abellogin's recommender [149 articles] Export

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	A Multidimensional Paper Recommender: Experiments and Evaluations [My Copy] Internet Computing, IEEE, Vol. 13, No. 4. (21 July 2009), pp. 34-41. by T. Y. Tang, G. McCalla posted to recommender multicriteria journal evaluation by abellogin on 2009-11-24 20:03:51 as along with 2 people and 1 group suleehs brusilovsky Adaptive-Web
	Matrix Factorization Techniques for Recommender Systems [My Copy] Computer In Computer, Vol. 42, No. 8. (07 August 2009), pp. 30-37. by Y. Koren, R. Bell, C. Volinsky posted to survey recommender netflix matrix-approximation journal by abellogin on 2009-11-24 20:03:09 as along with 4 people fabgoos nliu82 bcao imrchen
	Jumping Connections: A Graph-Theoretic Model for Recommender Systems [My Copy] (2001) by Batul J. Mirza posted to thesis recommender graph by abellogin on 2009-11-05 14:44:07 as along with 1 person alexitosrv
	Studying Recommendation Algorithms by Graph Analysis [My Copy] Journal of Intelligent Information Systems, Vol. 20, No. 2. (1 March 2003), pp. 131-160. by Batul J. Mirza, Benjamin J. Keller, Naren Ramakrishnan posted to recommender journal graph by abellogin on 2009-11-05 14:42:53 as along with 3 people panisson AbnerCYH macle
	Exploiting Positive and Negative Graded Relevance Assessments for Content Recommendation [My Copy] In WAW '09: Proceedings of the 6th International Workshop on Algorithms and Models for the Web-Graph (February 2009), pp. 155-166. by Maarten Clements, Arjen de Vries, Marcel J. T. Reinders posted to recommender ndcg evaluation by abellogin on 2009-11-05 14:29:35 as along with 1 person macle
	Evaluation of kernel-based link analysis measures on research paper recommendation [My Copy] In JCDL '07: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries (2007), pp. 354-355. by Masashi Shimbo, Takahiko Ito, Yuji Matsumoto posted to recommender link-analysis hits graph evaluation by abellogin on 2009-10-16 13:04:08 as along with 1 person kberberi
	Performance prediction in recommender systems: application to the dynamic optimisation of aggregative methods [My Copy] (July 2009) by Alejandro Bellogín posted to uncertainty uam thesis recommender query-performance query-ambiguity information-theory hybrid-recommender dynamic-rank-fusion content-based collaborative-filtering clarity-score clarity aggregation by abellogin on 2009-10-12 11:20:44 as
	Discovering Relevant Preferences in a Personalised Recommender System using Machine Learning Techniques [My Copy] In Preference Learning Workshop (PL 2008), at the 8th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008) (September 2008), pp. 82-96. by A. Bellogín, I. Cantador, P. Castells, A. Ortigosa posted to uam recommender preference personalisation machine-learning decision-tree by abellogin on 2009-10-12 11:16:23 as
	Ontology-Based Personalised and Context-Aware Recommendations of News Items [My Copy] Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on, Vol. 1 (06 January 2009), pp. 562-565. by I. Cantador, A. Bellogín, P. Castells posted to uam recommender personalisation ontology news context by abellogin on 2009-10-12 11:08:37 as along with 1 person solo1nombre
	Discerning Relevant Model Features in a Content-based Collaborative Recommender System. [My Copy] In Preference Learning (2009) by A. Bellogín, I. Cantador, P. Castells, Ortigosa edited by J. Fürnkranz, E. Hüllermeier posted to uam recommender preference machine-learning decision-tree content-based by abellogin on 2009-10-12 11:02:14 as along with 1 person solo1nombre
	Providing Justifications in Recommender Systems [My Copy] Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on In Systems, Man and Cybernetics, Part A, IEEE Transactions on, Vol. 38, No. 6. (05 November 2008), pp. 1-1272. by P. Symeonidis, A. Nanopoulos, Y. Manolopoulos posted to recommender explanation by abellogin on 2009-10-12 04:14:28 as along with 3 people wuman cmencar imrchen
	Explanations of recommendations [My Copy] In RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems (2007), pp. 203-206. by Nava Tintarev posted to recommender explanation by abellogin on 2009-10-12 01:24:26 as along with 4 people nliu82 asterix77 christiand imrchen
