Sciweavers

SIGIR
2006
ACM
14 years 5 months ago
Load balancing for term-distributed parallel retrieval
Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacity of any single machine. To handle the necessary data volumes and query through...
Alistair Moffat, William Webber, Justin Zobel
JCDL
2006
ACM
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14 years 5 months ago
Combining DOM tree and geometric layout analysis for online medical journal article segmentation
We describe an HTML web page segmentation algorithm, which is applied to segment online medical journal articles (regular HTML and PDF-Converted-HTML files). The web page content ...
Jie Zou, Daniel X. Le, George R. Thoma
ICALP
2007
Springer
14 years 5 months ago
Deterministic History-Independent Strategies for Storing Information on Write-Once Memories
Motivated by the challenging task of designing “secure” vote storage mechanisms, we study information storage mechanisms that operate in extremely hostile environments. In suc...
Tal Moran, Moni Naor, Gil Segev
CIKM
2009
Springer
14 years 6 months ago
Collaborative filtering using random neighbours in peer-to-peer networks
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
Arno Bakker, Elth Ogston, Maarten van Steen
WWW
2004
ACM
15 years 6 days ago
Remindin': semantic query routing in peer-to-peer networks based on social metaphors
In peer-to-peer networks, finding the appropriate answer for an information request, such as the answer to a query for RDF(S) data, depends on selecting the right peer in the netw...
Christoph Tempich, Steffen Staab, Adrian Wranik
WWW
2004
ACM
15 years 6 days ago
Shilling recommender systems for fun and profit
Recommender systems have emerged in the past several years as an effective way to help people cope with the problem of information overload. One application in which they have bec...
Shyong K. Lam, John Riedl
WWW
2004
ACM
15 years 6 days ago
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
We present a principled methodology for filtering news stories by formal measures of information novelty, and show how the techniques can be used to custom-tailor newsfeeds based ...
Evgeniy Gabrilovich, Susan T. Dumais, Eric Horvitz