CIKM '17- Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

Full Citation in the ACM Digital Library

SESSION: Keynote & Invited Talks

Machine Learning @ Amazon

Deception Detection: When Computers Become Better than Humans

When Deep Learning Meets Transfer Learning

A Hyper-connected World

SESSION: Session 1A: Multimedia

Jointly Modeling Static Visual Appearance and Temporal Pattern for Unsupervised Video Hashing

Construction of a National Scale ENF Map using Online Multimedia Data

Dual Learning for Cross-domain Image Captioning

A New Approach to Compute CNNs for Extremely Large Images

SESSION: Session 1B: IR evaluation

Active Sampling for Large-scale Information Retrieval Evaluation

Intent Based Relevance Estimation from Click Logs

A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries

Sensitive and Scalable Online Evaluation with Theoretical Guarantees

SESSION: Session 1C: Sentiment

Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks

Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network

Dyadic Memory Networks for Aspect-based Sentiment Analysis

Modeling Language Discrepancy for Cross-Lingual Sentiment Analysis

SESSION: Session 1D: Network Embedding 1

Multi-view Clustering with Graph Embedding for Connectome Analysis

Attributed Signed Network Embedding

Enhancing the Network Embedding Quality with Structural Similarity

On Embedding Uncertain Graphs

SESSION: Session 1E: Web/App data

A Large Scale Prediction Engine for App Install Clicks and Conversions

Building Natural Language Interfaces to Web APIs

UFeed: Refining Web Data Integration Based on User Feedback

Extracting Records from the Web Using a Signal Processing Approach

SESSION: Session 1F: Graph data

A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases

Natural Language Question/Answering: Let Users Talk With The Knowledge Graph

Keyword Search on RDF Graphs - A Query Graph Assembly Approach

Region Representation Learning via Mobility Flow

SESSION: Session 2A: Ranking

Learning Visual Features from Snapshots for Web Search

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities

Balancing Speed and Quality in Online Learning to Rank for Information Retrieval

SESSION: Session 2B: Crowdsourcing 1

Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions

Destination-aware Task Assignment in Spatial Crowdsourcing

Crowdsourced Selection on Multi-Attribute Data

Select Your Questions Wisely: For Entity Resolution With Crowd Errors

SESSION: Session 2C: Recommendation 1

Reply With: Proactive Recommendation of Email Attachments

Learning and Transferring Social and Item Visibilities for Personalized Recommendation

Joint Topic-Semantic-aware Social Recommendation for Online Voting

Interactive Social Recommendation

SESSION: Session 2D: Network Embedding 2

From Properties to Links: Deep Network Embedding on Incomplete Graphs

Learning Community Embedding with Community Detection and Node Embedding on Graphs

Attributed Network Embedding for Learning in a Dynamic Environment

Learning Node Embeddings in Interaction Graphs

SESSION: Session 2E: Skyline Queries

Efficient Computation of Subspace Skyline over Categorical Domains

Fast Algorithms for Pareto Optimal Group-based Skyline

Probabilistic Skyline on Incomplete Data

Communication-Efficient Distributed Skyline Computation

SESSION: Session 2F: Social Media Analysis

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary

Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts

LARM: A Lifetime Aware Regression Model for Predicting YouTube Video Popularity

Modeling Affinity based Popularity Dynamics

SESSION: Session 3A: Spatiotemporal

Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem

Modeling Temporal-Spatial Correlations for Crime Prediction

Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data

Exploiting Spatio-Temporal User Behaviors for User Linkage

SESSION: Session 3B: Short text retrieval

Similarity-based Distant Supervision for Definition Retrieval

Hybrid BiLSTM-Siamese network for FAQ Assistance

Regularized and Retrofitted models for Learning Sentence Representation with Context

Talking to Your TV: Context-Aware Voice Search with Hierarchical Recurrent Neural Networks

SESSION: Session 3C: Community Detection

GPU-Accelerated Graph Clustering via Parallel Label Propagation

Temporally Like-minded User Community Identification through Neural Embeddings

Community-Based Network Alignment for Large Attributed Network

A Non-negative Symmetric Encoder-Decoder Approach for Community Detection

SESSION: Session 3D: Time Series

Fast Word Recognition for Noise channel-based Models in Scenarios with Noise Specific Domain Knowledge

