Latest

• Decentralized in Name Only: The Centralization of DAO Labor
• Graph Poisoning for Node Rank Manipulation
• Self-Paced Fair Ranking with Loss as a Proxy for Bias
• The Gray Area: Characterizing Moderator Disagreement on Reddit
• When Attention Becomes Exposure in Generative Search
• A contrastive neural disentanglement approach for query performance prediction
• Attrition risk modeling during a customer's journey: a predictive analytics approach
• Benchmarking prompt sensitivity in large language models
• Bias-Aware Curriculum Sampling For Fair Ranking
• Datasets for Supervised Adversarial Attacks on Neural Rankers
• Gender disentangled representation learning in neural rankers
• LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance
• Say the Task, Build the Team: Prompt-Based Team Formation
• Who Gets to be an Expert? The Hidden Bias in Expert Finding
• Enhanced retrieval effectiveness through selective query generation
• It Takes a Team to Triumph: Collaborative Expert Finding in Community QA Networks
• Learning from Yesterday: Predicting early-stage startup success for accelerators through content and cohort dynamics
• A SYSTEMATIC REVIEW OF COMPUTATIONAL METHODS IN AND RESEARCH TAXONOMY OF HOMOPHILY IN INFORMATION SYSTEMS
• Chapter Enhancing Disaster Resilience Studies: Leveraging Linked Data and Natural Language Processing for Consistent Open-Ended Interviews
• De-biasing relevance judgements for fair ranking
• Don't Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments
• EAGER: Explainable question answering using knowledge graphs
• Embedding-based team formation for community question answering
• Learning query-space document representations for high-recall retrieval
• Neural disentanglement of query difficulty and semantics
• A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
• A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
• A Neural Approach to Forming Coherent Teams in Collaboration Networks
• A Neural Approach to Forming Coherent Teams in Collaboration Networks
• Addressing gender-related performance disparities in neural rankers
• An automated mobile app labeling framework based on primary motivations for smartphone use
• Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases
• Feature-based question routing in community question answering platforms
• Fine-Tuning Dependencies with Parameters
• Fine-Tuning Dependencies with Parameters
• Gender fairness in information retrieval systems
• How Well We Know Wellness: Closing the Gap on Wellness Program Research in the Workplace
• Social influence-based contrast language analysis framework for clinical decision support systems
• Social influence-based contrast language analysis framework for clinical decision support systems
• The trends of sustainability in the luxury fashion industry: A Triple Bottom Line analysis
• A non-factoid question answering system for prior art search
• Collaborative experts discovery in social coding platforms
• Collaborative experts discovery in social coding platforms
• Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets
• Leveraging non-respondent data in customer satisfaction modeling
• Matches made in heaven: Toolkit and large-scale datasets for supervised query reformulation
• On the orthogonality of bias and utility in ad hoc retrieval
• OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning
• Query Performance Prediction Through Retrieval Coherency
• RW-Team: Robust Team Formation using Random Walk
• A big data analytics framework for detecting user-level depression from social networks
• Compact group discovery in attributed graphs and social networks
• Paywall policy learning in digital news media
• Robust keyword search in large attributed graphs
• Time-based gap analysis of cybersecurity trends in academic and digital media
• A Survey of High Utility Pattern Mining Algorithms for Big Data
• A utility-based news recommendation system
• Mining and exploration of attributed graphs: theory and applications
• Adaptive paywall mechanism for digital news media
• Effective Team Formation in Expert Networks
• Efficiently mining high utility sequential patterns in static and streaming data
• Memory-adaptive high utility sequential pattern mining over data streams
• Mining significant high utility gene regulation sequential patterns
• Time-aware subscription prediction model for user acquisition in digital news media
• Authority-based team discovery in social networks
• Authority-based team discovery in social networks
• Distributed and parallel high utility sequential pattern mining
• Mining High Utility Patterns Over Data Streams
• Top-k utility-based gene regulation sequential pattern discovery
• Memory-bounded high utility sequential pattern mining over data streams
• Mining high utility sequential patterns from evolving data streams
• Mining high utility sequential patterns from evolving data streams
• Efficient Mining of High Utility Sequential Patterns Over Data Streams
• Mining top-k high utility patterns over data streams
• Two-phase pareto set discovery for team formation in social networks
• Affordable and collaborative team formation in an expert network
• Finding affordable and collaborative teams from a network of experts
• Mining top-k high utility patterns over data streams
• Signal detection in genome sequences using complexity based features
• Efficient bi-objective team formation in social networks