Conference Proceedings
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CIKM '15- Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Full Citation in the ACM Digital LibrarySESSION: Keynote Address I
Slow Search: Improving Information Retrieval Using Human Assistance
SESSION: Session 1A: Scalability
External Data Access And Indexing In AsterixDB
Dynamic Resource Management In a Massively Parallel Stream Processing Engine
A Parallel GPU-Based Approach to Clustering Very Fast Data Streams
Scalable Clustering Algorithm via a Triangle Folding Processing for Complex Networks
SESSION: Session 1B: Personal Search
Understanding the Impact of the Role Factor in Collaborative Information Retrieval
Experiments with a Venue-Centric Model for Personalisedand Time-Aware Venue Suggestion
Search Result Diversification Based on Hierarchical Intents
Category-Driven Approach for Local Related Business Recommendations
SESSION: Session 1C: Learning
A Soft Computing Approach for Learning to Aggregate Rankings
Approximate String Matching by End-Users using Active Learning
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks
SESSION: Session 1D: Text Processing
Lifespan-based Partitioning of Index Structures for Time-travel Text Search
Contextual Text Understanding in Distributional Semantic Space
External Knowledge and Query Strategies in Active Learning: a Study in Clinical Information Extraction
Ranking Deep Web Text Collections for Scalable Information Extraction
SESSION: Session 1E: Applications
Forming Online Support Groups for Internet and Behavior Related Addictions
Concept-Based Relevance Models for Medical and Semantic Information Retrieval
PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface
Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach
SESSION: Session 1F: Social Media 1
Tumblr Blog Recommendation with Boosted Inductive Matrix Completion
BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media
Knowlywood: Mining Activity Knowledge From Hollywood Narratives
Entity and Aspect Extraction for Organizing News Comments
SESSION: Session 2A: Graphs
HDRF: Stream-Based Partitioning for Power-Law Graphs
Towards Scale-out Capability on Social Graphs
Identifying Top-k Structural Hole Spanners in Large-Scale Social Networks
Scalable Facility Location for Massive Graphs on Pregel-like Systems
SESSION: Session 2B: Retrieval Algorithms
Rank by Time or by Relevance?: Revisiting Email Search
On the Cost of Extracting Proximity Features for Term-Dependency Models
An Optimization Framework for Merging Multiple Result Lists
Searching and Stopping: An Analysis of Stopping Rules and Strategies
SESSION: Session 2C: Text Analysis
Automated News Suggestions for Populating Wikipedia Entity Pages
Mining Coordinated Intent Representation for Entity Search and Recommendation
Sentiment Extraction by Leveraging Aspect-Opinion Association Structure
Leveraging Joint Interactions for Credibility Analysis in News Communities
SESSION: Session 2D: Clustering
Clustering-based Active Learning on Sensor Type Classification in Buildings
gSparsify: Graph Motif Based Sparsification for Graph Clustering
Incomplete Multi-view Clustering via Subspace Learning
Robust Subspace Clustering via Tighter Rank Approximation
SESSION: Session 2E: Users and Predictions
Interactive User Group Analysis
Viewability Prediction for Online Display Ads
10 Bits of Surprise: Detecting Malicious Users with Minimum Information
MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction
SESSION: Session 2F: Heterogeneous Networks
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks
A Graph-based Recommendation across Heterogeneous Domains
Query Relaxation across Heterogeneous Data Sources
SESSION: Session 3A: Veracity
Approximated Summarization of Data Provenance
An Integrated Bayesian Approach for Effective Multi-Truth Discovery
Approximate Truth Discovery via Problem Scale Reduction
SESSION: Session 3B: Social Networks 1
Organic or Organized?: Exploring URL Sharing Behavior
Mining Brokers in Dynamic Social Networks
Who Will You "@"?
