Jun Xu

Orcid: 0000-0001-7170-111X

Affiliations:
  • Renmin University of China, School of Information, Beijing Key Laboratory of Big Data Management and Analysis Methods, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (former)
  • Huawei Noah's Ark Lab, Hong Kong (2012 - 2014)
  • Microsoft Research Asia (2006 - 2012)
  • Nankai University, Tianjin, China (PhD 2006)


According to our database1, Jun Xu authored at least 187 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Model-Agnostic Causal Embedding Learning for Counterfactually Group-Fair Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024

Explainable Legal Case Matching via Graph Optimal Transport.
IEEE Trans. Knowl. Data Eng., June, 2024

Syntactic-Informed Graph Networks for Sentence Matching.
ACM Trans. Inf. Syst., March, 2024

Length-Induced Embedding Collapse in Transformer-based Models.
CoRR, 2024

ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability.
CoRR, 2024

LargePiG: Your Large Language Model is Secretly a Pointer Generator.
CoRR, 2024

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.
CoRR, 2024

Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration.
CoRR, 2024

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation.
CoRR, 2024

Towards Effective and Efficient Continual Pre-training of Large Language Models.
CoRR, 2024

A Survey of Controllable Learning: Methods and Applications in Information Retrieval.
CoRR, 2024

YuLan: An Open-source Large Language Model.
CoRR, 2024

QAGCF: Graph Collaborative Filtering for Q&A Recommendation.
CoRR, 2024

Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop.
CoRR, 2024

Tool Learning with Large Language Models: A Survey.
CoRR, 2024

BankFair: Balancing Accuracy and Fairness under Varying User Traffic in Recommender System.
CoRR, 2024

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models.
CoRR, 2024

Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models.
CoRR, 2024

IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History.
CoRR, 2024

On the Decision-Making Abilities in Role-Playing using Large Language Models.
CoRR, 2024

UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems.
CoRR, 2024

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval.
Proceedings of the ACM on Web Conference 2024, 2024

List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation.
Proceedings of the ACM on Web Conference 2024, 2024

Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

UniSAR: Modeling User Transition Behaviors between Search and Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ReCODE: Modeling Repeat Consumption with Neural ODE.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Taxation Perspective for Fair Re-ranking.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Generative Retrieval with Semantic Tree-Structured Identifiers and Contrastive Learning.
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Neural Retrievers are Biased Towards LLM-Generated Content.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Attention in Music Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Smooth Start: A Unified Approach for Gradual Transition from Cold to Old in Recommender Systems.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Study of Implicit Ranking Unfairness in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Logic Rules as Explanations for Legal Case Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Large Language Models Enhanced Collaborative Filtering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Completeness-Oriented Tool Retrieval for Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Effective In-Context Example Selection through Data Compression.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Enhancing Recommendation with Search Data in a Causal Learning Manner.
ACM Trans. Inf. Syst., October, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Incorporating Judgment Prediction into Legal Case Retrieval via Law-aware Generative Retrieval.
CoRR, 2023

AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval.
CoRR, 2023

Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study.
CoRR, 2023

LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts.
CoRR, 2023

Generative Retrieval with Semantic Tree-Structured Item Identifiers via Contrastive Learning.
CoRR, 2023

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops.
CoRR, 2023

Controllable Multi-Objective Re-ranking with Policy Hypernetworks.
CoRR, 2023

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.
CoRR, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
CoRR, 2023

P-MMF: Provider Max-min Fairness Re-ranking in Recommender System.
Proceedings of the ACM Web Conference 2023, 2023

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Conditional counterfactual causal effect for individual attribution.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Reinforcement Re-ranking with 2D Grid-based Recommendation Panels.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Uncovering ChatGPT's Capabilities in Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Reward Imputation with Sketching for Contextual Batched Bandits.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Controllable Multi-Objective Re-ranking with Policy Hypernetworks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Joint Semantic and Strategy Matching for Persuasive Dialogue.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

KuaiSAR: A Unified Search And Recommendation Dataset.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Dually Enhanced Delayed Feedback Modeling for Streaming Conversion Rate Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks.
Neurocomputing, 2022

Law Article-Enhanced Legal Case Matching: a Model-Agnostic Causal Learning Approach.
CoRR, 2022

Partial Information as Full: Reward Imputation with Sketching in Bandits.
CoRR, 2022

A Brief History of Recommender Systems.
CoRR, 2022

A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR, 2022

A Model-Agnostic Causal Learning Framework for Recommendation using Search Data.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Optimal Partial Transport Based Sentence Selection for Long-form Document Matching.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Semantic Sentence Matching via Interacting Syntax Graphs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Dually Enhanced Propensity Score Estimation in Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
RLPS: A Reinforcement Learning-Based Framework for Personalized Search.
ACM Trans. Inf. Syst., 2021

Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering.
Neural Process. Lett., 2021

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm.
CoRR, 2021

Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation.
Proceedings of the WSDM '21, 2021

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Beyond Probability Ranking Principle: Modeling the Dependencies among Documents.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Regret Bounds for Online Kernel Selection in Continuous Kernel Space.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Learning for Matching in Search and Recommendation.
Found. Trends Inf. Retr., 2020

SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval.
CoRR, 2020

Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient.
CoRR, 2020

RLPer: A Reinforcement Learning Model for Personalized Search.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Reinforcement Learning to Rank with Pairwise Policy Gradient.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Counterfactual learning for recommender system.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation.
IEEE Trans. Knowl. Data Eng., 2019

Pre-training of Context-aware Item Representation for Next Basket Recommendation.
CoRR, 2019

PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Name Entity Recognition with Policy-Value Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Differentiated Distribution Recovery for Neural Text Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Teaching Machines to Extract Main Content for Machine Reading Comprehension.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Modeling the Correlations of Relations for Knowledge Graph Embedding.
J. Comput. Sci. Technol., 2018

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
CoRR, 2018

Sequence Tagging with Policy-Value Networks and Tree Search.
CoRR, 2018

Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Modeling Diverse Relevance Patterns in Ad-hoc Retrieval.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi Page Search with Reinforcement Learning to Rank.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Aggregating Neural Word Embeddings for Document Representation.
Proceedings of the Advances in Information Retrieval, 2018

Spherical Paragraph Model.
Proceedings of the Advances in Information Retrieval, 2018

Question Headline Generation for News Articles.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Neighborhood Voting: A Novel Search Scheme for Hashing.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Generative Paragraph Vector.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Text Matching with Monte Carlo Tree Search.
Proceedings of the Information Retrieval - 24th China Conference, 2018

A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval.
Proceedings of the Information Retrieval - 24th China Conference, 2018

RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching.
Proceedings of the Information Retrieval Technology, 2018

Learning to Control the Specificity in Neural Response Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Tailored Sequence to Sequence Models to Different Conversation Scenarios.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification.
ACM Trans. Intell. Syst. Technol., 2017

A Deep Investigation of Deep IR Models.
CoRR, 2017

Adapting Markov Decision Process for Search Result Diversification.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Reinforcement Learning to Rank with Markov Decision Process.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Learning Visual Features from Snapshots for Web Search.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Academic Access Data Analysis for Literature Recommendation.
Proceedings of the Information Retrieval - 23rd China conference, 2017

Locally Smoothed Neural Networks.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Semantic Regularities in Document Representations.
CoRR, 2016

A Study of MatchPyramid Models on Ad-hoc Retrieval.
CoRR, 2016

Your Cart tells You: Inferring Demographic Attributes from Purchase Data.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Modeling Document Novelty with Neural Tensor Network for Search Result Diversification.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Word Embeddings Using ℓ<sub>1</sub> Regularized Online Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-task Representation Learning for Demographic Prediction.
Proceedings of the Advances in Information Retrieval, 2016

Ease the Process of Machine Learning with Dataflow.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Incorporating Semantic Knowledge into Latent Matching Model in Search.
Proceedings of the Information Retrieval Technology, 2016

Factorizing Sequential and Historical Purchase Data for Basket Recommendation.
Proceedings of the Information Retrieval Technology, 2016

A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Text Matching as Image Recognition.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

SPAN: Understanding a Question with Its Support Answers.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Learning Hierarchical Representation Model for NextBasket Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Next Basket Recommendation with Neural Networks.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Modeling Parameter Interactions in Ranking SVM.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

A Probabilistic Model for Bursty Topic Discovery in Microblogs.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Semantic Matching in Search.
Found. Trends Inf. Retr., 2014

SIGIR 2014 workshop on semantic matching in information retrieval.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Ranking Optimization with Constraints.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

User Message Model: A New Approach to Scalable User Modeling on Microblog.
Proceedings of the Information Retrieval Technology, 2014

2013
Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling.
ACM Trans. Inf. Syst., 2013

Learning query and document similarities from click-through bipartite graph with metadata.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

2012
Machine learning for query-document matching in search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Group matrix factorization for scalable topic modeling.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Beyond bag-of-words: machine learning for query-document matching in web search.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
Learning a Robust Relevance Model for Search Using Kernel Methods.
J. Mach. Learn. Res., 2011

A kernel approach to addressing term mismatch.
Proceedings of the 20th International Conference on World Wide Web, 2011

Regularized latent semantic indexing.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010
LETOR: A benchmark collection for research on learning to rank for information retrieval.
Inf. Retr., 2010

Relevance Ranking Using Kernels.
Proceedings of the Information Retrieval Technology, 2010

2008
Directly optimizing evaluation measures in learning to rank.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Group-based learning: a boosting approach.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Using SVM to Extract Acronyms from Text.
Soft Comput., 2007

AdaRank: a boosting algorithm for information retrieval.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Searching Documents Based on Relevance and Type.
Proceedings of the Advances in Information Retrieval, 2007

2006
A Supervised Learning Approach to Search of Definitions.
J. Comput. Sci. Technol., 2006

Adapting ranking SVM to document retrieval.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Cost-Sensitive Learning of SVM for Ranking.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Ranking definitions with supervised learning methods.
Proceedings of the 14th international conference on World Wide Web, 2005

A new approach to intranet search based on information extraction.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005


  Loading...