	Tagsplanations: explaining recommendations using tags [My Copy] In IUI '09: Proceedings of the 13th international conference on Intelligent user interfaces (2009), pp. 47-56. by Jesse Vig, Shilad Sen, John Riedl posted to tag recommender folksonomy explanation by abellogin on 2009-10-12 00:33:51 as along with 10 people and 2 groups alhoori lzhlynn imrchen mboehmer wuman realheld codex mercan andreacapocci brusilovsky social_navigation Adaptive-Web
	It takes variety to make a world: diversification in recommender systems [My Copy] In EDBT '09: Proceedings of the 12th International Conference on Extending Database Technology (2009), pp. 368-378. by Cong Yu, Laks Lakshmanan, Sihem A. Yahia posted to recommender explanation by abellogin on 2009-10-05 17:06:16 as
	Content-based book recommending using learning for text categorization [My Copy] In DL '00: Proceedings of the fifth ACM conference on Digital libraries (2000), pp. 195-204. by Raymond J. Mooney, Loriene Roy posted to recommender machine-learning explanation content-based collaborative-filtering by abellogin on 2009-10-05 17:05:54 as along with 3 people and 1 group asli2021 imrchen cpcreed Adaptive-Web
	Effective explanations of recommendations: user-centered design [My Copy] In RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems (2007), pp. 153-156. by Nava Tintarev, Judith Masthoff posted to user-model user-centered recommender explanation evaluation by abellogin on 2009-10-05 17:03:56 as along with 1 person suleehs
	Recommendation Diversification Using Explanations [My Copy] Data Engineering, International Conference on, Vol. 0 (2009), pp. 1299-1302. by Cong Yu, Laks V. S. Lakshmanan, Sihem A. Yahia posted to recommender internship-09 explanation content-based collaborative-filtering by abellogin on 2009-10-05 16:47:36 as
	Probabilistic Association Rules for Item-Based Recommender Systems [My Copy] In Proceeding of the 2008 conference on STAIRS 2008 (2008), pp. 36-46. by Sylvain Castagnos, Armelle Brun, Anne Boyer posted to rules recommender probabilistic-model personalization machine-learning collaborative-filtering by abellogin on 2009-10-02 19:10:41 as
	Generative models for cold-start recommendations [My Copy] In Proceedings of the 2001 SIGIR Workshop on Recommender Systems (2001) by A. I. Schein, A. Popescul, L. H. Ungar, D. M. Pennock posted to plsa survey sigir recommender lsi hybrid-recommender content-based collaborative-filtering cold-start-problem bayesian-network-models by abellogin on 2009-08-17 17:15:02 as along with 1 person imrchen
	Web recommendation system based on a markov-chain model [My Copy] by François Fouss, Stéphane Faulkner, Manuel Kolp, Alain Pirotte, Marco Saerens posted to recommender markov-chain graph by abellogin on 2009-08-12 17:31:24 as
	Collaborative Filtering with LSI: Experiments with Cranfield [My Copy] (1998) by Ian M. Soboroff, Ian M. Soboroff posted to vector-space-model recommender lsi evaluation dimension-reduction content-based collaborative-filtering by abellogin on 2009-08-12 16:51:00 as
	A Survey of Explanations in Recommender Systems [My Copy] Data Engineering Workshop, 2007 IEEE 23rd International Conference on In Data Engineering Workshop, 2007 IEEE 23rd International Conference on (2007), pp. 801-810. by N. Tintarev, J. Masthoff posted to survey recommender explanation confidence by abellogin on 2009-08-12 00:11:28 as along with 2 people zhaomin wuman
	Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems [My Copy] Data Mining, Fifth IEEE International Conference on In ICDM (2005), pp. 577-580. by Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams posted to adversarial collaborative-filtering recommender by abellogin on 2009-07-28 17:39:34 as along with 1 person matteodellamico
	Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness [My Copy] ACM Trans. Internet Technol., Vol. 7, No. 4. (October 2007), 23. by Bamshad Mobasher, Robin Burke, Runa Bhaumik, Chad Williams posted to adversarial recommender by abellogin on 2009-07-28 17:38:11 as along with 4 people caw13 matteodellamico imrchen amchauz
	Crawling Attacks Against Web-based Recommender Systems [My Copy] In DMIN (2007), pp. 183-189. by Runa Bhaumik, Robin D. Burke, Bamshad Mobasher edited by Robert Stahlbock, Sven F. Crone, Stefan Lessmann, Robert Stahlbock, Sven F. Crone, Stefan Lessmann posted to adversarial recommender by abellogin on 2009-07-28 17:37:56 as
