In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
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...
Hierarchies provide a means of organizing, summarizing and accessing information. We describe a method for automatically generating hierarchies from small collections of text, and...
Abstract—A text filtering system monitors a stream of incoming documents, to identify those that match the interest profiles of its users. The user interests are registered at ...
The present work covers a comparison of the text retrieval qualities of open source relational databases and Lucene, which is a full text search engine library, over English docume...