yusuke1997/dblp-id-title huggingface dataset:
CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting
Predicting future reviews: sentiment analysis models for collaborative filtering
Hiring Behavior Models for Online Labor Markets
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank
Improving pairwise learning for item recommendation from implicit feedback
Sparse-Interest Network for Sequential Recommendation
Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions
Modeling Document Networks with Tree-Averaged Copula Regularization
Mining Medical Causality for Diagnosis Assistance
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
Generating labels from clicks
Scalable inference in latent variable models
Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method
Learning Individual Causal Effects from Networked Observational Data
Neural Demographic Prediction using Search Query
A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation
A Systematic Evaluation of Single-Cell Foundation Models on Cell-Type Classification Task
Wildfire: A Twitter Social Sensing Platform for Layperson
WSDM 2016 Workshop on the Ethics of Online Experimentation
Chebyshev Accelerated Spectral Clustering
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce
Deep classifier: automatically categorizing search results into large-scale hierarchies
Scalable Adversarial Attack Algorithms on Influence Maximization
Slate-Aware Ranking for Recommendation
Pleasant Route Suggestion based on Color and Object Rates
Fast top-k retrieval for model based recommendation
Network Analysis with Negative Links
Affective Computing of Image Emotion Perceptions
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction
CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Learning and Reasoning on Graph for Recommendation
Automating ETL and Mining of Ethereum Blockchain Network
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
Large-scale analysis of individual and task differences in search result page examination strategies
JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
Studying inter-national mobility through IP geolocation
EXS: Explainable Search Using Local Model Agnostic Interpretability
Probabilistic models for personalizing web search
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks
Scalable clustering of news search results
Topic-specific analysis of search queries
A framework for quantitative analysis of cascades on networks
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms
Stochastic query covering
Integration of news content into web results
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation
A comparative analysis of cascade measures for novelty and diversity
WebTour 2021 Workshop on Web Tourism
DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation
Workshop on semantic personalized information management (SPIM'13)
Machine Learning at Amazon
Collaborative Curating for Discovery and Expansion of Visual Clusters
k-Clustering with Fair Outliers
Retrieving Top Weighted Triangles in Graphs
Nowcasting the macroeconomy with search engine data
App recommendation: a contest between satisfaction and temptation
A Unified Processing Paradigm for Interactive Location-based Web Search
Adaptive Loss-based Curricula for Neural Team Recommendation
LambdaMerge: merging the results of query reformulations
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
Econometric analysis and digital marketing: how tomeasure the effectiveness of an ad
The secret life of social links
Privacy Aware Experiments without Cookies
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
Recommender systems with social regularization
Beyond the Words: Predicting User Personality from Heterogeneous Information
Estimating Position Bias without Intrusive Interventions
Influence Maximization with Spontaneous User Adoption
Meta Policy Learning for Cold-Start Conversational Recommendation
Semantic Documents Relatedness using Concept Graph Representation
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation
Towards an Event-Aware Urban Mobility Prediction System
Understanding cyclic trends in social choices
On ranking controversies in wikipedia: models and evaluation
An Ensemble Model for Combating Label Noise
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Towards a Cross-domain Semantically Interoperable Ecosystem
Towards Twitter context summarization with user influence models
Multi-Sparse-Domain Collaborative Recommendation via Enhanced Comprehensive Aspect Preference Learning
Towards web-scale structured web data extraction
Rethink e-Commerce Search
Balance Maximization in Signed Networks via Edge Deletions
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages
Evaluation Framework for Improving 360 Virtual Tours User Experience
Search Behavior Prediction: A Hypergraph Perspective
Improving FIM Code Completions via Context & Curriculum Based Learning
Near Real Time AI Personalization for Notifications at LinkedIn
Learning to Infer Product Attribute Values From Descriptive Texts and Images
Overlapping Community Detection in Static and Dynamic Networks
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training
Ten Years of Wisdom
Sarcasm Detection on Twitter: A Behavioral Modeling Approach
Fast Disjunctive Candidate Generation Using Live Block Filtering
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models
An Interactive Knowledge Graph Based Platform for COVID-19 Clinical Research
Balanced Influence Maximization in Attributed Social Network Based on Sampling
A peek into the future: predicting the evolution of popularity in user generated content
Don't Forget This: Augmenting Results with Event-Aware Search
Predicting Completeness in Knowledge Bases
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling
New Directions in Recommender Systems
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
