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Dr. David M. Pennock's Publications [Computer Research
Scientist, Yahoo! Research Labs, Overture, Electronic Commerce,
Artificial Intelligence]
Publications: Conferences, Journals, and
Magazines
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Download |
The Tech Buzz Game
Bernard
Mangold, Mike Dooley,
Rael Dornfest,
Gary W. Flake, Havi
Hoffman, Tejaswi
Kasturi, David M. Pennock
IEEE Computer, 38(7):
94-97, July 2005
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PDF
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Information markets vs. opinion pools: An
empirical comparison
Yiling Chen, Tracy
Mullen, Chao-Hsien
Chu, David M. Pennock
ACM Conference on Electronic
Commerce,
June 2005
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PDF
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Implementing sponsored search in web search
engines: Computational evaluation of alternative mechanisms
Jane
Feng, Hemant
Bhargava, David M. Pennock
Informs Journal on Computing,
forthcoming
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PDF |
CROC: A new evaluation criterion for
recommender systems
Andrew
I. Schein, Alexandrin
Popescul, Lyle
H. Ungar, David
M. Pennock
Electronic
Commerce Research, 5(1):51-74,
2005
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PDF |
Computation
in a distributed information market
Joan Fiegenbaum, Lance Fortnow, David M. Pennock, Rahul Sami
Theoretical Computer Science, in
press, 2005
(Conference
version: ACM Conference on
Electronic Commerce, June 2003) |
PDF
| abstract
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Co-validation: Using disagreement on
unlabeled data to validate classification algorithms
Omid Madani,
David M. Pennock, Gary W. Flake
Neural Information Processing Systems,
2004
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PDF |
Prediction markets: Does money matter?
Emile
Servan-Schreiber, Justin Wolfers,
David M. Pennock, Brian Galebach
Electronic Markets, 14(3),
September 2004
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PDF
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Self-organization, self-regulation, and
self-similarity on the fractal web
Gary W.
Flake, David M. Pennock
in The Colours of Infinity, Clear Press, UK, 2004
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PDF
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Analysis
of lexical signatures for improving information persistence on the
World Wide Web
Seung-Taek
Park, David M. Pennock, C. Lee Giles, Robert
Krovetz
ACM Transactions on Information
Systems, 22(4):
540-572, 2004
(Conference
version: ACM SIGIR Conference on Research and
Development in Information Retrieval, August 2002) |
PDF |
A
Dynamic
pari-mutuel market for hedging, wagering, and information aggregation
David M.
Pennock
ACM Conference on
Electronic Commerce, May 2004
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PS
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| abstract
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Betting
boolean-style: A framework for trading in
securities based on logical formulas
Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman
Decision
Support Systems, 39(1):87-104,
2004
(Conference
version: ACM Conference on
Electronic Commerce, June 2003) |
PDF
| abstract
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Collaborative filtering with maximum entropy
Dmitry
Pavlov, Eren
Manavoglu, David M. Pennock, C. Lee Giles
IEEE Intelligent Systems, 19(6):40-48,
2004
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PS
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| abstract
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Offering collaborative-like recommendations
when data is sparse: The case of attraction-weighted information
filtering
Arnaud De Bruyn,
C. Lee Giles, David M. Pennock
Conference on Adaptive Hypermedia,
August
2004
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PDF
| abstract
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Comparing static and dynamic measurements
and models of the Internet's AS topology
Seung-Taek
Park, David M. Pennock, C. Lee Giles
Conference
of the IEEE Communications Society, 2004
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PDF
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The self-organized web: The yin to the
semantic web's yang
Gary W.
Flake, David M. Pennock, Daniel C. Fain
IEEE Intelligent Systems, 18(4):75-77,
2003 |
PDF |
Statistical Relational Learning for
Document Mining
Alexandrin
Popescul, Lyle
H. Ungar, Steve
Lawrence, David M. Pennock
IEEE International
Conference on Data Mining, 2003
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PDF |
| Sandip Debnath, David M. Pennock, Steve Lawrence,
and C. Lee Giles. Information
incorporation in online in-game sports betting markets, Proceedings
of the Fourth
Annual ACM
Conference on Electronic Commerce (EC'03),
June 2003. |
PS
| PDF
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| Kushal Dave, Steve Lawrence
and David M. Pennock. Mining
the peanut gallery: Opinion extraction and semantic classification of
product reviews, Proceedings of the Twelfth International World Wide Web
Conference (WWW-2003),
May 2003. |
PS
| PDF
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| Shyong K. Lam, David M. Pennock, Dan Cosley, and Steve Lawrence.