Detecting Multiple Periods and Periodic Patterns in Event Time Sequences

Finding Periodic Discrete Events in Noisy Streams

Fast and Accurate Time Series Classification with WEASEL

SESSION: Session 3E: Query processing

QLever: A Query Engine for Efficient SPARQL+Text Search

A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture

PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization

ANS-Based Index Compression

SESSION: Session 3F: Temporal data

Covering the Optimal Time Window Over Temporal Data

Scaling Probabilistic Temporal Query Evaluation

Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems

Temporal Analog Retrieval using Transformation over Dual Hierarchical Structures

SESSION: Session 4A: Evaluation

Does That Mean You're Happy?: RNN-based Modeling of User Interaction Sequences to Detect Good Abandonment

Deep Sequential Models for Task Satisfaction Prediction

Adaptive Persistence for Search Effectiveness Measures

Beyond Success Rate: Utility as a Search Quality Metric for Online Experiments

SESSION: Session 4B: News and credibility

Linking News across Multiple Streams for Timeliness Analysis

Growing Story Forest Online from Massive Breaking News

iFACT: An Interactive Framework to Assess Claims from Tweets

CSI: A Hybrid Deep Model for Fake News Detection

SESSION: Session 4C: Outliers and Anomaly Detection

Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data

Outlier Detection in Sparse Data with Factorization Machines

Anomaly Detection in Dynamic Networks using Multi-view Time-Series Hypersphere Learning

A Fast Trajectory Outlier Detection Approach via Driving Behavior Modeling

SESSION: Session 4D: Graph Mining 1

BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion

Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks

To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem

MGAE: Marginalized Graph Autoencoder for Graph Clustering

SESSION: Session 4E: Online learning, Stream mining

BoostVHT: Boosting Distributed Streaming Decision Trees

Stream Aggregation Through Order Sampling

FUSION: An Online Method for Multistream Classification

SESSION: Session 5A: Tensor analysis

Maintaining Densest Subsets Efficiently in Evolving Hypergraphs

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services

Tensor Rank Estimation and Completion via CP-based Nuclear Norm

Smart Infrastructure Maintenance Using Incremental Tensor Analysis: Extended Abstract

SESSION: Session 5B: Application driven mining

Collaborative Filtering as a Case-Study for Model Parallelism on Bulk Synchronous Systems

Modeling Student Learning Styles in MOOCs

Tracking Knowledge Proficiency of Students with Educational Priors

Spreadsheet Property Detection With Rule-assisted Active Learning

SESSION: Session 5C: Deep Learning 1

Learning Knowledge Embeddings by Combining Limit-based Scoring Loss

Length Adaptive Recurrent Model for Text Classification

Multi-Task Neural Network for Non-discrete Attribute Prediction in Knowledge Graphs

Movie Fill in the Blank with Adaptive Temporal Attention and Description Update

SESSION: Session 6A: Crowdsourcing 2

Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media

Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition

Hyper Questions: Unsupervised Targeting of a Few Experts in Crowdsourcing

Modeling Menu Bundle Designs of Crowdfunding Projects

SESSION: Session 6B: User behavior and targeting

Forecasting Ad-Impressions on Online Retail Websites using Non-homogeneous Hawkes Processes

Volume Ranking and Sequential Selection in Programmatic Display Advertising

On Migratory Behavior in Video Consumption

FM-Hawkes: A Hawkes Process Based Approach for Modeling Online Activity Correlations

SESSION: Session 6C: Deep Learning 2

Deep Learning Based Forecasting of Critical Infrastructure Data

Augmented Variational Autoencoders for Collaborative Filtering with Auxiliary Information

DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades

CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation

SESSION: Session 7A: Health Analytics 1

A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection

DiagTree: Diagnostic Tree for Differential Diagnosis

Fine-grained Patient Similarity Measuring using Deep Metric Learning

Differentially Private Regression for Discrete-Time Survival Analysis

SESSION: Session 7B: Privacy Preserving Data Mining

From Fingerprint to Footprint: Revealing Physical World Privacy Leakage by Cyberspace Cookie Logs

Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition

Privacy Aware Temporal Profiling of Emails in Distributed Setup

Name Disambiguation in Anonymized Graphs using Network Embedding

SESSION: Session 7C: Social Networks 1

Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction

Social Media for Opioid Addiction Epidemiology: Automatic Detection of Opioid Addicts from Twitter and Case Studies