AI & Public Data for Humanitarian and Emergency Response
ANTHEM: Attentive Hyperbolic Entity Model for Product Search
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization
Recurrent Attention Walk for Semi-supervised Classification
Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks
A Causal View for Item-level Effect of Recommendation on User Preference
Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching
Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini
WSDM 2024 Workshop on Representation Learning & Clustering
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Structure Meets Sequences: Predicting Network of Co-evolving Sequences
XBully: Cyberbullying Detection within a Multi-Modal Context
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness
Learning Stance Embeddings from Signed Social Graphs
SoftRank: optimizing non-smooth rank metrics
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning
Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf
Coupled temporal scoping of relational facts
Improving IP Geolocation using Query Logs
Quam: Adaptive Retrieval through Query Affinity Modelling
Adaptive Graph Enhancement for Imbalanced Multi-relation Graph Learning
Multimodal Machine Learning for Drug Knowledge Discovery
Learning About Health and Medicine from Internet Data
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders
Web-scale Knowledge Collection
Towards Practical Robustness Evaluation and Robustness Enhancing
A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine
Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
Crowdsourcing High Quality Labels with a Tight Budget
Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
Effects of user similarity in social media
Review-Based Hyperbolic Cross-Domain Recommendation
TwitterRank: finding topic-sensitive influential twitterers
Harvesting More Answer Spans from Paragraph beyond Annotation
Remembering what we like: Toward an agent-based model of Web traffic
An empirical analysis of sponsored search performance in search engine advertising
Scalable Algorithm for Probabilistic Overlapping Community Detection
CMAP: effective fusion of quality and relevance for multi-criteria recommendation
QueryBlazer: Efficient Query Autocompletion Framework
FineSum: Target-Oriented, Fine-Grained Opinion Summarization
Maintaining k -MinHash Signatures over Fully-Dynamic Data Streams with Recovery
Citation recommendation without author supervision
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
Triplex transfer learning: exploiting both shared and distinct concepts for text classification
Differences in search engine evaluations between query owners and non-owners
WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights
Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
Weakly Supervised Entity Alignment with Positional Inspiration
Review-Driven Answer Generation for Product-Related Questions in E-Commerce
Exploring Expert Cognition for Attributed Network Embedding
GeoFolk: latent spatial semantics in web 2.0 social media
Combining vs. Transferring Knowledge: Investigating Strategies for Improving Demographic Inference in Low Resource Settings
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012
Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-On Tutorial
Listwise Learning to Rank by Exploring Unique Ratings
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
On compressing the textual web
Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Supporting Large-scale Geographical Visualization in a Multi-granularity Way
IMPO: Interpretable Memory-based Prototypical Pooling
AdaptKT: A Domain Adaptable Method for Knowledge Tracing
Finding text reuse on the web
Opinion spam and analysis
Towards Understanding and Answering Comparative Questions
Searchable web sites recommendation
Scalable K-Means by ranked retrieval
Speeding up algorithms on compressed web graphs
Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation
Counting Graphlets: Space vs Time
Inferring Dockless Shared Bike Distribution in New Cities
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Learning influence probabilities in social networks
Balanced Influence Maximization in the Presence of Homophily
Directed Edge Recommender System
Proceedings of the Workshop on Interactive Data Mining, IDM@WSDM 2019, Melbourne, VIC, Australia, February 15, 2019
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation
Applying Space Syntax to Online Mapping Tools
Supervised Advantage Actor-Critic for Recommender Systems
Overlapping Community Detection in Static and Dynamic Social Networks
On Tag Recommendation for Expertise Profiling: A Case Study in the Scientific Domain
Making Sense of Big Data with the Berkeley Data Analytics Stack
Enhancing Neural Recommender Models through Domain-Specific Concordance
Evolution of Privacy Loss in Wikipedia
Inferring Movement Trajectories from GPS Snippets
Identifying content for planned events across social media sites
Heterogeneous Hypergraph Embedding for Graph Classification
Semi-Supervised Text Classification via Self-Pretraining
Interpretable Relation Learning on Heterogeneous Graphs
Multi-Scale Variational Graph AutoEncoder for Link Prediction
Unbiased Learning-to-Rank with Biased Feedback
Personalized click prediction in sponsored search
Language Features for Process Interaction
Exception Handling in PL/I
Efficient Implementation and Optimization of Run-Time Checking in Pascal
GYPSY: A Language for Specification and Implementation of Verifiable Programs
Aspects of Applicative Programming for File Systems (Preliminary Version)
An Experimental Investigation of the Effect of Program Structure on Program Understanding
Process Structuring, Synchronization, and Recovery Using Atomic Actions
Static Determination of Dynamic Properties of Generalized Type Unions
