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» An Optimization Framework for Query Recommendation
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ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
ICCS
2000
Springer
13 years 11 months ago
A Conceptual Graph Model for W3C Resource Description Framework
With the aim of building a "Semantic Web", the content of the documents must be explicitly represented through metadata in order to enable contents-guided search. Our app...
Olivier Corby, Rose Dieng, Cédric Hé...
SIGMOD
2002
ACM
172views Database» more  SIGMOD 2002»
14 years 7 months ago
Automating physical database design in a parallel database
Physical database design is important for query performance in a shared-nothing parallel database system, in which data is horizontally partitioned among multiple independent node...
Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman
HT
2009
ACM
14 years 1 months ago
Improving recommender systems with adaptive conversational strategies
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Tariq Mahmood, Francesco Ricci
WWW
2003
ACM
14 years 8 months ago
Finding Relevant Website Queries
Search engine traffic is central to the success of many websites. By analyzing the queries-to-results graph generated by a search engine, our tool can recommend relevant queries f...
Brian D. Davison, David G. Deschenes, David B. Lew...