Information Retrieval

Papers filed under cs.IR on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1,081 to 1,140 of 1,625

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang, Lianghao Xia +1
cs.IRcs.LGarXiv:2302.08191v32023
Controllable Multi-Interest Framework for Recommendation
Yukuo Cen, Jianwei Zhang, Xu Zou +3
cs.IRcs.LGstat.MLarXiv:2005.09347v22020
Fine-Grained Analysis of Propaganda in News Articles
Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño +2
cs.CLcs.AIcs.IRarXiv:1910.02517v12019
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian +3
cs.CLcs.AIcs.IRarXiv:2007.04032v12020
Web Data Extraction, Applications and Techniques: A Survey
Emilio Ferrara, Pasquale De Meo, Giacomo Fiumara +1
cs.IRarXiv:1207.0246v42012
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
Wei Yinwei, Wang Xiang, Nie Liqiang +2
cs.IRcs.MMarXiv:2111.02036v12021
SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov, Zornitsa Kozareva, Alan Ritter +3
cs.CLcs.IRcs.LGarXiv:1912.06806v12019
Synthesizer: Rethinking Self-Attention in Transformer Models
Yi Tay, Dara Bahri, Donald Metzler +3
cs.CLcs.IRcs.LGarXiv:2005.00743v32020
DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering
Lianlin Li, Long Gang Wang, Fernando L. Teixeira +3
cs.IRarXiv:1810.03990v12018
Learning Disentangled Representations for Recommendation
Jianxin Ma, Chang Zhou, Peng Cui +2
cs.LGcs.IRstat.MLarXiv:1910.14238v12019
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Bowen Zheng, Yupeng Hou, Hongyu Lu +4
cs.IRarXiv:2311.09049v42023
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
Tianxin Wei, Fuli Feng, Jiawei Chen +3
cs.IRarXiv:2010.15363v22020
Embedding-based Retrieval in Facebook Search
Jui-Ting Huang, Ashish Sharma, Shuying Sun +6
cs.IRarXiv:2006.11632v22020
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen +3
cs.IRarXiv:2209.02544v42022
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
Ruihong Qiu, Jingjing Li, Zi Huang +1
cs.IRarXiv:1911.11942v22019
Is ChatGPT a Good Recommender? A Preliminary Study
Junling Liu, Chao Liu, Peilin Zhou +3
cs.IRarXiv:2304.10149v32023
Hierarchical Gating Networks for Sequential Recommendation
Chen Ma, Peng Kang, Xue Liu
cs.IRarXiv:1906.09217v12019
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.IRcs.AIcs.LGarXiv:1705.08804v22017
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin, Xinyi Dai, Yunjia Xi +11
cs.IRcs.AIarXiv:2306.05817v62023
Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus
Eric Archambault, David Campbell, Yves Gingras +1
cs.IRcs.DLarXiv:0903.5254v12009
SemEval-2015 Task 10: Sentiment Analysis in Twitter
Sara Rosenthal, Saif M Mohammad, Preslav Nakov +3
cs.CLcs.IRcs.LGarXiv:1912.02387v12019
Improving Text Embeddings with Large Language Models
Liang Wang, Nan Yang, Xiaolong Huang +3
cs.CLcs.IRarXiv:2401.00368v32023
Modeling User Exposure in Recommendation
Dawen Liang, Laurent Charlin, James McInerney +1
stat.MLcs.IRcs.LGarXiv:1510.07025v22015
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data
Ke Zhang, Marcus Hutter, Huidong Jin
cs.LGcs.IRarXiv:0903.3257v12009
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani +1
cs.CLcs.AIcs.IRarXiv:1907.06554v12019
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
David Mimno, Andrew McCallum
cs.IRstat.MEarXiv:1206.3278v12012
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
cs.HCcs.CVcs.IRarXiv:1907.11510v12019
Evaluating Verifiability in Generative Search Engines
Nelson F. Liu, Tianyi Zhang, Percy Liang
cs.CLcs.IRarXiv:2304.09848v22023
Adversarial Personalized Ranking for Recommendation
Xiangnan He, Zhankui He, Xiaoyu Du +1
cs.IRcs.LGstat.MLarXiv:1808.03908v12018
Neural Ranking Models with Weak Supervision
Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn +2
cs.IRcs.CLcs.LGarXiv:1704.08803v22017
LightRAG: Simple and Fast Retrieval-Augmented Generation
Zirui Guo, Lianghao Xia, Yanhua Yu +2
cs.IRcs.AIarXiv:2410.05779v32024
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
cs.SIcs.CLcs.IRarXiv:1910.12574v12019
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
Krishna Srinivasan, Karthik Raman, Jiecao Chen +2
cs.CVcs.CLcs.IRarXiv:2103.01913v22021
Deep Reinforcement Learning for Page-wise Recommendations
Xiangyu Zhao, Long Xia, Liang Zhang +3
cs.IRarXiv:1805.02343v22018
Self-Supervised Learning for Recommender Systems: A Survey
Junliang Yu, Hongzhi Yin, Xin Xia +3
cs.IRarXiv:2203.15876v22022
ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis
