research
∙
07/25/2023
An Intent Taxonomy of Legal Case Retrieval
Legal case retrieval is a special Information Retrieval (IR) task focusi...
share
research
∙
07/01/2023
THUIR2 at NTCIR-16 Session Search (SS) Task
Our team(THUIR2) participated in both FOSS and POSS subtasks of the NTCI...
research
∙
06/04/2023
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
Passage retrieval is a fundamental task in many information systems, suc...
research
∙
08/17/2022
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System
With the growth of information on the Web, most users heavily rely on in...
research
∙
08/11/2022
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
Recent advance in Dense Retrieval (DR) techniques has significantly impr...
research
∙
06/26/2022
Towards Representation Alignment and Uniformity in Collaborative Filtering
Collaborative filtering (CF) plays a critical role in the development of...
research
∙
04/25/2022
Evaluating Extrapolation Performance of Dense Retrieval
A retrieval model should not only interpolate the training data but also...
research
∙
04/06/2022
ConvSearch: A Open-Domain Conversational Search Behavior Dataset
Conversational Search has been paid much attention recently with the inc...
research
∙
04/05/2022
A Survey on Dropout Methods and Experimental Verification in Recommendation
Overfitting is a common problem in machine learning, which means the mod...
research
∙
11/27/2021
Interpreting Dense Retrieval as Mixture of Topics
Dense Retrieval (DR) reaches state-of-the-art results in first-stage ret...
research
∙
10/14/2021
Web Search via an Efficient and Effective Brain-Machine Interface
While search technologies have evolved to be robust and ubiquitous, the ...
research
∙
10/12/2021
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Dense Retrieval (DR) has achieved state-of-the-art first-stage ranking e...
research
∙
09/22/2021
Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search
Web search heavily relies on click-through behavior as an essential feed...
research
∙
08/03/2021
Understanding Human Reading Comprehension with Brain Signals
Reading comprehension is a complex cognitive process involving many huma...
research
∙
08/02/2021
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
Recently, Information Retrieval community has witnessed fast-paced advan...
research
∙
06/11/2021
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing
Data plays a vital role in machine learning studies. In the research of ...
research
∙
04/16/2021
Optimizing Dense Retrieval Model Training with Hard Negatives
Ranking has always been one of the top concerns in information retrieval...
research
∙
12/24/2020
THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
In this paper, we present our methodologies for tackling the challenges ...
research
∙
10/20/2020
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently
Ranking has always been one of the top concerns in information retrieval...
research
∙
06/28/2020
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
Although exact term match between queries and documents is the dominant ...
research
∙
03/09/2019
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Explainability and effectiveness are two key aspects for building recomm...
research
∙
05/08/2018
Constructing an Interaction Behavior Model for Web Image Search
User interaction behavior is a valuable source of implicit relevance fee...
research
∙
11/27/2017
Why People Search for Images using Web Search Engines
What are the intents or goals behind human interactions with image searc...
research
∙
02/11/2015
