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» Mining Very Large Databases
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RECSYS
2010
ACM
13 years 10 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
WWW
2011
ACM
13 years 4 months ago
Finding the bias and prestige of nodes in networks based on trust scores
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
Abhinav Mishra, Arnab Bhattacharya
WEBDB
2005
Springer
100views Database» more  WEBDB 2005»
14 years 3 months ago
Malleable Schemas: A Preliminary Report
Large-scale information integration, and in particular, search on the World Wide Web, is pushing the limits on the combination of structured data and unstructured data. By its ver...
Xin Dong, Alon Y. Halevy
ICDE
2001
IEEE
149views Database» more  ICDE 2001»
14 years 11 months ago
Selectivity Estimation for Spatial Joins
Spatial Joins are important and time consuming operations in spatial database management systems. It is crucial to be able to accurately estimate the performance of these operatio...
Ning An, Zhen-Yu Yang, Anand Sivasubramaniam
ICDE
2010
IEEE
202views Database» more  ICDE 2010»
14 years 9 months ago
Ranked Queries over Sources with Boolean Query Interfaces without Ranking Support
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keywo...
Panagiotis G. Ipeirotis, Vagelis Hristidis, Yuheng...