wsdm 2012 论文列表Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012. |
WSCD 2012: workshop on web search click data 2012.
2nd international workshop on diversity in document retrieval (DDR 2012).
Machine learning for query-document matching in search.
Collaborative information seeking: understanding users, systems, and content.
Mining, searching and exploiting collaboratively generated content on the web.
Characterizing and harnessing peer-production of information in social tagging systems.
The early bird gets the buzz: detecting anomalies and emerging trends in information networks.
Computational advertising: leveraging user interaction & contextual factors for improved ad relevance & targeting.
Exploration and discovery of user-generated content in large information spaces.
The secret life of social links.
Inferring social ties across heterogenous networks.
How to win friends and influence people, truthfully: influence maximization mechanisms for social networks.
Finding your friends and following them to where you are.
How user behavior is related to social affinity.
Effects of user similarity in social media.
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization.
Evaluating search in personal social media collections.
The life and death of online groups: predicting group growth and longevity.
When will it happen?: relationship prediction in heterogeneous information networks.
Tips, dones and todos: uncovering user profiles in foursquare.
Marisa A. Vasconcelos Saulo M. R. Ricci Jussara M. Almeida Fabrício Benevenuto Virgílio A. F. Almeida
What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities.
A large-scale sentiment analysis for Yahoo! answers.
A straw shows which way the wind blows: ranking potentially popular items from early votes.
Answers, not links: extracting tips from yahoo! answers to address how-to web queries.
Maximizing product adoption in social networks.
Understanding cyclic trends in social choices.
Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval.
Exploring social influence via posterior effect of word-of-mouth recommendations.
Adding semantics to microblog posts.
On clustering heterogeneous social media objects with outlier links.
Daily deals: prediction, social diffusion, and reputational ramifications.
Identifying content for planned events across social media sites.
Harmony and dissonance: organizing the people's voices on political controversies.
Correlating financial time series with micro-blogging activity.
"I loan because...": understanding motivations for pro-social lending.
Relational click prediction for sponsored search.
Fast top-k retrieval for model based recommendation.
Finding the right consumer: optimizing for conversion in display advertising campaigns.
Beyond ten blue links: enabling user click modeling in federated web search.
Learning to rank with multi-aspect relevance for vertical search.
Effective query formulation with multiple information sources.
Probabilistic models for personalizing web search.
David A. Sontag Kevyn Collins-Thompson Paul N. Bennett Ryen W. White Susan T. Dumais Bodo Billerbeck
Optimized top-k processing with global page scores on block-max indexes.
Domain bias in web search.
Tapping into knowledge base for concept feedback: leveraging conceptnet to improve search results for difficult queries.
IR system evaluation using nugget-based test collections.
Sequence clustering and labeling for unsupervised query intent discovery.
Large-scale analysis of individual and task differences in search result page examination strategies.
Language models for keyword search over data graphs.
Query suggestion by constructing term-transition graphs.
Extracting search-focused key n-grams for relevance ranking in web search.
Fair and balanced: learning to present news stories.
Personalized click model through collaborative filtering.
A noise-aware click model for web search.
Incorporating revisiting behaviors into click models.
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising.
Sponsored search auctions with conflict constraints.
Overlapping clusters for distributed computation.
Online selection of diverse results.
Selecting actions for resource-bounded information extraction using reinforcement learning.
WebSets: extracting sets of entities from the web using unsupervised information extraction.
To each his own: personalized content selection based on text comprehensibility.
Topical clustering of search results.
Characterizing web content, user interests, and search behavior by reading level and topic.
No search result left behind: branching behavior with browser tabs.
Mining slang and urban opinion words and phrases from cQA services: an optimization approach.
Comment spam detection by sequence mining.
Multi-relational matrix factorization using bayesian personalized ranking for social network data.
ETF: extended tensor factorization model for personalizing prediction of review helpfulness.
From chatter to headlines: harnessing the real-time web for personalized news recommendation.
Collaborative ranking.
Learning recommender systems with adaptive regularization.
Scalable inference in latent variable models.
Pairwise cross-domain factor model for heterogeneous transfer ranking.
Of hammers and nails: an empirical comparison of three paradigms for processing large graphs.
mTrust: discerning multi-faceted trust in a connected world.
Overcoming browser cookie churn with clustering.
Coupled temporal scoping of relational facts.
Mining contrastive opinions on political texts using cross-perspective topic model.
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data.
Object matching in tweets with spatial models.
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities.
Efficient misbehaving user detection in online video chat services.
Auralist: introducing serendipity into music recommendation.
Spatially-aware indexing for image object retrieval.
Nowcasting the macroeconomy with search engine data.