cikm98

cikm 2018 论文列表

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018.

CIKM 2018 Co-Located Workshops Summary.
User Group Analytics: Discovery, Exploration and Visualization.
Unbiased Learning to Rank: Theory and Practice.
Semantic Technologies for Data Access and Integration.
Multi-model Databases and Tightly Integrated Polystores: Current Practices, Comparisons, and Open Challenges.
Knowledge Representation as Linked Data: Tutorial.
Incremental Techniques for Large-Scale Dynamic Query Processing.
GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs.
From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data.
Web-based Startup Success Prediction.
A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching.
Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets.
Towards Deep and Representation Learning for Talent Search at LinkedIn.
Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems.
The Title Says It All: A Title Term Weighting Strategy For eCommerce Ranking.
tHoops: A Multi-Aspect Analytical Framework for Spatio-Temporal Basketball Data.
Scalable Entity Resolution Using Probabilistic Signatures on Parallel Databases.
Recurrent Spatio-Temporal Point Process for Check-in Time Prediction.
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising.
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn.
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
Practical Diversified Recommendations on YouTube with Determinantal Point Processes.
Optimizing Generalized Linear Models with Billions of Variables.
Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability.
Network-based Receivable Financing.
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering.
Investigating Rumor News Using Agreement-Aware Search.
In-Session Personalization for Talent Search.
Inferring Trip Occupancies in the Rise of Ride-Hailing Services.
Image Matters: Visually Modeling User Behaviors Using Advanced Model Server.
Heterogeneous Graph Neural Networks for Malicious Account Detection.
A Globalization-Semantic Matching Neural Network for Paraphrase Identification.
FastInput: Improving Input Efficiency on Mobile Devices.
A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp.
Device-Aware Rule Recommendation for the Internet of Things.
DeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps.
"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data.
Deep Graph Embedding for Ranking Optimization in E-commerce.
A Combined Representation Learning Approach for Better Job and Skill Recommendation.
Collaborative Alert Ranking for Anomaly Detection.
Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks.
Automatic Conversational Helpdesk Solution using Seq2Seq and Slot-filling Models.
YourDigitalSelf: A Personal Digital Trace Integration Tool.
X-Rank: Explainable Ranking in Complex Multi-Layered Networks.
Traffic-Cascade: Mining and Visualizing Lifecycles of Traffic Congestion Events Using Public Bus Trajectories.
Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets.
SOURCERY: User Driven Multi-Criteria Source Selection.
Single-Setup Privacy Enforcement for Heterogeneous Data Ecosystems.
searchrefiner: A Query Visualisation and Understanding Tool for Systematic Reviews.
Preserving Privacy of Fraud Detection Rule Sharing Using Intel's SGX.
Preference-driven Interactive Ranking System for Personalized Decision Support.
Ontop-temporal: A Tool for Ontology-based Query Answering over Temporal Data.
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries.
IM Balanced: Influence Maximization Under Balance Constraints.
I4TSRS: A System to Assist a Data Engineer in Time-Series Dimensionality Reduction in Industry 4.0 Scenarios.
From Copernicus Big Data to Big Information and Big Knowledge: A Demo from the Copernicus App Lab Project.
Fouilla: Navigating DBpedia by Topic.
Exploring Diversified Similarity with Kundaha.
Every Word has its History: Interactive Exploration and Visualization of Word Sense Evolution.
Distributed Ledger Technology for Document and Workflow Management in Trade and Logistics.
DEVES: Interactive Signal Analytics for Drug Safety.
Demonstration of GenoMetric Query Language.
CurEx: A System for Extracting, Curating, and Exploring Domain-Specific Knowledge Graphs from Text.
CEC: Constraints based Explanation for Classifications.
CAPatternMiner: Mining Ship Collision Avoidance Behavior from AIS Trajectory Data.
Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora.
BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data.
ASTRO: A Datalog System for Advanced Stream Reasoning.
Word-Driven and Context-Aware Review Modeling for Recommendation.
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation.
Weakly-Supervised Generative Adversarial Nets with Auxiliary Information for Wireless Coverage Estimation.
W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking.
vec2Link: Unifying Heterogeneous Data for Social Link Prediction.
Variational Recurrent Model for Session-based Recommendation.
Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance.
User Identification with Spatio-Temporal Awareness across Social Networks.
Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings.
Towards Partition-Aware Lifted Inference.
Towards Explainable Networked Prediction.
Towards a Quantum-Inspired Framework for Binary Classification.
Toward Automated Multiparty Privacy Conflict Detection.
TEQUILA: Temporal Question Answering over Knowledge Bases.
TED-KISS: A Known-Item Speech Video Search Benchmark.
A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine.
A Sequential Neural Information Diffusion Model with Structure Attention.
Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging.
Sci-Blogger: A Step Towards Automated Science Journalism.
