KDD 2012 - PDF Preprint Papers

KDD 2012 International Conference on Knowledge Discovery and Data Mining

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KDD
2012
ACM

292views Data Mining» more KDD 2012»

Online allocation of display ads with smooth delivery

12 years 1 months ago

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Display ads on the Internet are often sold in bundles of thousands or millions of impressions over a particular time period, typically weeks or months. Ad serving systems that ass...

Anand Bhalgat, Jon Feldman, Vahab S. Mirrokni

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Id	Views	Title	Status

1	292	Online allocation of display ads with smooth delivery	claim
2	281	Active spectral clustering via iterative uncertainty reduction	claim
3	271	GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries	claim
4	263	Integrating community matching and outlier detection for mining evolutionary community outliers	claim
5	257	Aggregating web offers to determine product prices	claim
6	254	Playlist prediction via metric embedding	claim
7	247	Coupled behavior analysis for capturing coupling relationships in group-based market manipulations	claim
8	247	Integrating meta-path selection with user-guided object clustering in heterogeneous information networks	claim
9	244	Open domain event extraction from twitter	claim
10	243	Storytelling in entity networks to support intelligence analysts	claim
11	242	Query-driven discovery of semantically similar substructures in heterogeneous networks	claim
12	238	Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data	claim
13	235	A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data	claim
14	229	Finding trendsetters in information networks	claim
15	226	TourViz: interactive visualization of connection pathways in large graphs	claim
16	222	Rise and fall patterns of information diffusion: model and implications	claim
17	221	Fast mining and forecasting of complex time-stamped events	claim
18	220	ComSoc: adaptive transfer of user behaviors over composite social network	claim
19	217	Cross-domain collaboration recommendation	claim
20	217	The long and the short of it: summarising event sequences with serial episodes	claim
21	212	Fast bregman divergence NMF using taylor expansion and coordinate descent	claim
22	212	Factoring past exposure in display advertising targeting	claim
23	212	eTrust: understanding trust evolution in an online world	claim
24	212	Harnessing the wisdom of the crowds for accurate web page clipping	claim
25	207	Robust multi-task feature learning	claim
26	205	Rank-loss support instance machines for MIML instance annotation	claim
27	205	From user comments to on-line conversations	claim
28	205	Searching and mining trillions of time series subsequences under dynamic time warping	claim
29	205	Intrusion as (anti)social communication: characterization and detection	claim
30	202	UFIMT: an uncertain frequent itemset mining toolbox	claim
31	201	Low rank modeling of signed networks	claim
32	201	Learning from crowds in the presence of schools of thought	claim
33	200	Vertex neighborhoods, low conductance cuts, and good seeds for local community methods	claim
34	199	Trustworthy online controlled experiments: five puzzling outcomes explained	claim
35	197	On the separability of structural classes of communities	claim
36	196	Chromatic correlation clustering	claim
37	194	A sparsity-inducing formulation for evolutionary co-clustering	claim
38	190	The untold story of the clones: content-agnostic factors that impact YouTube video popularity	claim
39	190	Multi-label hypothesis reuse	claim
40	188	A probabilistic model for multimodal hash function learning	claim
41	187	Online learning to diversify from implicit feedback	claim
42	187	Sampling minimal frequent boolean (DNF) patterns	claim
43	187	Unsupervised feature selection for linked social media data	claim
44	186	Maximum inner-product search using cone trees	claim
45	185	A framework for summarizing and analyzing twitter feeds	claim
46	183	Mining discriminative components with low-rank and sparsity constraints for face recognition	claim
47	181	On "one of the few" objects	claim
48	180	Mining heterogeneous information networks: the next frontier	claim
49	179	Transparent user models for personalization	claim
50	179	Web image prediction using multivariate point processes	claim
51	178	Differentially private transit data publication: a case study on the montreal transportation system	claim
52	178	Mining emerging patterns by streaming feature selection	claim
53	178	Mining event periodicity from incomplete observations	claim
54	177	Random forests for metric learning with implicit pairwise position dependence	claim
55	168	Mining contentions from discussions and debates	claim
56	166	Selecting a characteristic set of reviews	claim
57	165	PatentMiner: topic-driven patent analysis and mining	claim
58	164	SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs	claim

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