SIGIR 2011 - PDF Preprint Papers

SIGIR 2011 Annual ACM Conference on Research and Development in Information Retrieval

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed SIGIR-2011 Paper

click to vote

SIGIR
2011
ACM

362views Information Technology» more SIGIR 2011»

Faster top-k document retrieval using block-max indexes

12 years 7 months ago

Download cis.poly.edu

Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...

Shuai Ding, Torsten Suel

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Related Conferences

Id	Views	Title	Status

1	362	Faster top-k document retrieval using block-max indexes	claim
2	318	Utilizing marginal net utility for recommendation in e-commerce	claim
3	315	Mining weakly labeled web facial images for search-based face annotation	claim
4	315	Learning search tasks in queries and web pages via graph regularization	claim
5	304	Find it if you can: a game for modeling different types of web search success using interaction data	claim
6	303	Decayed DivRank: capturing relevance, diversity and prestige in information networks	claim
7	277	Collaborative competitive filtering: learning recommender using context of user choice	claim
8	273	Bagging gradient-boosted trees for high precision, low variance ranking models	claim
9	262	Picasso - to sing, you must close your eyes and draw	claim
10	260	Active learning to maximize accuracy vs. effort in interactive information retrieval	claim
11	259	When documents are very long, BM25 fails!	claim
12	257	No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity	claim
13	253	Time-based query performance predictors	claim
14	239	Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval	claim
15	239	Inverted indexes for phrases and strings	claim
16	239	Functional matrix factorizations for cold-start recommendation	claim
17	237	The economics in interactive information retrieval	claim
18	232	Parallel learning to rank for information retrieval	claim
19	229	ViewSer: enabling large-scale remote user studies of web search examination and interaction	claim
20	228	A boosting approach to improving pseudo-relevance feedback	claim
21	226	Learning to rank from a noisy crowd	claim
22	223	Cluster-based fusion of retrieved lists	claim
23	223	Why searchers switch: understanding and predicting engine switching rationales	claim
24	222	Utilizing minimal relevance feedback for ad hoc retrieval	claim
25	220	Pseudo test collections for learning web search ranking functions	claim
26	218	Ad hoc IR: not much room for improvement	claim
27	217	Learning online discussion structures by conditional random fields	claim
28	215	Collective topic modeling for heterogeneous networks	claim
29	210	Faster temporal range queries over versioned text	claim
30	204	Social context summarization	claim
31	195	The meaning of structure: the value of link evidence for information retrieval	claim
32	194	Fourth international workshop on uncovering plagiarism, authorship, and social software misuse	claim
33	193	On the suitability of diversity metrics for learning-to-rank for diversity	claim
34	191	Predicting web searcher satisfaction with existing community-based answers	claim
35	189	Fast context-aware recommendations with factorization machines	claim
36	189	The interactive PRP for diversifying document rankings	claim
37	188	Parameterized concept weighting in verbose queries	claim
38	186	Out of sight, not out of mind: on the effect of social and physical detachment on information need	claim
39	177	What deliberately degrading search quality tells us about discount functions	claim
40	173	Disambiguating biomedical acronyms using EMIM	claim
41	173	Mining tags using social endorsement networks	claim
42	171	Relevant knowledge helps in choosing right teacher: active query selection for ranking adaptation	claim
43	151	How diverse are web search results?	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers