Zhicheng Dou

Orcid: 0000-0002-9781-948X

Affiliations:
  • Renmin University of China, Beijing, China


According to our database1, Zhicheng Dou authored at least 200 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Query-Oriented Data Augmentation for Session Search.
IEEE Trans. Knowl. Data Eng., November, 2024

Passage-aware Search Result Diversification.
ACM Trans. Inf. Syst., September, 2024

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models.
ACM Trans. Inf. Syst., September, 2024

Multi-grained Document Modeling for Search Result Diversification.
ACM Trans. Inf. Syst., September, 2024

WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm.
IEEE Trans. Knowl. Data Eng., September, 2024

How to personalize and whether to personalize? Candidate documents decide.
Knowl. Inf. Syst., September, 2024

Intent-Oriented Dynamic Interest Modeling for Personalized Web Search.
ACM Trans. Inf. Syst., July, 2024

Personalized and Diversified: Ranking Search Results in an Integrated Way.
ACM Trans. Inf. Syst., May, 2024

Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng., March, 2024

Integrated Personalized and Diversified Search Based on Search Logs.
IEEE Trans. Knowl. Data Eng., February, 2024

LLMs + Persona-Plug = Personalized LLMs.
CoRR, 2024

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.
CoRR, 2024

MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery.
CoRR, 2024

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

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

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation.
CoRR, 2024

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task.
CoRR, 2024

RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation.
CoRR, 2024

Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs.
CoRR, 2024

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation.
CoRR, 2024

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models.
CoRR, 2024

Are Long-LLMs A Necessity For Long-Context Tasks?
CoRR, 2024

FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research.
CoRR, 2024

Extending Llama-3's Context Ten-Fold Overnight.
CoRR, 2024

From Matching to Generation: A Survey on Generative Information Retrieval.
CoRR, 2024

UFO: a Unified and Flexible Framework for Evaluating Factuality of Large Language Models.
CoRR, 2024

Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus.
CoRR, 2024

Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation.
CoRR, 2024

Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon.
CoRR, 2024

Generating Multi-turn Clarification for Web Information Seeking.
Proceedings of the ACM on Web Conference 2024, 2024

Mining Exploratory Queries for Conversational Search.
Proceedings of the ACM on Web Conference 2024, 2024

Information Retrieval Meets Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism.
Proceedings of the ACM on Web Conference 2024, 2024

Metacognitive Retrieval-Augmented Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

CL4DIV: A Contrastive Learning Framework for Search Result Diversification.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Generative Retrieval via Term Set Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

JDivPS: A Diversified Product Search Dataset.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning Dynamic Multi-attribute Interest for Personalized Product Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Enhancing Robustness of LLM-Synthetic Text Detectors for Academic Writing: A Comprehensive Analysis.
Proceedings of the Advanced Information Networking and Applications, 2024

A Multi-Task Embedder For Retrieval Augmented LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Grounding Language Model with Chunking-Free In-Context Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Contrastive Learning for Legal Judgment Prediction.
ACM Trans. Inf. Syst., October, 2023

DeepQFM: a deep learning based query facets mining method.
Inf. Retr. J., June, 2023

GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification.
ACM Trans. Inf. Syst., April, 2023

Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.
ACM Trans. Intell. Syst. Technol., April, 2023

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index.
Mach. Intell. Res., April, 2023

Integrating Representation and Interaction for Context-Aware Document Ranking.
ACM Trans. Inf. Syst., January, 2023

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

Retrieve Anything To Augment Large Language Models.
CoRR, 2023

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection.
CoRR, 2023

Large Language Models for Information Retrieval: A Survey.
CoRR, 2023

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit.
CoRR, 2023

Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines.
CoRR, 2023

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus.
CoRR, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
CoRR, 2023

Incorporating Explicit Subtopics in Personalized Search.
Proceedings of the ACM Web Conference 2023, 2023

Learning Denoised and Interpretable Session Representation for Conversational Search.
Proceedings of the ACM Web Conference 2023, 2023

Heterogeneous Graph-based Context-aware Document Ranking.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Search Clarification with Structured Information Extracted from Search Results.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PSLOG: Pretraining with Search Logs for Document Ranking.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Contrastive Learning for User Sequence Representation in Personalized Product Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Topic-Enhanced Personalized Retrieval-Based Chatbot.
Proceedings of the Advances in Information Retrieval, 2023

Case Retrieval for Legal Judgment Prediction in Legal Artificial Intelligence.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Learning on Structured Documents for Conditional Question Answering.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

VILE: Block-Aware Visual Enhanced Document Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Search-Oriented Conversational Query Editing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Report on the 16th Round of NII Testbeds and Community for Information Access Research (NTCIR-16).
SIGIR Forum, December, 2022

Leveraging Narrative to Generate Movie Script.
ACM Trans. Inf. Syst., 2022

Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search.
ACM Trans. Inf. Syst., 2022

Looking Back on the Past: Active Learning With Historical Evaluation Results.
IEEE Trans. Knowl. Data Eng., 2022

Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?
CoRR, 2022

Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.
CoRR, 2022

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index.
CoRR, 2022

KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models.
CoRR, 2022

A Gain-Tuning Dynamic Negative Sampler for Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Category-aware Multi-interest Model for Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Socialformer: Social Network Inspired Long Document Modeling for Document Ranking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Session Search by Modeling Multi-Granularity Historical Query Change.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Improving Personalized Search with Dual-Feedback Network.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Generating Clarifying Questions with Web Search Results.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Webformer: Pre-training with Web Pages for Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Knowledge Enhanced Search Result Diversification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Explicit Query Rewriting for Conversational Dense Retrieval.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking.
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