SESSION: Session 3C: Query Completion
Characterizing and Predicting Voice Query Reformulation
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion
A Network-Aware Approach for Searching As-You-Type in Social Media
SESSION: Session 3D: Microblogs
Improving Microblog Retrieval with Feedback Entity Model
Extracting Situational Information from Microblogs during Disaster Events: a Classification-Summarization Approach
Profession-Based Person Search in Microblogs: Using Seed Sets to Find Journalists
SESSION: Session 3E: Graph-Based Analysis
Learning Entity Types from Query Logs via Graph-Based Modeling
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation
Learning to Represent Knowledge Graphs with Gaussian Embedding
SESSION: Session 3F: Classification 1
Associative Classification with Statistically Significant Positive and Negative Rules
A Min-Max Optimization Framework For Online Graph Classification
An Inference Approach to Basic Level of Categorization
SESSION: Keynote Address II
Making Sense of Spatial Trajectories
SESSION: Session 4A: Location-Based Services
ReverseCloak: Protecting Multi-level Location Privacy over Road Networks
GLUE: a Parameter-Tuning-Free Map Updating System
A Cost-based Method for Location-Aware Publish/Subscribe Services
Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning
SESSION: Session 4B: Query Explanation
Efficient Computation of Polynomial Explanations of Why-Not Questions
Interruption-Sensitive Empty Result Feedback: Rethinking the Visual Query Feedback Paradigm for Semistructured Data
Implementing Query Completeness Reasoning
Towards Scalable and Complete Query Explanation with OWL 2 EL Ontologies
SESSION: Session 4C: Crowds
Crowdsourcing Pareto-Optimal Object Finding By Pairwise Comparisons
Practical Aspects of Sensitivity in Online Experimentation with User Engagement Metrics
Generalized Team Draft Interleaving
Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes
SESSION: Session 4D: Optimization
L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning
Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation
SESSION: Session 4E: Social Networks 2
Node Immunization over Infectious Period
Enterprise Social Link Recommendation
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks
Extracting Interest Tags for Non-famous Users in Social Network
SESSION: Session 4F: Matrix Factorization
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF
MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning
GraRep: Learning Graph Representations with Global Structural Information
Context-Adaptive Matrix Factorization for Multi-Context Recommendation
SESSION: Session 5A: Trips and Trajectories
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time
Range Search on Uncertain Trajectories
Efficient Computation of Trips with Friends and Families
Sampling Big Trajectory Data
SESSION: Session 5B: Retrieval Enhancements 1
EsdRank: Connecting Query and Documents through External Semi-Structured Data
A Probabilistic Framework for Temporal User Modeling on Microblogs
Deriving Intensional Descriptions for Web Services
An Optimization Framework for Propagation of Query-Document Features by Query Similarity Functions
SESSION: Session 5C: Privacy
Rank Consistency based Multi-View Learning: A Privacy-Preserving Approach
Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach
WaveCluster with Differential Privacy
Process-Driven Data Privacy
SESSION: Session 5D: Data Streams
Unsupervised Feature Selection on Data Streams
Unsupervised Streaming Feature Selection in Social Media
Weighted Similarity Estimation in Data Streams
Private Analysis of Infinite Data Streams via Retroactive Grouping
SESSION: Session 5E: Classification 2
Parallel Lazy Semi-Naive Bayes Strategies for Effective and Efficient Document Classification
A Novel Class Noise Estimation Method and Application in Classification
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning
KSGM: Keynode-driven Scalable Graph Matching
SESSION: Session 5F: Sentiment and Content Analysis
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework
The Role of Query Sessions in Interpreting Compound Noun Phrases
Deep Semantic Frame-Based Deceptive Opinion Spam Analysis
Topic Modeling in Semantic Space with Keywords
SESSION: Session 6A: Time Series and Streams
F1: Accelerating the Optimization of Aggregate Continuous Queries
Fast Distributed Correlation Discovery Over Streaming Time-Series Data
Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model
