CIKM '15- Proceedings of the 24th ACM International on Conference on Information and Knowledge Management

Full Citation in the ACM Digital Library

SESSION: 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