Software Reliability: The Role of Programmed Exception Handling
Restricted Data Types, Specification and Enforcement of Invariant Properties of Variables
Notes on the Design of Euclid
Some Extensions to Algebraic Specifications
Towards the Ideal Programming Language
A Study of Protection in Programming Languages
Proceedings of an ACM Conference on Language Design for Reliable Software (LDRS), Raleigh, North Carolina, USA, March 28-30, 1977
Analysis of discrete-time nonlinear ℓ2-gain bounds via dynamic programming
Stability of sequence-based anytime control with Markovian processor availability
On the uniform global pre-asymptotic stability of closed sets for switched hybrid systems
Max-plus fundamental solution semigroups for dual operator differential Riccati equations
A review on reduced order approximation for digital filters with complex coefficients using model reduction
Periodic economic model predictive control with bounded-state stability
Manipulation of molecular vibrational motions via pure rotational excitations
Data-driven subspace-based distributed control and its algorithmic convergence
An iterative LMI approach to IIR noise transfer function optimization for delta-sigma modulators
Integrated minimum-time trajectory generation, fault detection, and reconfiguration for a double-tank system using flatness and B-splines
Guaranteed cost tracking for uncertain coupled multi-agent systems using consensus over a directed graph
Outer synchronization between two complex dynamical networks with nonidentical coupling structures via time-varying delay feedback control
Guidance of aircraft in periodic inspection tasks
Distributed formation control with limited sensing ranges and scalability
Cascade model predictive control of a PMSM with periodic disturbance rejection
Selection of output function in nonlinear feedback linearizing excitation control for power systems
Dynamic programming and duality applied to an optimal control problem
A robust reachability review for control system security
Stability of (integral) input-to-state stable interconnected nonlinear systems via qualitative equivalences
An analytical characterisation of cold-load pickup oscillations in thermostatically controlled loads
An economic MPC approach to microgrid control
Strongly convex attainable sets and low complexity finite-state controllers
Network synthesis of mixed quantum-classical linear stochastic systems
V2G technology to improve wind power quality and stability
The challenge of stabilizing control for queueing systems with unobservable server states
Self-tuning linear quadratic supervisory regulation of a diesel generator using large-signal state estimation
Low-order control design using a novel rank-constrained optimization approach
Plantwide analysis of large-scale stochastic linear discrete-time systems
Controlling rectangular formations
Nonlinear model predictive control approach for structural load mitigation of wind turbines in presence of wind measurement uncertainties
Natural oscillation in compass-gait biped robots
Minimum phase characterization for nonlinear systems with periodic trajectories using differential dissipativity
Multirate dissipativity-based distributed MPC
Using indirect inference to identify models of vestibular nerve response in an isolated inner ear
Receding horizon control for mass transport phenomena in thermal fluid systems
Finite-horizon H∞ control for a class of time-varying nonlinear systems subject to sensor and actuator saturations
Challenges for information enabled automation systems
A pruning algorithm for managing complexity in the solution of a class of linear non-quadratic regulator problems
Practical stability with respect to model mismatch of approximate discrete-time output feedback control
A note on separator-type robust stability theorem and well-posedness of linear time-invariant systems
Optimal control with a cost of changing control
Exponential stability of multiple equilibria for memristive Cohen-Grossberg neural networks with non-monotonic activation functions
Monitoring and diagnosis of PI controllers
New consensus algorithms for multi-agents systems with second-order dynamics
Safety-critical multi-core software architecture for Model Predictive Control
Model based fault detection using unknown input observer- state dependent H∞ filter
Real-time obstacle-avoidance motion planning for autonomous mobile robots
Cross gramian based time interval model reduction
Robust repeated pole placement
Reduction of discrete interval systems through fuzzy-C means clustering with dominant pole retention
A tutorial on predictive repetitive control
Comparison study of the Taylor series based discretization method for nonlinear input-delay systems
Averaging tools for singularly perturbed hybrid systems
Analysis and application of modulated-demodulated control
Passivity-based adaptive control for visually servoed robotic systems
Control of a high-speed nanopositioner for Lissajous-scan video-rate AFM
A MIMO controller design for damping, tracking, and cross coupling reduction of nanopositioners
Dissipativity analysis of discrete-time delayed neural networks
Conditions for simultaneous decentralized integral controllability
MPC in high-speed atomic force microscopy
Optimal control of time-inhomogeneous Markov chains with application to dam management
Inverse two-player zero-sum dynamic games
Robust LQ control for parallel wheeled inverted pendulum
Probabilistic ultimate bounds and invariant sets for LTI systems with Gaussian disturbances
Energy-based control of bidirectional vehicle strings
Sensor reintegration in the fault tolerant control of linear parameter varying systems
Control of infrastructure inspection aircraft vertical dynamics in the presence of thermal disturbances
How many quantum noises need to be added to make an LTI system physically realizable?
