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ACM Transactions on Information Systems (TOIS), Volume 27 Issue 4, November 2009

PageRank: Functional dependencies
Paolo Boldi, Massimo Santini, Sebastiano Vigna
Article No.: 19
DOI: 10.1145/1629096.1629097

Building a framework for the probability ranking principle by a family of expected weighted rank
Edward Kai Fung Dang, Ho Chung Wu, Robert Wing Pong Luk, Kam Fai Wong
Article No.: 20
DOI: 10.1145/1629096.1629098

A new principles framework is presented for retrieval evaluation of ranked outputs. It applies decision theory to model relevance decision preferences and shows that the Probability Ranking Principle (PRP) specifies optimal ranking. It has two new...

A few good topics: Experiments in topic set reduction for retrieval evaluation
John Guiver, Stefano Mizzaro, Stephen Robertson
Article No.: 21
DOI: 10.1145/1629096.1629099

We consider the issue of evaluating information retrieval systems on the basis of a limited number of topics. In contrast to statistically-based work on sample sizes, we hypothesize that some topics or topic sets are better than others at...

A distributed, service-based framework for knowledge applications with multimedia
David Dupplaw, Srinandan Dasmahapatra, Bo Hu, Paul Lewis, Nigel Shadbolt
Article No.: 22
DOI: 10.1145/1629096.1629100

The current trend in distributed systems is towards service-based integration. This article describes an ontology-driven framework implemented to provide knowledge management for data of different modalities, with multimedia processing,...

Cyberchondria: Studies of the escalation of medical concerns in Web search
Ryen W. White, Eric Horvitz
Article No.: 23
DOI: 10.1145/1629096.1629101

The World Wide Web provides an abundant source of medical information. This information can assist people who are not healthcare professionals to better understand health and illness, and to provide them with feasible explanations for symptoms....

MUADDIB: A distributed recommender system supporting device adaptivity
Domenico Rosaci, Giuseppe M. L. Sarné, Salvatore Garruzzo
Article No.: 24
DOI: 10.1145/1629096.1629102

Web recommender systems are Web applications capable of generating useful suggestions for visitors of Internet sites. However, in the case of large user communities and in presence of a high number of Web sites, these tasks are computationally...