Understanding and Predicting Weight Loss with Mobile Social Networking Data

Tweet Geolocation: Leveraging Location, User and Peer Signals

SESSION: Session 7D: Application driven analysis

A Two-step Information Accumulation Strategy for Learning from Highly Imbalanced Data

Understanding Database Performance Inefficiencies in Real-world Web Applications

Data Driven Chiller Plant Energy Optimization with Domain Knowledge

Partitioning Orders in Online Shopping Services

SESSION: Session 7E: Text Mining

Taxonomy Induction Using Hypernym Subsequences

Unsupervised Concept Categorization and Extraction from Scientific Document Titles

MIKE: Keyphrase Extraction by Integrating Multidimensional Information

QALink: Enriching Text Documents with Relevant Q&A Site Contents

SESSION: Session 7F: Efficient Learning

Sequence Modeling with Hierarchical Deep Generative Models with Dual Memory

Active Learning for Large-Scale Entity Resolution

Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation

Latency Reduction via Decision Tree Based Query Construction

SESSION: Session 7G: Recommendation 2

Broad Learning based Multi-Source Collaborative Recommendation

Neural Attentive Session-based Recommendation

A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation

Recommendation with Capacity Constraints

SESSION: Session 8A: Recommendation 3

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources

Interacting Attention-gated Recurrent Networks for Recommendation

A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation

BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network

SESSION: Session 8B: Text analysis

A Topic Model Based on Poisson Decomposition

A Matrix-Vector Recurrent Unit Model for Capturing Compositional Semantics in Phrase Embeddings

Words are Malleable: Computing Semantic Shifts in Political and Media Discourse

A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation

SESSION: Session 8C: Adversarial IR

Sybil Defense in Crowdsourcing Platforms

HoloScope: Topology-and-Spike Aware Fraud Detection

Building a Dossier on the Cheap: Integrating Distributed Personal Data Resources Under Cost Constraints

DeMalC: A Feature-rich Machine Learning Framework for Malicious Call Detection

SESSION: Session 8D: Health Analytics 2/ Top-k

FA*IR: A Fair Top-k Ranking Algorithm

Capturing Feature-Level Irregularity in Disease Progression Modeling

Health Forum Thread Recommendation Using an Interest Aware Topic Model

SESSION: Session 8E: Social Networks 2

HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks

SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process

Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks

SESSION: Session 8F: Feature/Entity Selection

Unsupervised Feature Selection with Joint Clustering Analysis

Multi-Label Feature Selection using Correlation Information

Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation

NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation

SESSION: Session 8G: Graph Mining 2

Relaxing Graph Pattern Matching With Explanations

Active Network Alignment: A Matching-Based Approach

Discovering Graph Temporal Association Rules

Minimizing Tension in Teams

SESSION: Session 9A: Queries

Interactive Spatial Keyword Querying with Semantics

From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach

Learning to Attend, Copy, and Generate for Session-Based Query Suggestion

Deep Context Modeling for Web Query Entity Disambiguation

SESSION: Session 9B: Representation learning

An Attention-based Collaboration Framework for Multi-View Network Representation Learning

Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations

Learning Edge Representations via Low-Rank Asymmetric Projections

HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning

SESSION: Session 9C: Graph Mining 3

Core Decomposition and Densest Subgraph in Multilayer Networks

Fully Dynamic Algorithm for Top-k Densest Subgraphs

Minimizing Dependence between Graphs

Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results

SESSION: Session 9D: Relational Mining

Efficient Discovery of Ontology Functional Dependencies

Automatic Navbox Generation by Interpretable Clustering over Linked Entities

A Two-Stage Framework for Computing Entity Relatedness in Wikipedia

Incorporating the Latent Link Categories in Relational Topic Modeling

SESSION: Session 9E: User characteristics

Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training

Nationality Classification Using Name Embeddings

Emotions in Social Networks: Distributions, Patterns, and Models

Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases

SESSION: Session 9F: Engagement

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems

Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis

Optimizing Email Volume For Sitewide Engagement

Understanding Engagement through Search Behaviour

SESSION: Short Papers (alphabetical by lead authors' last names)

Citation Metadata Extraction via Deep Neural Network-based Segment Sequence Labeling

