Competitive recommendation systems

Conference Proceedings of the Annual ACM Symposium on Theory of Computing

Volumn , Issue , 2002, Pages 82-90

  Drineas, Petros ^a   Kerenidis, Iordanis ^a   Raghavan, Prabhakar ^a  

^a Yale University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPETITIVE INTELLIGENCE; MARKOV PROCESSES; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBABILITY; THEOREM PROVING;

COMPETITIVE RECOMMENDATION SYSTEM; MATRIX RECONSTRUCTION SCHEME;

ALGORITHMS;

EID: 0036040047     PISSN: 07349025     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/509907.509922     Document Type: Conference Paper

References (35)

1. Fast computation of low rank approximations
2. User models: Theory, method and practice
3. Spectral analysis of data
4. Using linear algebra for intelligent information retrieval
5. Eigenvalues and graph bisection: An average-case analysis
6. On targeting Markov segments
7. Indexing by latent semantic analysis
8. Clustering in large graphs and matrices
9. Fast Monte-Carlo algorithms for approximate matrix multiplication
10. Fast Monte-Carlo algorithms for finding low rank approximations
11. The eigenvalues of random symmetric matrices
12. Marketing in an information-intensive environment: Strategic implications of knowledge as an asset
13. Using collaborative filtering to weave an information tapestry
14. Probability inequalities for sums of bounded random variables
15. Recommending and evaluating choices in a virtual community of use
16. Marketing in hypermedia computer-mediated environments: Conceptual foundations
17. Segmentation problems
18. On the value of private information
19. Recommender systems: A probabilistic analysis
20. Experiences with grouplens: Making usenet useful again
21. Latent semantic indexing: A probabilistic analysis
22. Grouplens: An open architecture for collaborative filtering of netnews
23. Social information filtering for music recommendation
24. Social information filtering: Algorithms for automating "word of mouth"
25. A theory of the learnable
26. Resource on collaborative filtering
27. CACM Special issue on recommender systems