SESSION: Session 6B: Adaptive Learning
Learning Relative Similarity from Data Streams: Active Online Learning Approaches
Ad Hoc Monitoring of Vocabulary Shifts over Time
Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events
SESSION: Session 6C: Points-of-Interest
Location-Based Influence Maximization in Social Networks
Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation
Where you Instagram?: Associating Your Instagram Photos with Points of Interest
SESSION: Session 6D: Matrices
Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia Databases
Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation
Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis
SESSION: Session 6E: Citation Networks
The Role Of Citation Context In Predicting Long-Term Citation Profiles: An Experimental Study Based On A Massive Bibliographic Text Dataset
Discovering Canonical Correlations between Topical and Topological Information in Document Networks
Chronological Citation Recommendation with Information-Need Shifting
SESSION: Session 6F: Knowledge Bases
Answering Questions with Complex Semantic Constraints on Open Knowledge Bases
Inducing Space Dirichlet Process Mixture Large-Margin Entity RelationshipInference in Knowledge Bases
Semi-Automated Exploration of Data Warehouses
Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances
SESSION: Keynote Address III
Large-Scale Analysis of Dynamics of Choice Among Discrete Alternatives
SESSION: Session 7A: Database Optimization
On Gapped Set Intersection Size Estimation
Inclusion Dependencies Reloaded
Comprehensible Models for Reconfiguring Enterprise Relational Databases to Avoid Incidents
An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model
SESSION: Session 7B: Retrieval Enhancements 2
Aggregation of Crowdsourced Ordinal Assessments and Integration with Learning to Rank: A Latent Trait Model
Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization
Short Text Similarity with Word Embeddings
Building Representative Composite Items
SESSION: Session 7C: Search Mechanisms
More Accurate Question Answering on Freebase
Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs
Assessing the Impact of Syntactic and Semantic Structures for Answer Passages Reranking
Ranking Entities for Web Queries Through Text and Knowledge
SESSION: Session 7D: Social Networks 3
What Is a Network Community?: A Novel Quality Function and Detection Algorithms
DifRec: A Social-Diffusion-Aware Recommender System
Who With Whom And How?: Extracting Large Social Networks Using Search Engines
Modeling Individual-Level Infection Dynamics Using Social Network Information
SESSION: Session 8A: Query Evaluation
Finding Probabilistic k-Skyline Sets on Uncertain Data
Ordering Selection Operators Under Partial Ignorance
Querying Temporal Drifts at Multiple Granularities
Efficient Incremental Evaluation of Succinct Regular Expressions
SESSION: Session 8B: Web Search
Struggling and Success in Web Search
Behavioral Dynamics from the SERP's Perspective: What are Failed SERPs and How to Fix Them?
What Users Ask a Search Engine: Analyzing One Billion Russian Question Queries
Does Vertical Bring more Satisfaction?: Predicting Search Satisfaction in a Heterogeneous Environment
SESSION: Session 8C: Social Media 2
Characterizing and Predicting Viral-and-Popular Video Content
Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization
Central Topic Model for Event-oriented Topics Mining in Microblog Stream
Video Popularity Prediction by Sentiment Propagation via Implicit Network
SESSION: Session 8D: Recommendation
Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation
ORec: An Opinion-Based Point-of-Interest Recommendation Framework
Toward Dual Roles of Users in Recommender Systems
TriRank: Review-aware Explainable Recommendation by Modeling Aspects
SESSION: Short Papers: Databases
RoadRank: Traffic Diffusion and Influence Estimation in Dynamic Urban Road Networks
On Query-Update Independence for SPARQL
A Structured Query Model for the Deep Relational Web
A Flash-aware Buffering Scheme using On-the-fly Redo
Defragging Subgraph Features for Graph Classification
Structural Constraints for Multipartite Entity Resolution with Markov Logic Network
SESSION: Short Papers: Information Retrieval
Know Your Onions: Understanding the User Experience with the Knowledge Module in Web Search
Personalized Federated Search at LinkedIn
Balancing Exploration and Exploitation: Empirical Parameterization of Exploratory Search Systems