A Novel Approach for Efficient Computation of Community Aware Ridesharing Groups

Extracting Entities of Interest from Comparative Product Reviews

A Neural Collaborative Filtering Model with Interaction-based Neighborhood

Profiling DRDoS Attacks with Data Analytics Pipeline

A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection

Learning Biological Sequence Types Using the Literature

Detecting Social Bots by Jointly Modeling Deep Behavior and Content Information

PMS: an Effective Approximation Approach for Distributed Large-scale Graph Data Processing and Mining

Language Modeling by Clustering with Word Embeddings for Text Readability Assessment

Compact Multiple-Instance Learning

Text Embedding for Sub-Entity Ranking from User Reviews

Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining

Modeling Opinion Influence with User Dual Identity

An Empirical Analysis of Pruning Techniques: Performance, Retrievability and Bias

Text Coherence Analysis Based on Deep Neural Network

Unsupervised Matrix-valued Kernel Learning For One Class Classification

Analysis of Telegram, An Instant Messaging Service

Estimating Event Focus Time Using Neural Word Embeddings

Personalized Image Aesthetics Assessment

Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core

On Discovering the Number of Document Topics via Conceptual Latent Space

Chinese Named Entity Recognition with Character-Word Mixed Embedding

An Empirical Study of Embedding Features in Learning to Rank

Privacy of Hidden Profiles: Utility-Preserving Profile Removal in Online Forums

QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks

Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election

Inferring Appliance Energy Usage from Smart Meters using Fully Convolutional Encoder Decoder Networks

Tracking the Impact of Fact Deletions on Knowledge Graph Queries using Provenance Polynomials

An Euclidean Distance based on the Weighted Self-information Related Data Transformation for Nominal Data Clustering

Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking

Source Retrieval for Web-Scale Text Reuse Detection

Smart City Analytics: Ensemble-Learned Prediction of Citizen Home Care

Fast K-means for Large Scale Clustering

Graph Ladder Networks for Network Classification

A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server

KIEM: A Knowledge Graph based Method to Identify Entity Morphs

Ontology-based Graph Visualization for Summarized View

An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers

A Framework for Estimating Execution Times of IO Traces on SSDs

Ranking Rich Mobile Verticals based on Clicks and Abandonment

Semantic Rules for Machine Diagnostics: Execution and Management

Machine Learning based Performance Modeling of Flash SSDs

A Robust Named-Entity Recognition System Using Syllable Bigram Embedding with Eojeol Prefix Information

IDAE: Imputation-boosted Denoising Autoencoder for Collaborative Filtering

Computing Betweenness Centrality in B-hypergraphs

Structural-fitting Word Vectors to Linguistic Ontology for Semantic Relatedness Measurement

Alternating Pointwise-Pairwise Learning for Personalized Item Ranking

Deep Multi-Similarity Hashing for Multi-label Image Retrieval

Learning Graph-based Embedding For Time-Aware Product Recommendation

An Enhanced Topic Modeling Approach to Multiple Stance Identification

TICC: Transparent Inter-Column Compression for Column-Oriented Database Systems

Exploiting User Consuming Behavior for Effective Item Tagging

SEQ: Example-based Query for Spatial Objects

Truth Discovery by Claim and Source Embedding

Automatic Catchphrase Identification from Legal Court Case Documents

Learning Temporal Ambiguity in Web Search Queries

Online Expectation-Maximization for Click Models

Task Embeddings: Learning Query Embeddings using Task Context

Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection

Predicting Short-Term Public Transport Demand via Inhomogeneous Poisson Processes

Analyzing Mathematical Content to Detect Academic Plagiarism

Learning Entity Type Embeddings for Knowledge Graph Completion

Identifying Top-K Influential Nodes in Networks

Paraphrastic Fusion for Abstractive Multi-Sentence Compression Generation

J-REED: Joint Relation Extraction and Entity Disambiguation

Collaborative Topic Regression with Denoising AutoEncoder for Content and Community Co-Representation

Accurate Sentence Matching with Hybrid Siamese Networks

Collaborative Sequence Prediction for Sequential Recommender

Boolean Matrix Decomposition by Formal Concept Sampling

Enhancing Knowledge Graph Completion By Embedding Correlations

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition

Deep Neural Networks for News Recommendations

TATHYA: A Multi-Classifier System for Detecting Check-Worthy Statements in Political Debates