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

Towards More Effective and Economic Sparsely-Activated Model.
CoRR, 2021

Learning to Select Historical News Articles for Interaction based Neural News Recommendation.
CoRR, 2021

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker.
CoRR, 2021

Learning Implicit User Profiles for Personalized Retrieval-Based Chatbot.
CoRR, 2021

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator.
CoRR, 2021

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training.
CoRR, 2021

Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder.
CoRR, 2021

FedPS: A Privacy Protection Enhanced Personalized Search Framework.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Group based Personalized Search by Integrating Search Behaviour and Friend Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Answer Complex Questions: Path Ranker Is All You Need.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Modeling Intent Graph for Search Result Diversification.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pchatbot: A Large-Scale Dataset for Personalized Chatbot.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Content Selection Network for Document-Grounded Retrieval-Based Chatbots.
Proceedings of the Advances in Information Retrieval, 2021

Few-Shot Charge Prediction with Multi-grained Features and Mutual Information.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Implicit User Profile for Personalized Retrieval-Based Chatbot.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Interaction-Based Document Matching for Implicit Search Result Diversification.
Proceedings of the Information Retrieval - 27th China Conference, 2021

Neural Sentence Ordering Based on Constraint Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation.
Inf. Retr. J., 2020

Deep cross-platform product matching in e-commerce.
Inf. Retr. J., 2020

Low-cost, bottom-up measures for evaluating search result diversification.
Inf. Retr. J., 2020

Pchatbot: A Large-Scale Dataset for Personalized Chatbot.
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

Enhancing Re-finding Behavior with External Memories for Personalized Search.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Encoding History with Context-aware Representation Learning for Personalized Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Employing Personal Word Embeddings for Personalized Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Knowledge Enhanced Personalized Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Diversifying Search Results using Self-Attention Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

PSTIE: Time Information Enhanced Personalized Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

ScriptWriter: Narrative-Guided Script Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Leveraging Multi-Token Entities in Document-Level Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
RUCIR at TREC 2019: Conversational Assistance Track.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 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

A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation.
Proceedings of the NII Testbeds and Community for Information Access Research, 2019

Document-Level Named Entity Recognition by Incorporating Global and Neighbor Features.
Proceedings of the Information Retrieval - 25th China Conference, 2019

2018
Personalized Web Search.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Search Result Diversity Evaluation Based on Intent Hierarchies.
IEEE Trans. Knowl. Data Eng., 2018

Supervised Search Result Diversification via Subtopic Attention.
IEEE Trans. Knowl. Data Eng., 2018

Personalizing Search Results Using Hierarchical RNN with Query-aware Attention.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Generating Query Facets Using Knowledge Bases.
IEEE Trans. Knowl. Data Eng., 2017

Learning to Diversify Search Results via Subtopic Attention.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

RUCIR at NTCIR-13 WWW Task.
Proceedings of the 13th NTCIR Conference, 2017

Overview of the NTCIR-13 We Want Web Task.
Proceedings of the 13th NTCIR Conference, 2017

RUCIR at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017

2016
Following the dynamic block on the Web.
World Wide Web, 2016

Automatically Mining Facets for Queries from Their Search Results.
IEEE Trans. Knowl. Data Eng., 2016

Evaluating Search Result Diversity using Intent Hierarchies.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

RUCIR at NTCIR-12 IMINE-2 Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Overview of the NTCIR-12 IMine-2 Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

2015
Search Result Diversification Based on Query Facets.
J. Comput. Sci. Technol., 2015

Search Result Diversification Based on Hierarchical Intents.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Content-Based Collaborative Filtering for News Topic Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Overview of the NTCIR-11 IMine Task.
Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies, 2014

Personalizing Web Search Results Based on Subspace Projection.
Proceedings of the Information Retrieval Technology, 2014

Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences.
Proceedings of the Information Retrieval Technology, 2014

2013
Mining subtopics from text fragments for a web query.
Inf. Retr., 2013

Summary of the NTCIR-10 INTENT-2 task: subtopic mining and search result diversification.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

The impact of intent selection on diversified search evaluation.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Summaries, ranked retrieval and sessions: a unified framework for information access evaluation.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Microsoft Research Asia at the NTCIR-10 Intent Task.
Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

Overview of the NTCIR-10 INTENT-2 Task.
Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

MSRA at NTCIR-10 1CLICK-2.
Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

Improving Web Search Ranking by Incorporating Structured Annotation of Queries.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Estimating Intent Types for Search Result Diversification.
Proceedings of the Information Retrieval Technology, 2013

2012
The Reusability of a Diversified Search Test Collection.
Proceedings of the Information Retrieval Technology, 2012

2011
Multi-dimensional search result diversification.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Microsoft Research Asia at the NTCIR-9 Intent Task.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

Finding dimensions for queries.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Learning Query Ambiguity Models by Using Search Logs.
J. Comput. Sci. Technol., 2010

Simple Evaluation Metrics for Diversified Search Results.
Proceedings of the 3rd International Workshop on Evaluating Information Access, 2010

2009
Personalized Web Search.
Proceedings of the Encyclopedia of Database Systems, 2009

Evaluating the Effectiveness of Personalized Web Search.
IEEE Trans. Knowl. Data Eng., 2009

Microsoft Research Asia at the Web Track of TREC 2009.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

Using anchor texts with their hyperlink structure for web search.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

2008
Are click-through data adequate for learning web search rankings?
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
A large-scale evaluation and analysis of personalized search strategies.
Proceedings of the 16th International Conference on World Wide Web, 2007


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