| RES: An Interpretable Replicability Estimation System for Research Publications. | 0 | 0.34 | 2022 |
| MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks | 0 | 0.34 | 2022 |
| Item Relationship Graph Neural Networks for E-Commerce | 0 | 0.34 | 2022 |
| Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. | 0 | 0.34 | 2022 |
| Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems | 0 | 0.34 | 2022 |
| Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning | 0 | 0.34 | 2022 |
| Popularity-Opportunity Bias in Collaborative Filtering | 2 | 0.37 | 2021 |
| Towards Ongoing Detection of Linguistic Bias on Wikipedia | 0 | 0.34 | 2021 |
| Vibe check: social resonance learning for enhanced recommendation | 0 | 0.34 | 2021 |
| Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests | 0 | 0.34 | 2021 |
| Consistency-Aware Recommendation for User-Generated Item List Continuation. | 1 | 0.35 | 2020 |
| Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. | 0 | 0.34 | 2020 |
| Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation | 1 | 0.35 | 2020 |
| ADORE: Aspect Dependent Online REview Labeling for Review Generation | 1 | 0.36 | 2020 |
| PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge. | 0 | 0.34 | 2020 |
| Adaptive Hierarchical Translation-based Sequential Recommendation | 3 | 0.37 | 2020 |
| Towards an Automated Writing Assistant for Online Reviews. | 0 | 0.34 | 2020 |
| Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning | 2 | 0.36 | 2020 |
| Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation | 2 | 0.40 | 2020 |
| Addressing the Target Customer Distortion Problem in Recommender Systems | 0 | 0.34 | 2020 |
| Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems | 7 | 0.42 | 2020 |
| Key Opinion Leaders in Recommendation Systems - Opinion Elicitation and Diffusion. | 2 | 0.36 | 2020 |
| Time to Shop for Valentine's Day - Shopping Occasions and Sequential Recommendation in E-commerce. | 1 | 0.37 | 2020 |
| Tensor Completion Algorithms in Big Data Analytics. | 10 | 0.48 | 2019 |
| A Large-Scale Study of ISIS Social Media Strategy - Community Size, Collective Influence, and Behavioral Impact. | 0 | 0.34 | 2019 |
| Enlisting the Public to Build a Healthier Web Information Commons | 0 | 0.34 | 2019 |
| Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures | 2 | 0.37 | 2019 |
| Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence | 1 | 0.35 | 2019 |
| Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach. | 12 | 0.50 | 2018 |
| Fairness-Aware Recommendation of Information Curators. | 0 | 0.34 | 2018 |
| Crowdeval: A Cost-Efficient Strategy To Evaluate Crowdsourced Worker'S Reliability | 0 | 0.34 | 2018 |
| Vitriol on Social Media: Curation and Investigation. | 0 | 0.34 | 2018 |
| Neural Personalized Ranking for Image Recommendation. | 19 | 0.58 | 2018 |
| Behavior-based Community Detection: Application to Host Assessment In Enterprise Information Networks. | 1 | 0.35 | 2018 |
| Fairness-Aware Tensor-Based Recommendation. | 4 | 0.39 | 2018 |
| Online Deception Detection Refueled by Real World Data Collection. | 0 | 0.34 | 2017 |
| Crowdsourced App Review Manipulation | 1 | 0.35 | 2017 |
| Dynamic Contract Design For Heterogenous Workers In Crowdsourcing For Quality Control | 1 | 0.35 | 2017 |
| Badly Evolved? Exploring Long-Surviving Suspicious Users on Twitter. | 1 | 0.36 | 2017 |
| What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints | 6 | 0.40 | 2017 |
| Discovering What You're Known For: A Contextual Poisson Factorization Approach. | 1 | 0.35 | 2016 |
| On Local Expert Discovery via Geo-Located Crowds, Queries, and Candidates. | 0 | 0.34 | 2016 |
| Uncovering the Spatio-Temporal Dynamics of Memes in the Presence of Incomplete Information | 4 | 0.38 | 2016 |
| CrowdSelect: Increasing Accuracy of Crowdsourcing Tasks through Behavior Prediction and User Selection | 7 | 0.48 | 2016 |
| TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation. | 14 | 0.55 | 2016 |
| Creating Diverse Product Review Summaries: A Graph Approach. | 0 | 0.34 | 2015 |
| SIGIR 2015 Workshop on Temporal, Social and Spatially-aware Information Access (#TAIA2015). | 0 | 0.34 | 2015 |
| Exploiting Geo-Spatial Preference for Personalized Expert Recommendation | 8 | 0.45 | 2015 |
| BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media | 12 | 0.64 | 2015 |
| Finding local experts on twitter | 5 | 0.42 | 2014 |
