David M. Pennock - researchr alias

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2011

An Efficient Monte-Carlo Algorithm for Pricing Combinatorial Prediction Markets for TournamentsLirong Xia, David M. Pennock. IJCAI 2011: 452-457 [doi]

2010

2009

2008

Pricing combinatorial markets for tournamentsYiling Chen, Sharad Goel, David M. Pennock. stoc 2008: 305-314 [doi]

Complexity of combinatorial market makersYiling Chen, Lance Fortnow, Nicolas S. Lambert, David M. Pennock, Jennifer Wortman. sigecom 2008: 190-199 [doi]

An Expressive Auction Design for Online Display AdvertisingSébastien Lahaie, David C. Parkes, David M. Pennock. AAAI 2008: 108-113

Self-financed wagering mechanisms for forecastingNicolas S. Lambert, John Langford, Jennifer Wortman, Yiling Chen, Daniel M. Reeves, Yoav Shoham, David M. Pennock. sigecom 2008: 170-179 [doi]

Eliciting properties of probability distributionsNicolas S. Lambert, David M. Pennock, Yoav Shoham. sigecom 2008: 129-138 [doi]

Eliciting properties of probability distributions: the highlightsNicolas S. Lambert, David M. Pennock, Yoav Shoham. sigecom, 7(3), 2008. [doi]

2007

Combinatorial bettingYiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock. sigecom, 7(1):61-64, 2007. [doi]

Betting on permutationsYiling Chen, Lance Fortnow, Evdokia Nikolova, David M. Pennock. sigecom 2007: 326-335 [doi]

Second workshop on prediction marketsYiling Chen, John O. Ledyard, David M. Pennock, Eric Zitzewitz. sigecom 2007: 361-362 [doi]

Bluffing and Strategic Reticence in Prediction MarketsYiling Chen, Daniel M. Reeves, David M. Pennock, Robin D. Hanson, Lance Fortnow, Rica Gonen. wine 2007: 70-81 [doi]

Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative MechanismsJuan Feng, Hemant K. Bhargava, David M. Pennock. informs, 19(1):137-148, 2007. [doi]

Mechanism Design on Trust NetworksArpita Ghosh, Mohammad Mahdian, Daniel M. Reeves, David M. Pennock, Ryan Fugger. wine 2007: 257-268 [doi]

Revenue analysis of a family of ranking rules for keyword auctionsSébastien Lahaie, David M. Pennock. sigecom 2007: 50-56 [doi]

Applying collaborative filtering techniques to movie search for better ranking and browsingSeung-Taek Park, David M. Pennock. kdd 2007: 550-559 [doi]

2006

An Empirical Comparison of Algorithms for Aggregating Expert PredictionsVarsha Dani, Omid Madani, David M. Pennock, Sumit K. Sanghai, Brian Galebach. uai 2006: [doi]

Proceedings 7th ACM Conference on Electronic Commerce (EC-2006), Ann Arbor, Michigan, USA, June 11-15, 2006Joan Feigenbaum, John C.-I. Chuang, David M. Pennock, editors, ACM, 2006.

2005

Information markets vs. opinion pools: an empirical comparisonYiling Chen, Chao-Hsien Chu, Tracy Mullen, David M. Pennock. sigecom 2005: 58-67 [doi]

Computation in a distributed information marketJoan Feigenbaum, Lance Fortnow, David M. Pennock, Rahul Sami. TCS, 343(1-2):114-132, 2005. [doi]

Betting Boolean-style: a framework for trading in securities based on logical formulasLance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman. dss, 39(1):87-104, 2005. [doi]

The Tech Buzz GameBernard Mangold, Mike Dooley, Gary William Flake, Havi Hoffman, Tejaswi Kasturi, David M. Pennock, Rael Dornfest. Computer, 38(7):94-97, 2005. [doi]

Graphical Models for Groups: Belief Aggregation and Risk SharingDavid M. Pennock, Michael P. Wellman. da, 2(3):148-164, 2005. [doi]

CROC: A New Evaluation Criterion for Recommender SystemsAndrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock. ecr, 5(1):51-74, 2005. [doi]

2004

Offering Collaborative-Like Recommendations When Data Is Sparse: The Case of Attraction-Weighted Information Filtering.Arnaud De Bruyn, C. Lee Giles, David M. Pennock. ah 2004: 393-396 [doi]

Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification AlgorithmsOmid Madani, David M. Pennock, Gary William Flake. nips 2004: [doi]

Comparing static and dynamic measurements and models of the Internet s AS topologySeung-Taek Park, David M. Pennock, C. Lee Giles. infocom 2004: [doi]

Analysis of lexical signatures for improving information persistence on the World Wide WebSeung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz. tois, 22(4):540-572, 2004. [doi]

Collaborative Filtering with Maximum EntropyDmitry Pavlov, Eren Manavoglu, David M. Pennock, C. Lee Giles. expert, 19(6):40-48, 2004. [doi]

A dynamic pari-mutuel market for hedging, wagering, and information aggregationDavid M. Pennock. sigecom 2004: 170-179 [doi]

Conference report: the fifth ACM conference on electronic commerceDavid M. Pennock. sigecom, 5(1):48-56, 2004. [doi]

The Eudaemonic Pie: A ReviewDavid M. Pennock. aim, 25(2):125-128, 2004.

