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A Review of Information Filtering Part II: Collaborative Filtering

A Review of Information Filtering Part II: Collaborative Filtering

A Review of Information Filtering Part II: Collaborative Filtering. Chengxiang Zhai Language Technologies Institiute School of Computer Science Carnegie Mellon University. Outline. A Conceptual Framework for Collaborative Filtering (CF) Rating-based Methods (Breese et al. 98)

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734 views • 47 slides
Exploiting Criticality to Reduce Bottlenecks in Distributed Uniprocessors

Exploiting Criticality to Reduce Bottlenecks in Distributed Uniprocessors

Exploiting Criticality to Reduce Bottlenecks in Distributed Uniprocessors. Behnam Robatmili and Sibi Govindan University of Texas at Austin Doug Burger Microsoft Research Stephen W. Keckler Architecture Research Group, NVIDIA & University of Texas at Austin. Motivation.

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558 views • 46 slides
Merging network patterns: a general framework to summarize biomedical network data

Merging network patterns: a general framework to summarize biomedical network data

Merging network patterns: a general framework to summarize biomedical network data. Yang Xiang, David Fuhry, Kamer Kaya, Ruoming Jin, Umit V. Catalyurek, Kun Huang Network Modeling Analysis in Health Informatics and Bioinformatics. Introduction.

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380 views • 26 slides
Distributed Information Retrieval

Distributed Information Retrieval

Distributed Information Retrieval. Jamie Callan Carnegie Mellon University callan@cs.cmu.edu. Engine n. Engine 1. Engine 2. Engine 3. Engine 4. Multi-Database Solutions: Distributed Information Retrieval. . . . . ?. . . . . . . Common scenarios: Multiple partitions, single service

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446 views • 8 slides

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