cikm 2015 论文列表Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015. |
UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics.
Yashar Moshfeghi Iadh Ounis Craig Macdonald Joemon M. Jose Peter Triantafillou Mark Livingston Piyushimita Thakuriah
TM 2015 - Topic Models: Post-Processing and Applications Workshop.
PIKM 2015: The 8th ACM Workshop for Ph.D. Students in Information and Knowledge Management.
NWSearch 2015: International Workshop on Novel Web Search Interfaces and Systems.
LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval.
Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'15).
ECol 2015: First international workshop on the Evaluation on Collaborative Information Seeking and Retrieval.
DTMBIO 2015: International Workshop on Data and Text Mining in Biomedical Informatics.
DOLAP 2015 Workshop Summary.
Improving Collaborative Filtering via Hidden Structured Constraint.
Improving Label Quality in Crowdsourcing Using Noise Correction.
Enhanced Word Embeddings from a Hierarchical Neural Language Model.
ASEM: Mining Aspects and Sentiment of Events from Microblog.
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence.
Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures.
Multi-view Clustering via Structured Low-rank Representation.
Update Summarization using Semi-Supervised Learning Based on Hellinger Distance.
Transductive Domain Adaptation with Affinity Learning.
Analyzing Document Intensive Business Processes using Ontology.
Structured Sparse Regression for Recommender Systems.
DeepCamera: A Unified Framework for Recognizing Places-of-Interest based on Deep ConvNets.
Core-Sets For Canonical Correlation Analysis.
A Fast k-Nearest Neighbor Search Using Query-Specific Signature Selection.
Mining the Minds of Customers from Online Chat Logs.
Identifying Top-k Consistent News-Casters on Twitter.
Fraud Transaction Recognition: A Money Flow Network Approach.
Real-time Rumor Debunking on Twitter.
A Probabilistic Rating Auto-encoder for Personalized Recommender Systems.
Identifying Attractive News Headlines for Social Media.
Probabilistic Non-negative Inconsistent-resolution Matrices Factorization.
Top-k Reliable Edge Colors in Uncertain Graphs.
Heterogeneous Multi-task Semantic Feature Learning for Classification.
Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction.
Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints.
Detecting Check-worthy Factual Claims in Presidential Debates.
A Clustering-based Approach to Detect Probable Outcomes of Lawsuits.
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment.
Towards Multi-level Provenance Reconstruction of Information Diffusion on Social Media.
Tom De Nies Io Taxidou Anastasia Dimou Ruben Verborgh Peter M. Fischer Erik Mannens Rik Van de Walle
DAAV: Dynamic API Authority Vectors for Detecting Software Theft.
Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text.
A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid.
Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity.
Best First Over-Sampling for Multilabel Classification.
Modeling Parameter Interactions in Ranking SVM.
Learning User Preferences for Topically Similar Documents.
Gauging Correct Relative Rankings For Similarity Search.
Query Length, Retrievability Bias and Performance.
Large-Scale Question Answering with Joint Embedding and Proof Tree Decoding.
Recommending Short-lived Dynamic Packages for Golf Booking Services.
Personalized Recommendation Meets Your Next Favorite.
Bottom-up Faceted Search: Creating Search Neighbourhoods with Datacube Cells.
Atypical Queries in eCommerce.
The Influence of Pre-processing on the Estimation of Readability of Web Documents.
Pooled Evaluation Over Query Variations: Users are as Diverse as Systems.
Query Auto-Completion for Rare Prefixes.
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites.
A Study of Query Length Heuristics in Information Retrieval.
A Convolutional Click Prediction Model.
Modelling the Usefulness of Document Collections for Query Expansion in Patient Search.
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection.
Social-Relational Topic Model for Social Networks.
On the Effect of "Stupid" Search Components on User Interaction with Search Engines.
Clustered Semi-Supervised Relevance Feedback.
A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling.
Identification of Microblogs Prominent Users during Events by Learning Temporal Sequences of Features.
Semi-Automated Text Classification for Sensitivity Identification.
On Predicting Deletions of Microblog Posts.
Balancing Exploration and Exploitation: Empirical Parameterization of Exploratory Search Systems.
Personalized Federated Search at LinkedIn.
Know Your Onions: Understanding the User Experience with the Knowledge Module in Web Search.
Structural Constraints for Multipartite Entity Resolution with Markov Logic Network.
Defragging Subgraph Features for Graph Classification.
