6 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
Spatial Object Recommendation with Hints: When Spatial Granularity Matters
Hui Luo, Jingbo Zhou, Zhifeng Bao +5
Existing spatial object recommendation algorithms generally treat objects identically when ranking them. However, spatial objects often cover different levels of spatial granularit…
RMITB at TREC COVID 2020
Rodger Benham, Alistair Moffat, J. Shane Culpepper
Search engine users rarely express an information need using the same query, and small differences in queries can lead to very different result sets. These user query variations ha…
The Potential of Learned Index Structures for Index Compression
Harrie Oosterhuis, J. Shane Culpepper, Maarten de Rijke
Inverted indexes are vital in providing fast key-word-based search. For every term in the document collection, a list of identifiers of documents in which the term appears is store…
Boosting Search Performance Using Query Variations
Rodger Benham, Joel Mackenzie, Alistair Moffat +1
Rank fusion is a powerful technique that allows multiple sources of information to be combined into a single result set. However, to date fusion has not been regarded as being cost…
Assessing Efficiency-Effectiveness Tradeoffs in Multi-Stage Retrieval Systems Without Using Relevance Judgments
Charles L. A. Clarke, J. Shane Culpepper, Alistair Moffat
Large-scale retrieval systems are often implemented as a cascading sequence of phases -- a first filtering step, in which a large set of candidate documents are extracted using a s…