On Predicting Deletions of Microblog Posts
Semi-Automated Text Classification for Sensitivity Identification
Identification of Microblogs Prominent Users during Events by Learning Temporal Sequences of Features
A Real-Time Eye Tracking Based Query Expansion Approach via Latent Topic Modeling
Clustered Semi-Supervised Relevance Feedback
On the Effect of "Stupid" Search Components on User Interaction with Search Engines
Social-Relational Topic Model for Social Networks
Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection
Modelling the Usefulness of Document Collections for Query Expansion in Patient Search
A Convolutional Click Prediction Model
A Study of Query Length Heuristics in Information Retrieval
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites
Query Auto-Completion for Rare Prefixes
Pooled Evaluation Over Query Variations: Users are as Diverse as Systems
The Influence of Pre-processing on the Estimation of Readability of Web Documents
Atypical Queries in eCommerce
Bottom-up Faceted Search: Creating Search Neighbourhoods with Datacube Cells
Personalized Recommendation Meets Your Next Favorite
Recommending Short-lived Dynamic Packages for Golf Booking Services
Large-Scale Question Answering with Joint Embedding and Proof Tree Decoding
Query Length, Retrievability Bias and Performance
Gauging Correct Relative Rankings For Similarity Search
Learning User Preferences for Topically Similar Documents
Modeling Parameter Interactions in Ranking SVM
SESSION: Short Papers: Knowledge Management
Best First Over-Sampling for Multilabel Classification
Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity
A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid
Improving Event Detection by Automatically Assessing Validity of Event Occurrence in Text
DAAV: Dynamic API Authority Vectors for Detecting Software Theft
Towards Multi-level Provenance Reconstruction of Information Diffusion on Social Media
Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment
A Clustering-based Approach to Detect Probable Outcomes of Lawsuits
Detecting Check-worthy Factual Claims in Presidential Debates
Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints
Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction
Heterogeneous Multi-task Semantic Feature Learning for Classification
Top-k Reliable Edge Colors in Uncertain Graphs
Probabilistic Non-negative Inconsistent-resolution Matrices Factorization
Identifying Attractive News Headlines for Social Media
A Probabilistic Rating Auto-encoder for Personalized Recommender Systems
Real-time Rumor Debunking on Twitter
Fraud Transaction Recognition: A Money Flow Network Approach
Identifying Top-k Consistent News-Casters on Twitter
Mining the Minds of Customers from Online Chat Logs
A Fast k-Nearest Neighbor Search Using Query-Specific Signature Selection
Core-Sets For Canonical Correlation Analysis
DeepCamera: A Unified Framework for Recognizing Places-of-Interest based on Deep ConvNets
Structured Sparse Regression for Recommender Systems
Analyzing Document Intensive Business Processes using Ontology
Transductive Domain Adaptation with Affinity Learning
Update Summarization using Semi-Supervised Learning Based on Hellinger Distance
Multi-view Clustering via Structured Low-rank Representation
Partially Labeled Data Tuple Can Optimize Multivariate Performance Measures
Modeling Infinite Topics on Social Behavior Data with Spatio-temporal Dependence
ASEM: Mining Aspects and Sentiment of Events from Microblog
Enhanced Word Embeddings from a Hierarchical Neural Language Model
Improving Label Quality in Crowdsourcing Using Noise Correction
Improving Collaborative Filtering via Hidden Structured Constraint
WORKSHOP SESSION: Workshop Reports
DOLAP 2015 Workshop Summary
DTMBIO 2015: International Workshop on Data and Text Mining in Biomedical Informatics
ECol 2015: First international workshop on the Evaluation on Collaborative Information Seeking and Retrieval
Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'15)
LSDS-IR'15: 2015 Workshop on Large-Scale and Distributed Systems for Information Retrieval
NWSearch 2015: International Workshop on Novel Web Search Interfaces and Systems
PIKM 2015: The 8th ACM Workshop for Ph.D. Students in Information and Knowledge Management
TM 2015 -- Topic Models: Post-Processing and Applications Workshop
UCUI'15: The 1st International Workshop on Understanding the City with Urban Informatics
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