Predictive control of wind turbines with storage
Dissipativity analysis for control affine systems in closed-loop with parameterized Jurdjevic-Quinn feedback controllers
Set-membership filtering approach for fault detection of systems with unknown-but-bounded noises
On constrained continuous-time nonlinear control systems
Discrete-time one-step ahead prediction control (DOPC) of a Quadcopter UAV with constraints
Synchronisation of micro-mechanical oscillators inside one cavity using feedback control
Robust mean square stability of open quantum stochastic systems with Hamiltonian perturbations in a Weyl quantization form
Analysis of target velocity and position estimation via doppler-shift measurements
A reduced complexity min-plus method for synchronisation of qubits
Triangulation-based path planning for patrolling by a mobile robot
A new procedure for modeling nonlinear systems via norm-bounded linear differential inclusions
On partial-fraction expansion based frequency weighted balanced truncation
Displacement-based formation tracking control of multi-agent with size scaling
A minimax linear quadratic Gaussian method for antiwindup control synthesis
MIMO control of the cutting system for trench cutter based on disturbance observer
Internal model control for high-speed spiral scan AFM
A small-gain feedback interconnection for bilinear systems
Evolutionary algorithms for self-tuning Active Vibration Control of flexible beam
Autonomous forced landing system for light general aviation aircraft in unknown environments
Nonlinear L2-gain verification for bilinear systems
On reachable set bounding for delayed discrete-time Takagi-Sugeno fuzzy systems
Optimal-stopping control for airborne collision avoidance and return-to-course flight
An examination of coordination for homogeneous linear agents under arbitrary network topology
Robust H2 control for two-wheeled inverted pendulum using LEGO Mindstorms
2013 Australian Control Conference, Fremantle, WA, Australia, November 4-5, 2013
A frequency limited model reduction technique for linear discrete systems
Stability analysis for interconnected systems with "mixed" negative-imaginary and passivity
Robust scale iterative closest point algorithm based on correntropy for point set registration
Modeling and control of underactuated rimless wheel for walking over quagmire
Performance analysis of TDoA based localization using SDRs
Extended Kalman Filter for indoor and outdoor localization of a wheeled mobile robot
Notes on Coherent feedback control for linear quantum systems
Particle filter state estimator for large urban networks
Design and control of a MEMS micro-gripper with integrated electro-thermal force sensor
Model predictive control of linear time varying systems using Laguerre functions
An optimization-based algorithm for model selection using an approximation of Akaike's Information Criterion
Quantum observers for dissipative interacting qubits in a common environment
A computationally advantageous reparameterisation of a robust model predictive control scheme
On the response of linear quantum stochastic systems to single-photon inputs and pulse shaping of photon wave packets
Modelling voltage-demand relationship on power distribution grid for distributed demand management
Sampling-based learning control of quantum systems with bounded inputs and uncertainties via path planning
On a new uniform dynamic coding algorithm for model-based networked control systems
A saturating set point tracking controller for a class of nonlinear systems subject to input amplitude and rate constraints
Friction compensation in a pneumatic actuator using recursive least square algorithm
Optimal curvature-constrained paths with anisotropic costs in the plane
Manoeuvring control of fully-actuated marine vehicles. A Port-Hamiltonian system approach to tracking