Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Sub-2-Sub: Self-Organizing Content-Based Publish Subscribe for Dynamic Large Scale Collaborative Networks
Meghdoot: Content-based publish/subscribe over p2p networks
Clustering algorithms for content-based publication-subscription systems
MERC: Match at Edge and Route intra--Cluster for Content-based Publish/Subscribe Systems
Information Flow Control Models in Peer-to-Peer Publish/Subscribe Systems
Match-Ladder: An efficient event matching algorithm in large-scale content-based publish/subscribe system
A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network
GroupLens: an open architecture for collaborative filtering of netnews
Bloom filter based routing for content-based publish/subscribe
Exactly-once delivery in a content-based publish-subscribe system
combining content - based and collaborative filters in an online newspaper combining content - based and collaborative filters in an online newspaper .
Distributed Event Routing in Publish/Subscribe Communication Systems: a Survey
Google news personalization: scalable online collaborative filtering
An Adaptive Social Network for Information Access: Theoretical and Experimental Results
Storm Pub-Sub: High Performance, Scalable Content Based Event Matching System Using Storm
Efficient publish/subscribe through a self-organizing broker overlay and its application to SIENA
Combining content-based and collaborative recommendations: A hybrid approach based on Bayesian networks
Parallel and Distributed Collaborative Filtering: A Survey
Preference-aware content dissemination in opportunistic mobile social networks
Grouplens: Applying collaborative filtering to usenet news
Minimizing the Communication Cost of Aggregation in Publish/Subscribe Systems
Genetic algorithm based test data generator
Application-Level Multicast Using Content-Addressable Networks
Statistical Machine Translation in Low Resource Settings
Handbook of Writing for the Mathematical Sciences
Online Clustering of Bandits