Title
Diversity and novelty in web search, recommender systems and data streams
Abstract
This tutorial aims to provide a unifying account of current research on diversity and novelty in the domains of web search, recommender systems, and data stream processing.
Year
DOI
Venue
2014
10.1145/2556195.2556199
WSDM
Keywords
Field
DocType
web search,recommender system,current research,data stream processing,unifying account,redundancy,relevance
Recommender system,Data mining,Data stream processing,World Wide Web,Data stream mining,Information retrieval,Computer science,Redundancy (engineering),Novelty,Ambiguity
Conference
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Rodrygo L.T. Santos188346.30
Pablo Castells21845108.79
Ismail Sengor Altingovde332029.96
Fazli Can458194.63