A Flash-aware Buffering Scheme using On-the-fly Redo.
A Structured Query Model for the Deep Relational Web.
On Query-Update Independence for SPARQL.
RoadRank: Traffic Diffusion and Influence Estimation in Dynamic Urban Road Networks.
TriRank: Review-aware Explainable Recommendation by Modeling Aspects.
Toward Dual Roles of Users in Recommender Systems.
ORec: An Opinion-Based Point-of-Interest Recommendation Framework.
Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation.
Video Popularity Prediction by Sentiment Propagation via Implicit Network.
Central Topic Model for Event-oriented Topics Mining in Microblog Stream.
Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization.
Characterizing and Predicting Viral-and-Popular Video Content.
Does Vertical Bring more Satisfaction?: Predicting Search Satisfaction in a Heterogeneous Environment.
What Users Ask a Search Engine: Analyzing One Billion Russian Question Queries.
Behavioral Dynamics from the SERP's Perspective: What are Failed SERPs and How to Fix Them?
Struggling and Success in Web Search.
Efficient Incremental Evaluation of Succinct Regular Expressions.
Querying Temporal Drifts at Multiple Granularities.
Ordering Selection Operators Under Partial Ignorance.
Finding Probabilistic k-Skyline Sets on Uncertain Data.
Modeling Individual-Level Infection Dynamics Using Social Network Information.
Who With Whom And How?: Extracting Large Social Networks Using Search Engines.
DifRec: A Social-Diffusion-Aware Recommender System.
What Is a Network Community?: A Novel Quality Function and Detection Algorithms.
Ranking Entities for Web Queries Through Text and Knowledge.
Assessing the Impact of Syntactic and Semantic Structures for Answer Passages Reranking.
Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs.
More Accurate Question Answering on Freebase.
Building Representative Composite Items.
Short Text Similarity with Word Embeddings.
Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization.
Aggregation of Crowdsourced Ordinal Assessments and Integration with Learning to Rank: A Latent Trait Model.
An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model.
Comprehensible Models for Reconfiguring Enterprise Relational Databases to Avoid Incidents.
Inclusion Dependencies Reloaded.
On Gapped Set Intersection Size Estimation.
Large-Scale Analysis of Dynamics of Choice Among Discrete Alternatives.
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances.
Semi-Automated Exploration of Data Warehouses.
Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases.
Answering Questions with Complex Semantic Constraints on Open Knowledge Bases.
Chronological Citation Recommendation with Information-Need Shifting.
Discovering Canonical Correlations between Topical and Topological Information in Document Networks.
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset.
Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis.
Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation.
Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases.
Where you Instagram?: Associating Your Instagram Photos with Points of Interest.
Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation.
Location-Based Influence Maximization in Social Networks.
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events.
Ad Hoc Monitoring of Vocabulary Shifts over Time.
Learning Relative Similarity from Data Streams: Active Online Learning Approaches.
Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model.
Fast Distributed Correlation Discovery Over Streaming Time-Series Data.
F1: Accelerating the Optimization of Aggregate Continuous Queries.
Topic Modeling in Semantic Space with Keywords.
Deep Semantic Frame-Based Deceptive Opinion Spam Analysis.
The Role of Query Sessions in Interpreting Compound Noun Phrases.
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework.
KSGM: Keynode-driven Scalable Graph Matching.
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning.
A Novel Class Noise Estimation Method and Application in Classification.
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification.
Private Analysis of Infinite Data Streams via Retroactive Grouping.
Weighted Similarity Estimation in Data Streams.
Unsupervised Streaming Feature Selection in Social Media.
Unsupervised Feature Selection on Data Streams.
Process-Driven Data Privacy.
WaveCluster with Differential Privacy.
Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach.
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach.
An Optimization Framework for Propagation of Query-Document Features by Query Similarity Functions.
Deriving Intensional Descriptions for Web Services.
A Probabilistic Framework for Temporal User Modeling on Microblogs.
EsdRank: Connecting Query and Documents through External Semi-Structured Data.
Sampling Big Trajectory Data.
Efficient Computation of Trips with Friends and Families.
Range Search on Uncertain Trajectories.
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time.
Context-Adaptive Matrix Factorization for Multi-Context Recommendation.
GraRep: Learning Graph Representations with Global Structural Information.
MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning.
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF.
Extracting Interest Tags for Non-famous Users in Social Network.
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks.
Enterprise Social Link Recommendation.
Node Immunization over Infectious Period.