Re-ranking Web Search Results for Better Fact-Checking: A Preliminary Study.
Re-evaluating Embedding-Based Knowledge Graph Completion Methods.
A Recurrent Neural Network for Sentiment Quantification.
Recommending Serendipitous Items using Transfer Learning.
Recommender Systems with Characterized Social Regularization.
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model.
Query Understanding via Entity Attribute Identification.
Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective.
Predicting Personal Life Events from Streaming Social Content.
Point Symmetry-based Deep Clustering.
An Option Gate Module for Sentence Inference on Machine Reading Comprehension.
Neural Retrieval with Partially Shared Embedding Spaces.
A Network-embedding Based Method for Author Disambiguation.
Neighborhood Voting: A Novel Search Scheme for Hashing.
Multiple Pairwise Ranking with Implicit Feedback.
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering.
Multi-Emotion Category Improving Embedding for Sentiment Classification.
MultiE: Multi-Task Embedding for Knowledge Base Completion.
More than Threads: Identifying Related Email Messages.
Modeling Multi-way Relations with Hypergraph Embedding.
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning.
MM: A new Framework for Multidimensional Evaluation of Search Engines.
Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion.
Low-Complexity Supervised Rank Fusion Models.
Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains.
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network.
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Learning to Geolocalise Tweets at a Fine-Grained Level.
Label Propagation with Neural Networks.
K-core Minimization: An Edge Manipulation Approach.
Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval.
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents.
Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction.
Improving Low-Rank Matrix Completion with Self-Expressiveness.
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions.
Improve Network Embeddings with Regularization.
Implementation Notes for the Soft Cosine Measure.
Impact of Document Representation on Neural Ad hoc Retrieval.
Imbalanced Sentiment Classification with Multi-Task Learning.
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction.
A Hybrid Approach for Automatic Model Recommendation.
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation.
How Consistent is Relevance Feedback in Exploratory Search?
Homepage Augmentation by Predicting Links in Heterogenous Networks.
Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties.
Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News.
FactCheck: Validating RDF Triples Using Textual Evidence.
Extracting Figures and Captions from Scientific Publications.
Exploring Neural Translation Models for Cross-Lingual Text Similarity.
Estimating Clickthrough Bias in the Cascade Model.
Enhancing Graph Kernels via Successive Embeddings.
Enhanced Network Embeddings via Exploiting Edge Labels.
An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media.
Empirical Evidence for Search Effectiveness Models.
Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information.
Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint.
Efficient Pipeline Processing of Crowdsourcing Workflows.
Efficient Energy Management in Distributed Web Search.
Efficient and Effective Query Expansion for Web Search.
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter.
DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain.
Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient?
Data Structure for Efficient Line of Sight Queries.
Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization.
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks.
Continuation Methods and Curriculum Learning for Learning to Rank.
Compiling Questions into Balanced Quizzes about Documents.
Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task.
Causal Dependencies for Future Interest Prediction on Twitter.
Can User Behaviour Sequences Reflect Perceived Novelty?
Calibration: A Simple Way to Improve Click Models.
Attentive Encoder-based Extractive Text Summarization.
AQuPR: Attention based Query Passage Retrieval.
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering.
AceKG: A Large-scale Knowledge Graph for Academic Data Mining.
Abnormal Event Detection via Heterogeneous Information Network Embedding.
A Dynamical System on Bipartite Graphs.
Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization.
Deep Semantic Hashing with Multi-Adversarial Training.
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising.
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising.
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.
On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach.
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation.
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection.
In Situ and Context-Aware Target Apps Selection for Unified Mobile Search.
Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search.
Collaborative Multi-objective Ranking.
Neural Collaborative Ranking.
Construction of Efficient V-Gram Dictionary for Sequential Data Analysis.
When Optimizer Chooses Table Scans: How to Make Them More Responsive.
PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines.
The LambdaLoss Framework for Ranking Metric Optimization.
A Quantum Many-body Wave Function Inspired Language Modeling Approach.
Differentiable Unbiased Online Learning to Rank.
Privacy-Preserving Triangle Counting in Large Graphs.
Privacy Protection for Flexible Parametric Survival Models.
Randomized Bit Vector: Privacy-Preserving Encoding Mechanism.
Studying Topical Relevance with Evidence-based Crowdsourcing.
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization.
Explicit Preference Elicitation for Task Completion Time.
Multiperspective Graph-Theoretic Similarity Measure.
A Scalable Algorithm for Higher-order Features Generation using MinHash.
Engineering a Simplified 0-Bit Consistent Weighted Sampling.
Impact of Domain and User's Learning Phase on Task and Session Identification in Smart Speaker Intelligent Assistants.
Measuring User Satisfaction on Smart Speaker Intelligent Assistants Using Intent Sensitive Query Embeddings.