Prediction Markets: Does Money Matter?Emile Servan-Schreiber, Justin Wolfers, David M. Pennock, Brian Galebach. electronicmarkets, 14(3):243-251, 2004. [doi]

2003

Mining the peanut gallery: opinion extraction and semantic classification of product reviewsKushal Dave, Steve Lawrence, David M. Pennock. WWW 2003: 519-528 [doi]

Information incorporation in online in-Game sports betting marketsSandip Debnath, David M. Pennock, C. Lee Giles, Steve Lawrence. sigecom 2003: 258-259 [doi]

Computation in a distributed information marketJoan Feigenbaum, Lance Fortnow, David M. Pennock, Rahul Sami. sigecom 2003: 156-165 [doi]

Comparison of allocation rules for paid placement advertising in search enginesJuan Feng, Hemant K. Bhargava, David M. Pennock. ACMicec 2003: 294-299 [doi]

Betting boolean-style: a framework for trading in securities based on logical formulasLance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman. sigecom 2003: 144-155 [doi]

1 Billion Pages = 1 Million Dollars? Mining the Web to Play Who Wants to be a Millionaire? Shyong K. Lam, David M. Pennock, Dan Cosley, Steve Lawrence. uai 2003: 337-345

Static and Dynamic Analysis of the Internet s Susceptibility to Faults and AttacksSeung-Taek Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence, C. Lee Giles, Lyle H. Ungar. infocom 2003: [doi]

Mixtures of Conditional Maximum Entropy ModelsDmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar. icml 2003: 584-591

Statistical Relational Learning for Document MiningAlexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock. icdm 2003: 275-282 [doi]

Neurons, Viscose Fluids, Freshwater Polyp Hydra-and Self-Organizing Information SystemsSteffen Staab, Francis Heylighen, Carlos Gershenson, Gary William Flake, David M. Pennock, Daniel C. Fain, David De Roure, Karl Aberer, Wei-Min Shen, Olivier Dousse, Patrick Thiran. expert, 18(4):72-86, 2003. [doi]

2002

The structure of broad topics on the webSoumen Chakrabarti, Mukul Joshi, Kunal Punera, David M. Pennock. WWW 2002: 251-262 [doi]

REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndexDan Cosley, Steve Lawrence, David M. Pennock. VLDB 2002: 35-46 [doi]

Using web structure for classifying and describing web pagesEric J. Glover, Kostas Tsioutsiouliklis, Steve Lawrence, David M. Pennock, Gary William Flake. WWW 2002: 562-569 [doi]

Inferring hierarchical descriptionsEric J. Glover, David M. Pennock, Steve Lawrence, Robert Krovetz. CIKM 2002: 507-514 [doi]

Analysis of lexical signatures for finding lost or related documentsSeung-Taek Park, David M. Pennock, C. Lee Giles, Robert Krovetz. sigir 2002: 11-18 [doi]

A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional DomainsDmitry Pavlov, David M. Pennock. nips 2003: 1441-1448 [doi]

Modelling Information Incorporation in Markets, with Application to Detecting and Explaining EventsDavid M. Pennock, Sandip Debnath, Eric J. Glover, C. Lee Giles. uai 2002: 405-413

Winners don t take all: Characterizing the competition for links on the webDavid M. Pennock, Gary William Flake, Steve Lawrence, Eric J. Glover, C. Lee Giles. pnas, 99(8):5207-5211, 2002. [doi]

Methods and metrics for cold-start recommendationsAndrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock. sigir 2002: 253-260 [doi]

2001

Improving Category Specific Web Search by Learning Query ModificationsEric J. Glover, Gary William Flake, Steve Lawrence, William P. Birmingham, Andries Kruger, C. Lee Giles, David M. Pennock. saint 2001: 23 [doi]

Persistence of Web References in Scientific ResearchSteve Lawrence, David M. Pennock, Gary William Flake, Robert Krovetz, Frans Coetzee, Eric J. Glover, Finn Årup Nielsen, Andries Kruger, C. Lee Giles. Computer, 34(2):26-31, 2001. [doi]

Conference report: the second ACM conference on electronic commerceDavid M. Pennock. sigecom, 2(1):33-38, 2001. [doi]

Extracting collective probabilistic forecasts from web gamesDavid M. Pennock, Steve Lawrence, Finn Årup Nielsen, C. Lee Giles. kdd 2001: 174-183 [doi]

Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data EnvironmentsAlexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence. uai 2001: 437-444 [doi]

2000

Persistence of information on the web: Analyzing citations contained in research articlesSteve Lawrence, Frans Coetzee, Gary William Flake, David M. Pennock, Robert Krovetz, Finn Årup Nielsen, Andries Kruger, C. Lee Giles. CIKM 2000: 235-242 [doi]

Compact Securities Markets for Pareto Optimal Reallocation of RiskDavid M. Pennock, Michael P. Wellman. uai 2000: 481-488 [doi]

A Normative Examination of Ensemble Learning AlgorithmsDavid M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles, Eric Horvitz. icml 2000: 735-742

Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative FilteringDavid M. Pennock, Eric Horvitz, C. Lee Giles. AAAI 2000: 729-734

Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based ApproachDavid M. Pennock, Eric Horvitz, Steve Lawrence, C. Lee Giles. uai 2000: 473-480 [doi]

1999

Graphical Representations of Consensus BeliefDavid M. Pennock, Michael P. Wellman. uai 1999: 531-540 [doi]

1998

Logarithmic Time Parallel Bayesian InferenceDavid M. Pennock. uai 1998: 431-438 [doi]

1997

Representing Aggregate Belief through the Competitive Equilibrium of a Securities MarketDavid M. Pennock, Michael P. Wellman. uai 1997: 392-400 [doi]

1996

Exploiting a Theory of Phase Transitions in Three-Satisfiability ProblemsDavid M. Pennock, Quentin F. Stout. AAAI 1996: 253-258

Toward a Market Model for Bayesian InferenceDavid M. Pennock, Michael P. Wellman. uai 1996: 405-413 [doi]

MarketBayes: A Distributed, Market-Based Bayesian NetworkDavid M. Pennock. AAAI 1996: 1402