We investigate how to support ranked keyword search in a Parallel Search Cluster Network, which is a newly proposed peer-to-peer network overlay. In particular, we study how to eï...
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
In classic InformationRetrieval systems a relevant document will not be retrieved in response to a query if the document and query representations do not share at least one term. T...
There has been a great amount of work on query-independent summarization of documents. However, due to the success of Web search engines query-specific document summarization (que...
We propose the implementation of a distributed system for DL storage and retrieval which relies on two earlier developed technologies: buckets and document linking based on user r...