Diverse Retrieval via Greedy Optimization of Expected 1-call@k in a Latent Subtopic Relevance Model
dc.contributor.author | Sanner, Scott | |
dc.contributor.author | Guo, Shengbo | |
dc.contributor.author | Graepel, Thore | |
dc.contributor.author | Kharazmi, Sadegh | |
dc.contributor.author | Karimi, Sarvnaz | |
dc.coverage.spatial | Glasgow UK | |
dc.date.accessioned | 2015-12-10T21:54:49Z | |
dc.date.created | October 24-28 2011 | |
dc.date.issued | 2011 | |
dc.date.updated | 2015-12-09T07:29:09Z | |
dc.identifier.isbn | 9781450307178 | |
dc.identifier.uri | http://hdl.handle.net/1885/39100 | |
dc.publisher | Association for Computing Machinery Inc (ACM) | |
dc.relation.ispartofseries | ACM Conference on Information and Knowledge Management (CIKM 2011) | |
dc.source | Diverse Retrieval via Greedy Optimization of Expected 1-call@k in a Latent Subtopic Relevance Model | |
dc.title | Diverse Retrieval via Greedy Optimization of Expected 1-call@k in a Latent Subtopic Relevance Model | |
dc.type | Conference paper | |
local.bibliographicCitation.startpage | 4 | |
local.contributor.affiliation | Sanner, Scott, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Guo, Shengbo, Xerox Research Centre | |
local.contributor.affiliation | Graepel, Thore, Microsoft Research | |
local.contributor.affiliation | Kharazmi, Sadegh, RMIT University | |
local.contributor.affiliation | Karimi, Sarvnaz, University of Melbourne | |
local.contributor.authoruid | Sanner, Scott, u1817461 | |
local.description.embargo | 2037-12-31 | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
local.identifier.absfor | 080109 - Pattern Recognition and Data Mining | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
local.identifier.ariespublication | u4963866xPUB171 | |
local.type.status | Published Version |
Downloads
Original bundle
1 - 1 of 1
Loading...
- Name:
- 01_Sanner_Diverse_Retrieval_via_Greedy_2011.pdf
- Size:
- 253.37 KB
- Format:
- Adobe Portable Document Format