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» An Axiomatic Approach to Personalized Ranking Systems
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AINA
2005
IEEE
15 years 3 months ago
iHITS: Extending HITS for Personal Interests Profiling
Ever since the boom of World Wide Web, profiling online users' interests has become an important task for content providers. The traditional approach involves manual entry of...
Ziming Zhuang
ACSC
2000
IEEE
15 years 2 months ago
Needles and Haystacks: A Search Engine for Personal Information Collections
Information retrieval systems can be partitioned into two main classes: large-scale systems that make use of an inverted index or some other auxiliary data structure, intended for...
Owen de Kretser, Alistair Moffat
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
15 years 10 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini
IJCAI
2007
14 years 11 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
IAT
2010
IEEE
14 years 7 months ago
Comparing Tag Clouds, Term Histograms, and Term Lists for Enhancing Personalized Web Search
Although static ranked lists remain the dominant Web search interface, they can limit the ability of Web searchers to find desired information when it is buried deep in the collect...
Orland Hoeber, Hanze Liu