	A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms [My Copy] IEEE Data Eng. Bull., Vol. 31, No. 2. (2008), pp. 3-13. by Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke posted to adversarial collaborative-filtering journal recommender survey by abellogin on 2009-07-28 17:28:41 as
	Defending recommender systems: detection of profile injection attacks [My Copy] Service Oriented Computing and Applications, Vol. 1, No. 3. (30 November 2007), pp. 157-170. by Chad Williams, Bamshad Mobasher, Robin Burke posted to adversarial journal recommender by abellogin on 2009-07-28 17:12:12 as along with 1 person caw13
	Recommendation systems: a probabilistic analysis [My Copy] Foundations of Computer Science, 1998. Proceedings.39th Annual Symposium on In Foundations of Computer Science, 1998. Proceedings.39th Annual Symposium on, Vol. 0 (11 November 1998), pp. 664-673. by R. Kumar, P. Raghavan, S. Rajagopalan, A. Tomkins posted to adversarial probabilistic-model recommender by abellogin on 2009-07-28 17:11:48 as along with 2 people imrchen panisson
	Robust recommender systems [My Copy] In RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems (2008), pp. 331-332. by Robin D. Burke posted to adversarial recommender by abellogin on 2009-07-28 17:11:10 as
	Evaluation of Item-Based Top-N Recommendation Algorithms [My Copy] In CIKM (2001), pp. 247-254. by George Karypis posted to cikm collaborative-filtering evaluation recommender by abellogin on 2009-07-28 14:47:48 as
	Language models for financial news recommendation [My Copy] In CIKM '00: Proceedings of the ninth international conference on Information and knowledge management (2000), pp. 389-396. by Victor Lavrenko, Matt Schmill, Dawn Lawrie, Paul Ogilvie, David Jensen, James Allan posted to cikm language-models news recommender by abellogin on 2009-07-24 22:23:32 as
	The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization [My Copy] In Web Intelligence (2008), pp. 789-792. by Marcos A. Domingues, Al'ipio M. Jorge, Carlos Soares posted to context ir personalisation recommender by abellogin on 2009-07-08 12:14:32 as
	Long Tail Recommender Utilizing Information Diffusion Theory [My Copy] In Web Intelligence (2008), pp. 785-788. by Masayuki Ishikawa, Peter Géczy, Noriaki Izumi, Takahira Yamaguchi posted to recommender by abellogin on 2009-07-08 12:14:05 as
	Imputed Neighborhood Based Collaborative Filtering [My Copy] In Web Intelligence (2008), pp. 633-639. by Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner posted to collaborative-filtering neighborhood recommender by abellogin on 2009-07-08 12:13:03 as
	Collaborative Filtering Recommender Systems Using Tag Information [My Copy] In Web Intelligence/IAT Workshops (2008), pp. 59-62. by Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak posted to collaborative-filtering folksonomy recommender tag by abellogin on 2009-07-08 12:12:05 as
	Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations [My Copy] In AH '08: Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems (2008), pp. 22-31. by Linas Baltrunas, Francesco Ricci posted to collaborative-filtering neighborhood recommender by abellogin on 2009-07-08 11:45:57 as along with 1 person mboehmer
	Multidimensional credibility model for neighbor selection in collaborative recommendation [My Copy] Expert Syst. Appl., Vol. 36, No. 3. (2009), pp. 7114-7122. by Kwiseok Kwon, Jinhyung Cho, Yongtae Park posted to collaborative-filtering expert journal multicriteria neighborhood recommender trust by abellogin on 2009-07-08 11:40:35 as
	An Effective Recommendation Algorithm for Clustering-Based Recommender Systems [My Copy] In Australian Conference on Artificial Intelligence, Vol. 3809 (2005), pp. 1150-1153. by Taek H. Kim, Sung B. Yang edited by Shichao Zhang, Ray Jarvis, Shichao Zhang, Ray Jarvis posted to clustering recommender by abellogin on 2009-07-08 10:45:21 as
	How To Break Anonymity of the Netflix Prize Dataset [My Copy] (18 Oct 2006) by Arvind Narayanan, Vitaly Shmatikov posted to privacy recommender by abellogin on 2009-06-21 23:52:03 as along with 2 people and 1 group sniadecki lfriedl kdl
	Personalized Recommendation in Social Tagging Systems using Hierarchical Clustering [My Copy] In Proceedings of the 2008 ACM Conference on Recommender Systems (RecSys 2008) (October 2008), pp. 259-266. by A. Shepitsen, J. Gemmell, B. Mobasher, R. Burke posted to folksonomy personalisation recommender by abellogin on 2009-06-12 11:11:02 as along with 10 people and 5 groups lzhlynn alhoori realheld dvallet macle bundschu icantador denisparra D80 brusilovsky NETS-UAM NETS Social Web social_navigation Adaptive-Web
