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» Supervised rank aggregation
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ICDE
2006
IEEE
150views Database» more  ICDE 2006»
14 years 10 months ago
Efficient Aggregation of Ranked Inputs
A top-k query combines different rankings of the same set of objects and returns the k objects with the highest combined score according to an aggregate function. We bring to ligh...
Nikos Mamoulis, Kit Hung Cheng, Man Lung Yiu, Davi...
RECSYS
2010
ACM
13 years 9 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
TKDE
2012
236views Formal Methods» more  TKDE 2012»
11 years 11 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
WSDM
2009
ACM
104views Data Mining» more  WSDM 2009»
14 years 3 months ago
Top-k aggregation using intersections of ranked inputs
There has been considerable past work on efficiently computing top k objects by aggregating information from multiple ranked lists of these objects. An important instance of this...
Ravi Kumar, Kunal Punera, Torsten Suel, Sergei Vas...
PREMI
2011
Springer
12 years 11 months ago
Finding Potential Seeds through Rank Aggregation of Web Searches
This paper presents a potential seed selection algorithm for web crawlers using a gain - share scoring approach. Initially we consider a set of arbitrarily chosen tourism queries. ...
Rajendra Prasath, Pinar Öztürk