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation.
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder.
Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization.
L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning.
Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes.
Generalized Team Draft Interleaving.
Practical Aspects of Sensitivity in Online Experimentation with User Engagement Metrics.
Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons.
Towards Scalable and Complete Query Explanation with OWL 2 EL Ontologies.
Implementing Query Completeness Reasoning.
Interruption-Sensitive Empty Result Feedback: Rethinking the Visual Query Feedback Paradigm for Semistructured Data.
Efficient Computation of Polynomial Explanations of Why-Not Questions.
Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning.
A Cost-based Method for Location-Aware Publish/Subscribe Services.
GLUE: a Parameter-Tuning-Free Map Updating System.
ReverseCloak: Protecting Multi-level Location Privacy over Road Networks.
Making Sense of Spatial Trajectories.
An Inference Approach to Basic Level of Categorization.
A Min-Max Optimization Framework For Online Graph Classification.
Associative Classification with Statistically Significant Positive and Negative Rules.
Learning to Represent Knowledge Graphs with Gaussian Embedding.
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation.
Learning Entity Types from Query Logs via Graph-Based Modeling.
Profession-Based Person Search in Microblogs: Using Seed Sets to Find Journalists.
Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach.
Improving Microblog Retrieval with Feedback Entity Model.
A Network-Aware Approach for Searching As-You-Type in Social Media.
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion.
Characterizing and Predicting Voice Query Reformulation.
Who Will You "@"?
Mining Brokers in Dynamic Social Networks.
Organic or Organized?: Exploring URL Sharing Behavior.
Approximate Truth Discovery via Problem Scale Reduction.
An Integrated Bayesian Approach for Effective Multi-Truth Discovery.
Approximated Summarization of Data Provenance.
Query Relaxation across Heterogeneous Data Sources.
A Graph-based Recommendation across Heterogeneous Domains.
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks.
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks.
MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction.
10 Bits of Surprise: Detecting Malicious Users with Minimum Information.
Viewability Prediction for Online Display Ads.
Interactive User Group Analysis.
Robust Subspace Clustering via Tighter Rank Approximation.
Incomplete Multi-view Clustering via Subspace Learning.
gSparsify: Graph Motif Based Sparsification for Graph Clustering.
Clustering-based Active Learning on Sensor Type Classification in Buildings.
Leveraging Joint Interactions for Credibility Analysis in News Communities.
Sentiment Extraction by Leveraging Aspect-Opinion Association Structure.
Mining Coordinated Intent Representation for Entity Search and Recommendation.
Automated News Suggestions for Populating Wikipedia Entity Pages.
Searching and Stopping: An Analysis of Stopping Rules and Strategies.
An Optimization Framework for Merging Multiple Result Lists.
On the Cost of Extracting Proximity Features for Term-Dependency Models.
Rank by Time or by Relevance?: Revisiting Email Search.
Scalable Facility Location for Massive Graphs on Pregel-like Systems.
Identifying Top-k Structural Hole Spanners in Large-Scale Social Networks.
Towards Scale-out Capability on Social Graphs.
HDRF: Stream-Based Partitioning for Power-Law Graphs.
Entity and Aspect Extraction for Organizing News Comments.
Knowlywood: Mining Activity Knowledge From Hollywood Narratives.
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media.
Tumblr Blog Recommendation with Boosted Inductive Matrix Completion.
Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach.
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface.
Concept-Based Relevance Models for Medical and Semantic Information Retrieval.
Forming Online Support Groups for Internet and Behavior Related Addictions.
Ranking Deep Web Text Collections for Scalable Information Extraction.
External Knowledge and Query Strategies in Active Learning: a Study in Clinical Information Extraction.
Contextual Text Understanding in Distributional Semantic Space.
Lifespan-based Partitioning of Index Structures for Time-travel Text Search.
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks.
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank.
Approximate String Matching by End-Users using Active Learning.
A Soft Computing Approach for Learning to Aggregate Rankings.
Category-Driven Approach for Local Related Business Recommendations.
Search Result Diversification Based on Hierarchical Intents.
Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion.
Understanding the Impact of the Role Factor in Collaborative Information Retrieval.
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks.
A Parallel GPU-Based Approach to Clustering Very Fast Data Streams.
Dynamic Resource Management In a Massively Parallel Stream Processing Engine.
External Data Access And Indexing In AsterixDB.
Slow Search: Improving Information Retrieval Using Human Assistance.