenico79 maike mkuro fukken brusilovsky rosta_farzan weiwu macle naufraghi lcoquelle bsowell dolhani jsanpedro suleehs sharon_hsiao ransombriggs rlai koles imrchen dquercia andrewirwin mukeshnathan cpcreed matteodellamico zhangl votis bfraser fly51fly JennyClar abellogin Information Retrieval Resys Agent Mining CMU-HCII Drexel-HCI CSCW Drexel-eVoting Semantic-Social-Networks Ubicomp CDG social_navigation pim Adaptive-Web MITCCI Social Web
	Trust and nuanced profile similarity in online social networks [My Copy] ACM Trans. Web, Vol. 3, No. 4. (2009), pp. 1-33. by Jennifer Golbeck posted to userprofile user trust socialnetwork social recommender recommendation propagation mechanism by dokooh on 2009-11-30 09:14:12 as along with 3 people and 4 groups wiizane amirreza brusilovsky Semantic-Social-Networks Resys Social Web Adaptive-Web
	Improving Social Recommender Systems [My Copy] IT Professional, Vol. 11, No. 4. (2009), pp. 38-44. by Ofer Arazy, Nanda Kumar, Bracha Shapira posted to systems social recommender improving by dokooh on 2009-11-05 16:22:08 as
	Utilizing Physical and Social Context to Improve Recommender Systems [My Copy] In WI-IATW '07: Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops (2007), pp. 123-128. by Wolfgang Woerndl, Georg Groh posted to systems social recommender physical improve context by dokooh on 2009-11-05 16:21:46 as along with 1 person ctl
	A Compact User Model for Hybrid Movie Recommender System [My Copy] Computational Intelligence and Multimedia Applications, International Conference on, Vol. 1 (2007), pp. 519-524. by Mohammad Yahya, Kamal K. Bharadwaj posted to userprofile usermodel systems recommender movie hybrid by dokooh on 2009-11-01 13:58:12 as
	Capturing knowledge of user preferences: ontologies in recommender systems [My Copy] In K-CAP '01: Proceedings of the 1st international conference on Knowledge capture (2001), pp. 100-107. by Stuart E. Middleton, David C. De Roure, Nigel R. Shadbolt posted to userprofile usermodel user systems recommender preferences ontologies mining learning knowledge capturing by dokooh on 2009-10-28 13:32:20 as along with 3 people and 4 groups cmalek palakorn cpcreed Drexel-HCI Drexel-eVoting Knowledge_Management Social_Learning_Software_Lab
	Modeling user rating profiles for collaborative filtering [My Copy] In In NIPS*17 (2003) by Benjamin Marlin posted to userprofile user systems recommender ratings profiling modeling filtering collaborative by dokooh on 2009-10-22 15:34:39 as along with 5 people and 1 group imrchen lzhlynn abellogin nliu82 sharon_hsiao Adaptive-Web
	Beyond Recommender Systems: Helping People Help Each Other [My Copy] (2001) by L. Terveen, W. Hill posted to userprofile systems socialnetwork recommender recommendation mining learning harvesting by dokooh on 2009-10-22 14:46:27 as along with 3 people maike koles fryanpan
	Unraveling the Taste Fabric of Social Networks [My Copy] International Journal on Semantic Web and Information Systems, Vol. 2, No. 1. (2006), pp. 42-71. by Hugo Liu, Pattie Maes, Glorianna Davenport posted to fabric learning mining recommendation recommender social socialnetwork taste web by dokooh on 2009-08-06 13:17:54 as along with 2 people and 1 group pajoma justaubrey musil
	Reasoning Methods for Personalization on the Semantic Web [My Copy] Annals of Mathematics, Computing & Telefinformatics, Vol. 2 (2004) by Grigoris Antoniou, Matteo Baldoni, Cristina Baroglio, et al.Viviana Patti, Robert Baumgartner, Thomas Eiter, Marcus Herzog, Roman Schindlauer, Hans Tompits, Technische U. Wien, François Bry, Nicola Henze posted to inference personalization reasoning recommendation recommender semantic systems web by dokooh on 2009-05-26 09:02:55 as along with 2 groups Semantic Web Information Retrieval
	The effects of transparency on trust in and acceptance of a content-based art recommender [My Copy] User Modeling and User-Adapted Interaction, Vol. 18, No. 5. (1 November 2008), pp. 455-496. by Henriette Cramer, Vanessa Evers, Satyan Ramlal, et al.Maarten van Someren, Lloyd Rutledge, Natalia Stash, Lora Aroyo, Bob Wielinga posted to acceptance art content-based empirical evauation museum recommendation recommender transparency trust by dokooh on 2009-05-21 17:54:19 as along with 3 people and 1 group codex brusilovsky wuman Adaptive-Web

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dokooh's recommender [23 articles] Export

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