Attentive Neural Architecture for Ad-hoc Structured Document Retrieval.
Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem.
Fairness-Aware Tensor-Based Recommendation.
Recommendation Through Mixtures of Heterogeneous Item Relationships.
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty.
DiVE: Diversifying View Recommendation for Visual Data Exploration.
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU.
Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification.
Disk-based Matrix Completion for Memory Limited Devices.
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range.
RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.
A Novel Online Stacked Ensemble for Multi-Label Stream Classification.
On Real-time Detecting Passenger Flow Anomalies.
Efficient and Reliable Estimation of Cell Positions.
Type Prediction Combining Linked Open Data and Social Media.
Stochastic Coupon Probing in Social Networks.
Adversarial Learning of Answer-Related Representation for Visual Question Answering.
Probabilistic Causal Analysis of Social Influence.
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading.
Weakly-Supervised Neural Text Classification.
Dataless Text Classification: A Topic Modeling Approach with Document Manifold.
Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search.
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation.
Rumor Detection with Hierarchical Social Attention Network.
Multiresolution Graph Attention Networks for Relevance Matching.
Mining Frequent Patterns in Evolving Graphs.
Semi-supervised Learning on Graphs with Generative Adversarial Nets.
METIC: Multi-Instance Entity Typing from Corpus.
Semantically-Enhanced Topic Modeling.
Towards Practical Open Knowledge Base Canonicalization.
Modeling Sequential Online Interactive Behaviors with Temporal Point Process.
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories.
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity.
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations.
Heterogeneous Neural Attentive Factorization Machine for Rating Prediction.
PRRE: Personalized Relation Ranking Embedding for Attributed Networks.
Parallel Hashing Using Representative Points in Hyperoctants.
The Impact of Name-Matching and Blocking on Author Disambiguation.
COPA: Constrained PARAFAC2 for Sparse & Large Datasets.
Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency.
"Bridge": Enhanced Signed Directed Network Embedding.
HeteroMed: Heterogeneous Information Network for Medical Diagnosis.
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention.
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.
Understanding Reading Attention Distribution during Relevance Judgement.
Presentation Ordering Effects On Assessor Agreement.
Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections.
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence.
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation.
PARL: Let Strangers Speak Out What You Like.
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.
Bug Localization by Learning to Rank and Represent Bug Inducing Changes.
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension.
JIM: Joint Influence Modeling for Collective Search Behavior.
Relevance Estimation with Multiple Information Sources on Search Engine Result Pages.
Question Headline Generation for News Articles.
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming.
Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions.
Open-Schema Event Profiling for Massive News Corpora.
VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems.
On Rich Clubs of Path-Based Centralities in Networks.
Signed Network Modeling Based on Structural Balance Theory.
Finding a Dense Subgraph with Sparse Cut.
CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion.
Learning under Feature Drifts in Textual Streams.
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction.
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph.
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing.
GYANI: An Indexing Infrastructure for Knowledge-Centric Tasks.
PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces.
StuffIE: Semantic Tagging of Unlabeled Facets Using Fine-Grained Information Extraction.
Short Text Entity Linking with Fine-grained Topics.
Distribution Distance Minimization for Unsupervised User Identity Linkage.
Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings.
Exploiting Structural and Temporal Evolution in Dynamic Link Prediction.
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
On Building Fair and Reusable Test Collections using Bandit Techniques.
When Rank Order Isn't Enough: New Statistical-Significance-Aware Correlation Measures.
Trustworthy Experimentation Under Telemetry Loss.
Inferring Probabilistic Contagion Models Over Networks Using Active Queries.
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum.
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation.
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention.
Learning User Preferences and Understanding Calendar Contexts for Event Scheduling.
MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks.
Online Learning for Non-Stationary A/B Tests.
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information.
Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity.
Detecting Outliers in Data with Correlated Measures.
Multi-View Group Anomaly Detection.
Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads.
Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods.
Shared Embedding Based Neural Networks for Knowledge Graph Completion.
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning.
A Content-Based Approach for Modeling Analytics Operators.
Web Table Understanding by Collective Inference.
Improving the Efficiency of Inclusion Dependency Detection.
RIN: Reformulation Inference Network for Context-Aware Query Suggestion.
Effective User Interaction for High-Recall Retrieval: Less is More.
Towards Conversational Search and Recommendation: System Ask, User Respond.
Contrasting Search as a Learning Activity with Instructor-designed Learning.
An Attentive Interaction Network for Context-aware Recommendations.
ANR: Aspect-based Neural Recommender.
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks.
Attention-based Adaptive Model to Unify Warm and Cold Starts Recommendation.
REGAL: Representation Learning-based Graph Alignment.
Mining (maximal) Span-cores from Temporal Networks.
TGNet: Learning to Rank Nodes in Temporal Graphs.