1 Billion Pages = 1
Million Dollars? Mining
the Web to Play "Who Wants to be a Millionaire?", Proceedings
of the 19th Conference on
Uncertainty in Artificial Intelligence (UAI-2003),
pp. 337-345, August 2003. |
PS
| PDF
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| Dmitry
Y. Pavlov
and David M. Pennock. A maximum
entropy approach to collaborative filtering in dynamic, sparse, high
dimensional domains, Proceedings of the Sixteenth Annual Conference on
Neural Information Processing Systems (NIPS-2002),
December 2002. |
PS
| PDF
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| Seung-Taek
Park, Alexy Khrabrov, David M. Pennock, Steve Lawrence,
C. Lee Giles, and
Lyle
H. Ungar. Static
and Dynamic Analysis of the Internet's Susceptibility to Faults and
Attacks, Proceedings of the 22nd Annual Joint Conference
of the IEEE Computer and Communications Societies
(INFOCOM 2003),
April 2003. |
PS
| PDF
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| Eric
J. Glover, David
M. Pennock, Steve
Lawrence,
and Bob
Krovetz. Inferring hierarchical descriptions, Proceedings
of the Eleventh
International Conference on Information and Knowledge Management
(CIKM'02),
November 2002. |
PS
| PDF
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| David
M. Pennock, Sandip Debnath, Eric
J. Glover, and C. Lee Giles.
Modeling
information incorporation in markets with application to detecting and
explaining events, Proceedings of the 18th Conference on
Uncertainty in Artificial Intelligence (UAI-2002),
pp. 405-413, August
2002. |
PS
| PDF
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| Andrew
I. Schein, Alexandrin
Popescul, Lyle
H. Ungar, and David
M. Pennock. Methods and metrics for cold-start
recommendations, Proceedings of the 25th Annual International ACM SIGIR
Conference on Research
and
Development in Information Retrieval, August 2002. |
PS
| PDF
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| Dan Cosley, Steve
Lawrence,
and David
M. Pennock. REFEREE: An open framework for practical testing of
recommender systems using ResearchIndex, Proceedings of the
18th International Conference on Very
Large Data Bases, August 2002. |
PS
| PDF
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| Eric
J. Glover, Kostas Tsioutsiouliklis, Steve Lawrence,
David
M. Pennock, and Gary
W. Flake. Using web structure for classifying and describing
web pages, Proceedings of the Eleventh
International World Wide Web
Conference, pp. 562-569, May 2002. |
PS
| PDF
| HTML
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| Soumen
Chakrabarti,
Mukul M. Joshi, Kunal Punera, and David
M. Pennock. The structure of broad topics on the Web, Proceedings
of the Eleventh
International World Wide Web Conference, pp. 251-262, May
2002. |
PS
| PDF
| HTML
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| David
M.
Pennock, Gary
W. Flake, Steve
Lawrence, Eric J. Glover,
and C. Lee Giles. Winners
don't
take all: Characterizing the competition for links on the web, Proceedings
of the National Academy of Sciences (PNAS),
Volume 99, Issue 8,
pp. 5207-5211, April 2002. |
PS
| PDF
| abstract
| HTML | more info
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| David
M.
Pennock, Steve
Lawrence, Finn
Årup
Nielsen, and C. Lee Giles.
Extracting collective probabilistic forecasts from web
games, Proceedings of the 7th ACM
SIGKDD
International
Conference on Knowledge Discovery and Data Mining (KDD-2001),
pp.174-183, San Francisco, CA, August 2001. |
PS
| PDF
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| Alexandrin
Popescul, Lyle
H. Ungar, David M.
Pennock, and Steve
Lawrence. Probabilistic models for unified collaborative and
content-based recommendation in sparse-data environments, Proceedings
of the 17th Conference on
Uncertainty in Artificial Intelligence (UAI-2001),
pp. 437-444, Seattle,
WA, August 2001. |
PS
| PDF
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| David
M.
