During visual analysis, users must often connect insights discovered at various points of time to understand implicit relations within their analysis. This process is often called...
Although there are high expectations for collaborative discussion and on-line learning, existing systems for on-line discussion and chat facilities are not fully effective in prom...
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Click Through Rate (CTR) is an important metric for ad systems, job portals, recommendation systems. CTR impacts publisher's revenue, advertiser's bid amounts in "p...
A recurring manual task in data integration, ontology alignment or model management is finding mappings between complex meta data structures. In order to reduce the manual effor...