A Collaborative Ranking Model for Cross-Domain Recommendations

Combining Local and Global Word Embeddings for Microblog Stemming

An Improved Test Collection and Baselines for Bibliographic Citation Recommendation

A Way to Boost Semi-NMF for Document Clustering

Recipe Popularity Prediction with Deep Visual-Semantic Fusion

Revealing the Hidden Links in Content Networks: An Application to Event Discovery

When Labels Fall Short: Property Graph Simulation via Blending of Network Structure and Vertex Attributes

Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews

pm-SCAN: an I/O Efficient Structural Clustering Algorithm for Large-scale Graphs

Knowledge Graph Embedding with Triple Context

Hybrid MemNet for Extractive Summarization

Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model

SIMD-Based Multiple Sets Intersection with Dual-Scale Search Algorithm

Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval

How Safe is Your (Taxi) Driver?

Sentence Retrieval with Sentiment-specific Topical Anchoring for Review Summarization

Visualizing Deep Neural Networks with Interaction of Super-pixels

Collecting Non-Geotagged Local Tweets via Bandit Algorithms

A Temporal Attentional Model for Rumor Stance Classification

Improving the Gain of Visual Perceptual Behaviour on Topic Modeling for Text Recommendation

Semantic Annotation for Places in LBSN through Graph Embedding

A Study of Feature Construction for Text-based Forecasting of Time Series Variables

Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter

Integrating Side Information for Boosting Machine Comprehension

Unsupervised Feature Selection with Heterogeneous Side Information

An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications

Non-Exhaustive, Overlapping Co-Clustering

Simulating Zero-Resource Spoken Term Discovery

Algorithmic Bias: Do Good Systems Make Relevant Documents More Retrievable?

Session-aware Information Embedding for E-commerce Product Recommendation

Conflict of Interest Declaration and Detection System in Heterogeneous Networks

Common-Specific Multimodal Learning for Deep Belief Network

JointSem: Combining Query Entity Linking and Entity based Document Ranking

Learning to Rank with Query-level Semi-supervised Autoencoders

MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis

Attentive Graph-based Recursive Neural Network for Collective Vertex Classification

Bayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction

SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories

Low-Rank Matrix Completion over Finite Abelian Group Algebras for Context-Aware Recommendation

Spectrum-based Deep Neural Networks for Fraud Detection

RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation

Missing Value Learning

Local Ensemble across Multiple Sources for Collaborative Filtering

Cluster-level Emotion Pattern Matching for Cross-Domain Social Emotion Classification

Knowledge-based Question Answering by Jointly Generating, Copying and Paraphrasing

SESSION: Demonstrations (alphabetical by lead authors' last names)

PODIUM: Procuring Opinions from Diverse Users in a Multi-Dimensional World

VizQ: A System for Scalable Processing of Visibility Queries in 3D Spatial Databases

CoreDB: a Data Lake Service

SimMeme: Semantic-Based Meme Search

SummIt: A Tool for Extractive Summarization, Discovery and Analysis

Rapid Analysis of Network Connectivity

HyPerInsight: Data Exploration Deep Inside HyPer

Interactive System for Reasoning about Document Age

SemFacet: Making Hard Faceted Search Easier

Metacrate: Organize and Analyze Millions of Data Profiles

SemVis: Semantic Visualization for Interactive Topical Analysis

Exploring the Veracity of Online Claims with BackDrop

AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience

Public Transportation Mode Detection from Cellular Data

Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data

SemDia: Semantic Rule-Based Equipment Diagnostics Tool

TaCLe: Learning Constraints in Tabular Data

An Interactive Framework for Video Surveillance Event Detection and Modeling

Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web

IMaxer: A Unified System for Evaluating Influence Maximization in Location-based Social Networks

StreamingCube: A Unified Framework for Stream Processing and OLAP Analysis

Product Exploration based on Latent Visual Attributes

Hierarchical Module Classification in Mixed-initiative Conversational Agent System

Blockchain-based Data Management and Analytics for Micro-insurance Applications

CleanCloud: Cleaning Big Data on Cloud

Interactive Analytics System for Exploring Outliers

Query and Animate Multi-attribute Trajectory Data

ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases

POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support

SESSION: Workshops

Overview of the 4th HistoInformatics Workshop

IDM 2017: Workshop on Interpretable Data Mining -- Bridging the Gap between Shallow and Deep Models

SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities

Additional Workshops Co-located with CIKM 2017