Pennock, Steve
Lawrence, C. Lee Giles,
and Finn
Årup
Nielsen. The real power of artificial markets, Science,
291(5506): 987-988, February 9, 2001
(Extended version: The power of play: Efficiency and
forecast
accuracy in web market games, NEC
Research Institute Technical
Report #2000-168)
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PS
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| HTML
| more info
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| PDF
| HTML
| more info
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| Steve Lawrence,
David M.
Pennock, Gary
William Flake, Robert
Krovetz, Frans
M. Coetzee, Eric Glover, Finn
Årup
Nielsen, Andries Kruger, and C.
Lee Giles. Persistence of
web references in scientific research. Computer, 34(2):
26-31, 2001 |
PS | PDF
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| Eric
J. Glover, Gary W. Flake, Steve Lawrence,
William P.
Birmingham,
Andries Kruger, C. Lee Giles,
and David M.
Pennock. Improving category specific web search by
learning query modifications. Symposium on Applications and the
Internet (SAINT-2001),
pp. 23-31, 2001 |
PS | PDF
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| David
M.
Pennock and Michael
P. Wellman. Compact securities markets for Pareto optimal
reallocation of risk, Proceedings of the 16th Conference on
Uncertainty in Artificial Intelligence (UAI-2000),
pp. 481-488, Stanford,
CA, June 2000. |
PS
| abstract
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| David
M.
Pennock, Eric
Horvitz, Steve
Lawrence, and C. Lee Giles.
Collaborative filtering by personality diagnosis: A
hybrid memory-
and model-based approach, Proceedings of the 16th Conference on
Uncertainty in Artificial Intelligence (UAI-2000),
pp. 473-480, Stanford,
CA, June 2000. |
PS
| PDF
| abstract
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| David
M.
Pennock, Pedrito
Maynard-Reid II, C. Lee Giles,
and Eric
Horvitz. A normative examination of ensemble learning
algorithms, Proceedings of the 17th International Conference on
Machine Learning (ICML-2000),
pp. 735-742, Stanford, CA, June 2000. |
PS
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| David
M.
Pennock, Eric
Horvitz, and C. Lee Giles.
Social choice theory and recommender systems: Analysis
of the
axiomatic foundations of collaborative filtering, Proceedings
of the 17th National Conference on Artificial Intelligence (AAAI-2000), pp. 729-734, Austin,
TX, July 2000. |
PS
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| David
M.
Pennock and Michael
P. Wellman. Graphical representations of consensus belief, Proceedings
of the 15th Conference on Uncertainty in
Artificial
Intelligence (UAI-99),
pp. 531-540, Stockholm, Sweden, August 1999. |
PS
| abstract
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| David
M.
Pennock. Logarithmic time parallel Bayesian inference, Proceedings
of the 14th Conference on Uncertainty in
Artificial
Intelligence (UAI-98),
pp. 431-438, Madison, WI, USA, 1998. |
PS
| abstract
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| David
M.
Pennock and Michael
P. Wellman. A market framework for pooling opinions,
submitted for publication. (Earlier version selected as a finalist for
best student paper by the Decision
Analysis Society of INFORMS.)
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PS
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| David
M.
Pennock and Michael
P. Wellman. Representing aggregate belief through the
competitive equilibrium of a securities market, Proceedings of
the 13th Conference on Uncertainty in Artificial Intelligence (UAI-97), pp. 392-400, Providence,
RI, USA, 1997. |
PS
| abstract
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| David
M.
Pennock and Quentin
F. Stout. Exploiting a theory of phase transitions in
three-satisfiability problems, Proceedings of the 13th National
Conference on Artificial Intelligence (AAAI-96)
, pp. 253-258, Portland,
OR, USA, August 1996. |
PS
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| David
M.
