BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
data (12)
web (8)
search (7)
retriev (5)
model (4)

Stem clickthrough$ (all stems)

20 papers:

CHICHI-2012-TopkaraPLDWB #email #enterprise #quote #video
“You’ve got video”: increasing clickthrough when sharing enterprise video with email (MT, SP, JCL, AD, SW, JB), pp. 565–568.
SIGIRSIGIR-2011-GaoTY #modelling #semantics #web
Clickthrough-based latent semantic models for web search (JG, KT, WtY), pp. 675–684.
SIGIRSIGIR-2011-HeZSLY #evaluation #retrieval #web
Efficiently collecting relevance information from clickthroughs for web retrieval system evaluation (JH, WXZ, BS, XL, HY), pp. 275–284.
SIGIRSIGIR-2011-LiHZW #information retrieval #query #segmentation #using
Unsupervised query segmentation using clickthrough for information retrieval (YL, BJPH, CZ, KW), pp. 285–294.
CIKMCIKM-2010-GaoHN #modelling #web #word
Clickthrough-based translation models for web search: from word models to phrase models (JG, XH, JYN), pp. 1139–1148.
CIKMCIKM-2009-HeZL #comparison #evaluation #retrieval
Evaluation of methods for relative comparison of retrieval systems based on clickthroughs (JH, CZ, XL), pp. 2029–2032.
KDDKDD-2009-GuptaBR #learning
Catching the drift: learning broad matches from clickthrough data (SG, MB, MR), pp. 1165–1174.
KDDKDD-2009-WangWZ #named #quality #ranking #web
PSkip: estimating relevance ranking quality from web search clickthrough data (KW, TW, ZZ), pp. 1355–1364.
SIGIRSIGIR-2009-GaoYLDN #ranking #web
Smoothing clickthrough data for web search ranking (JG, WY, XL, KD, JYN), pp. 355–362.
CIKMCIKM-2008-CustisA #corpus #query #statistics
Investigating external corpus and clickthrough statistics for query expansion in the legal domain (TC, KAK), pp. 1363–1364.
CIKMCIKM-2008-MaYKL #learning #query #semantics
Learning latent semantic relations from clickthrough data for query suggestion (HM, HY, IK, MRL), pp. 709–718.
CIKMCIKM-2008-RadlinskiKJ #how #quality #question #retrieval
How does clickthrough data reflect retrieval quality? (FR, MK, TJ), pp. 43–52.
ECIRECIR-2008-ShokouhiST #documentation #effectiveness #order
Investigating the Effectiveness of Clickthrough Data for Document Reordering (MS, FS, AT), pp. 591–595.
KDDKDD-2007-RadlinskiJ #learning #ranking
Active exploration for learning rankings from clickthrough data (FR, TJ), pp. 570–579.
SIGIRSIGIR-2007-ClarkeADW #web
The influence of caption features on clickthrough patterns in web search (CLAC, EA, STD, RWW), pp. 135–142.
SIGIRSIGIR-2007-YeungCB #documentation #retrieval
Improving retrieval accuracy by weighting document types with clickthrough data (PCKY, CLAC, SB), pp. 759–760.
ECIRECIR-2005-JiangSZ #web
Applying Associative Relationship on the Clickthrough Data to Improve Web Search (XMJ, WGS, HJZ), pp. 475–486.
SIGIRSIGIR-2005-JoachimsGPHG #feedback
Accurately interpreting clickthrough data as implicit feedback (TJ, LAG, BP, HH, GG), pp. 154–161.
SIGIRSIGIR-2005-SunSZYLC #summary #using
Web-page summarization using clickthrough data (JTS, DS, HJZ, QY, YL, ZC), pp. 194–201.
KDDKDD-2002-Joachims #optimisation #using
Optimizing search engines using clickthrough data (TJ), pp. 133–142.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.