Jul 27, 2013 · We present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents.

Abstract We present an approach to query modeling that leverages the temporal dis- tribution of documents in an initially retrieved set of documents.

We present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents.

We present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents.

We present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents.

We present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents.

In this paper, we present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents. Query ...

Nov 14, 2018 · Maria-Hendrike Peetz, Edgar Meij, Maarten de Rijke : Using temporal bursts for query modeling. Inf. Retr. 17(1): 74-108 (2014).

Using temporal bursts for query modeling. Maria-Hendrike Peetz, Edgar Meij, Maarten de Rijke. Anthology ID: DBLP:journals/ir/PeetzMR14; Volume: 2014 Volume 17 ...

For the AP dataset, autocorrelation was positively correlated with the rank of average query precision at the 0.01 level, and burst weight savings was ...