Pennock and Michael
P. Wellman. Toward a market model for Bayesian inference, Proceedings
of the 12th Conference on Uncertainty in
Artificial
Intelligence (UAI-96) ,
pp. 405-413, Portland, OR, USA, August 1996. |
PS
| abstract
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| Christopher Connelly, Alan W. Biermann,
David
Pennock, and Peter Wu. Homestudy software: Flexible,
interactive and distributed software for independent study, ACM SIGCSE Bulletin: 27th Technical
Symposium on Computer Science Education, vol. 28 no. 1 pp. 63-67,
Philadelphia, PA, March 1996. |
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| Christopher Connelly, Alan W. Biermann,
David
Pennock, and Peter Wu. Homestudy software: Complementary
systems for computer science courses, Computer Science
Education, vol. 7, pp. 53-71, 1996. |
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| Alan W. Biermann,
Amr F. Fahmy, Curry Guinn, David Pennock,
Dietolf Ramm, and Peter Wu. A Computer animated system for
demonstrating hardware and software principles, Journal of
Computing in Small Colleges, vol. 10, no. 3, p. 34, January
1995. |
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| Alan W. Biermann,
Dietolf Ramm, David Pennock,
Amr F. Fahmy, and Peter Wu. Visualizing computation: Full color and
motion demonstration of computer mechanisms, Proceedings of the
Fifth National Conference on College Teaching and Learning,
Jacksonville, Florida, April 1994. |
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| Alan W. Biermann,
Amr F. Fahmy, Curry Guinn, David Pennock,
Dietolf Ramm, and Peter Wu. Teaching a hierarchical model of
computation with animation software in the first course, ACM SIGCSE Bulletin: 25th Technical
Symposium on Computer Science Education, vol. 26 no. 1 pp.295-299,
Phoenix, Arizona, March 1994. |
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Ph.D. Dissertation
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Download |
Other Publications
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Download |
| Alexandrin
Popescul, Lyle
H. Ungar, Steve
Lawrence,
and David M.
Pennock. Towards structural logistic regression: Combining
relational and statistical learning. Workshop on
Multi-Relational Data Mining at the Eighth ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (KDD-2002), Edmonton,
Canada, July 2002 |
PS
| PDF
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| Paat Rusmevichientong, David M.
Pennock, Steve
Lawrence,
and C. Lee Giles. Methods
for Sampling Pages Uniformly from the World Wide Web. AAAI Fall Symposium on Using Uncertainty
Within Computation, pp. 121-128, 2001 |
PS
| PDF
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| Andrew
Schein, Alexandrin
Popescul, Lyle
H. Ungar, and David M.
Pennock. Generative models for cold-start
recommendations. Workshop on
Recommender Systems at the 24th
Annual International ACM SIGIR
Conference, New Orleans, LA, 2001 |
PS
| PDF
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| David
M.
Pennock. NP markets, or How to get everyone else to solve your
intractable problems. Workshop
on Economic Agents, Models, and Mechanisms at the 17th
International Joint Conference on Artificial Intelligence (IJCAI-2001), pp.89-98, Seattle,
WA, August
2001 |
PS
| PDF
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| David
M.
Pennock. Conference report: The second ACM conference on
electronic commerce, SIGecom
Exchanges, 2(1): 33-38, 2001 |
PDF
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| David
M.
Pennock and Michael
P. Wellman. The observability of independence under
monetary-based elicitation, Workshop
on Conditional Independence Structures and Graphical Models,
pp. 56-57, Toronto, Canada, September 1999 |
PS
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| David
M.
Pennock and Eric
Horvitz. Analysis of the axiomatic foundations of collaborative
filtering, Workshop on
AI for Electronic Commerce at the 16th National Conference on
Artificial Intelligence (AAAI-99),
Orlando, Florida, July
1999. |
PS
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| David
M.
Pennock and Eric
Horvitz. Collaborative filtering by personality diagnosis: A
hybrid memory- and model-based approach, Workshop on Machine
Learning for Information Filtering at the 16th International Joint
Conference on Artificial Intelligence (IJCAI-99),
Stockholm, Sweden,
August 1999. |
PS
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| David
M.
Pennock. Learning in a neural network with fractal topology
for image compression, M.S. Thesis, Duke
University, 1994. |
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