	Analysis and Classification of Multi-Criteria Recommender Systems [My Copy] World Wide Web, Vol. 10, No. 4. (4 December 2007), pp. 415-441. by Nikos Manouselis, Constantina Costopoulou posted to decision-making multicriteria recommender by abellogin on 2009-06-03 16:34:58 as along with 3 people and 1 group tdrycker imrchen amchauz Agent Mining
	New Recommendation Techniques for Multicriteria Rating Systems [My Copy] Intelligent Systems In Intelligent Systems, Vol. 22, No. 3. (2007), pp. 48-55. by G. Adomavicius, Youngok Kwon posted to aggregation decision-making multicriteria recommender by abellogin on 2009-06-03 16:33:48 as along with 4 people zhaomin nliu82 imrchen yteng2
	PolyLens: A recommender system for groups of user [My Copy] In ECSCW (2001), pp. 199-218. by Mark O'Connor, Dan Cosley, Joseph A. Konstan, John Riedl edited by Wolfgang Prinz, Matthias Jarke, Yvonne Rogers, et al.Kjeld Schmidt, Volker Wulf, Wolfgang Prinz, Matthias Jarke, Yvonne Rogers, Kjeld Schmidt, Volker Wulf posted to collaborative-filtering recommender by abellogin on 2009-06-01 09:59:23 as
	Movie Recommender: Semantically Enriched Unifed Relevance Model for Rating Prediction in Collaborative Filtering [My Copy] In Proceedings of the 31st European Conference on Information Retrieval (April 2008) by Y. Moshfeghi, D. Agarwal, B. Piwowarski, J. M. Jose posted to ecir ontology recommender user-model by abellogin on 2009-05-31 21:08:39 as along with 1 person icantador
	Revisiting IR Techniques for Collaborative Search Strategies [My Copy] Advances in Information Retrieval In ECIR '09: Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval, Vol. 5478 (2009), pp. 66-77. by Hideo Joho, David Hannah, Joemon Jose posted to collaborative-filtering ecir ir recommender by abellogin on 2009-05-31 21:07:11 as along with 2 people and 2 groups dvallet ctl NETS-UAM NETS
	What's on TV tonight? An efficient and effective personalized recommender system of TV programs [My Copy] Consumer Electronics, IEEE Transactions on In Consumer Electronics, IEEE Transactions on, Vol. 55, No. 1. (2009), pp. 286-294. by A. Martinez, J. Arias, A. Vilas, Garcia, Lopez posted to content-based collaborative-filtering hybrid-recommender personalisation recommender svd tv vector-space-model by abellogin on 2009-05-23 13:42:37 as
	State-of-the-Art Recommender Systems [My Copy] by Laurent Candillier, Kris Jack, Françoise Fessant, Frank Meyer posted to book recommender survey by abellogin on 2009-05-13 14:46:58 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 collaborative-filtering recommender survey by abellogin on 2009-05-03 16:37:08 as along with 2 people and 1 group votis imrchen TKU_CS DB Lab
	Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems [My Copy] Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects (2008), pp. 242-255. by Laurent Candillier, Frank Meyer, Françoise Fessant posted to collaborative-filtering recommender similarity by abellogin on 2009-05-03 16:36:36 as along with 1 person and 1 group clickstone Resys
	Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling [My Copy] (05 December 2008) by Max Chevalier posted to book collaborative-filtering ir recommender user-model by abellogin on 2009-05-03 16:33:16 as

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ir	263
hci	174
interact07	163
recommender	149
collaborative-filtering	124
aggregation	94
language-models	89
uncertainty	78
ontology	73
personalisation	71
sigir	66
evaluation	66
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trec	26
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pca	25
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explanation	23
preference	23
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cikm	21
svd	19
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rules	17
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neighborhood	8
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code	7
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hits	5
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lemur	4
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um	3
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iterative	1
netflix	1
tv	1

abellogin's recommender [149 articles] Export

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