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The WISE Lab @ Rutgers's Projects

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AutoLossGen: Automatic Loss Function Generation for Recommender Systems

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BERT with History Answer Embedding for Conversational Question Answering

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Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

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Causal Collaborative Filtering

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Code for paper: Towards Conversational Search and Recommendation: System Ask, User Respond

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A Dataset for Conversational Recommendation over KnowledgeGraph in E-commerce

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Counterfactual Explainable Recommendation

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Deconfounded Causal Collaborative Filtering

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Code for "Dynamic Explainable Recommendation based on Neural Attentive Models"

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code for Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles, SIGIR 2018

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code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"

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Dynamic Causal Collaborative Filtering

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This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

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This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

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SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation

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code for ‘Towards Long-term Fairness in Recommendation’

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Large Language Model for Generative Recommendation

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Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".

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Source code for SIGIR 2019 paper "Hierarchical Matching Network for Crime Classification"

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