506 citations · 955 across the 4 of their papers we have counts for
4 papers
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach
David M. Pennock, Eric J. Horvitz, Steve Lawrence +1
The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. Such systems leverage knowledge about the known preference…
Bayesian Classification and Feature Selection from Finite Data Sets
Frans Coetzee, Steve Lawrence, C. Lee Giles
Feature selection aims to select the smallest subset of features for a specified level of performance. The optimal achievable classification performance on a feature subset is summ…
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
Alexandrin Popescul, Lyle H. Ungar, David M Pennock +1
Recommender systems leverage product and community information to target products to consumers. Researchers have developed collaborative recommenders, content-based recommenders, a…
1 Billion Pages = 1 Million Dollars? Mining the Web to Play "Who Wants to be a Millionaire?"
Shyong, K. Lam, David M Pennock +2
We exploit the redundancy and volume of information on the web to build a computerized player for the ABC TV game show 'Who Wants To Be A Millionaire?' The player consists of a que…