Zhiling Zheng, Oufan Zhang, Christian Borgs +2
cs.IRcond-mat.mtrl-scics.CLarXiv:2306.11296v22023
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang +6
cs.CLcs.AIcs.CVarXiv:2212.09597v82022
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Ke Chen, Xingjian Du, Bilei Zhu +3
cs.SDcs.AIcs.IRarXiv:2202.00874v12022
Mining Latent Structures for Multimedia Recommendation
Jinghao Zhang, Yanqiao Zhu, Qiang Liu +3
cs.IRcs.LGcs.MMarXiv:2104.09036v22021
Fine-Tuning LLaMA for Multi-Stage Text Retrieval
Xueguang Ma, Liang Wang, Nan Yang +2
cs.IRarXiv:2310.08319v12023
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
Zhaorun Chen, Zhen Xiang, Chaowei Xiao +2
cs.LGcs.CRcs.IRarXiv:2407.12784v12024
Solving the apparent diversity-accuracy dilemma of recommender systems
Tao Zhou, Zoltan Kuscsik, Jian-Guo Liu +3
cs.IRphysics.soc-pharXiv:0808.2670v32008
Measuring Personalization of Web Search
Anikó Hannák, Piotr Sapieżyński, Arash Molavi Khaki +3
cs.CYcs.IRarXiv:1706.05011v12017
COPOD: Copula-Based Outlier Detection
Zheng Li, Yue Zhao, Nicola Botta +2
stat.MLcs.IRcs.LGarXiv:2009.09463v12020
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang +2
cs.IRcs.LGarXiv:2104.13030v32021
Quantum Recommendation Systems
Iordanis Kerenidis, Anupam Prakash
quant-phcs.DScs.IRarXiv:1603.08675v32016
Representation Learning with Large Language Models for Recommendation
Xubin Ren, Wei Wei, Lianghao Xia +5
cs.IRcs.AIarXiv:2310.15950v52023
Recommender Systems
Linyuan Lü, Matus Medo, Chi Ho Yeung +3
physics.soc-phcond-mat.stat-mechcs.IRarXiv:1202.1112v12012
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi
cs.IRcs.LGarXiv:1905.01989v32019
Fairness in Recommendation Ranking through Pairwise Comparisons
Alex Beutel, Jilin Chen, Tulsee Doshi +8
cs.CYcs.AIcs.IRarXiv:1903.00780v12019
Introducing LETOR 4.0 Datasets
Tao Qin, Tie-Yan Liu
cs.IRarXiv:1306.2597v12013
The Capacity of Private Information Retrieval
Hua Sun, Syed A. Jafar
cs.ITcs.CRcs.IRarXiv:1602.09134v22016
Phase recovery and holographic image reconstruction using deep learning in neural networks
Yair Rivenson, Yibo Zhang, Harun Gunaydin +2
cs.CVcs.IRcs.LGarXiv:1705.04286v12017
Learning Topic Models - Going beyond SVD
Sanjeev Arora, Rong Ge, Ankur Moitra
cs.LGcs.DScs.IRarXiv:1204.1956v22012
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Saahil Jain, Ashwin Agrawal, Adriel Saporta +9
cs.CLcs.AIcs.IRarXiv:2106.14463v32021
A Pathway for Assessing Grey Literature: Leveraging AI to Extract Conference Metadata and Organiser Information from Calls for Papers
Angelo Salatino, Francesco Osborne, Alexis Vizcaino +2
cs.DLcs.CYcs.IRarXiv:2608.24926v12026
The Power of Noise: Redefining Retrieval for RAG Systems
Florin Cuconasu, Giovanni Trappolini, Federico Siciliano +5
cs.IRcs.CLarXiv:2401.14887v42024
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee, Jinbae Im, Seongwon Jang +2
cs.IRcs.AIcs.LGarXiv:1908.00413v12019
RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature
Maayan Sharon, Tom Hope
cs.CLcs.IRarXiv:2608.27394v12026
CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases
Sil Hamilton, Albert Yu Sun, Oscar J. Romero +4
cs.AIcs.CLcs.IRarXiv:2608.27391v12026

Information Retrieval

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Controllable Multi-Interest Framework for Recommendation

Fine-Grained Analysis of Propaganda in News Articles

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

Web Data Extraction, Applications and Techniques: A Survey

GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

SemEval-2013 Task 2: Sentiment Analysis in Twitter

Synthesizer: Rethinking Self-Attention in Transformer Models

DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering

Learning Disentangled Representations for Recommendation

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

Embedding-based Retrieval in Facebook Search

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks

Is ChatGPT a Good Recommender? A Preliminary Study

Hierarchical Gating Networks for Sequential Recommendation

Beyond Parity: Fairness Objectives for Collaborative Filtering

How Can Recommender Systems Benefit from Large Language Models: A Survey

Comparing Bibliometric Statistics Obtained from the Web of Science and Scopus

SemEval-2015 Task 10: Sentiment Analysis in Twitter

Improving Text Embeddings with Large Language Models

Modeling User Exposure in Recommendation

A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

Evaluating Verifiability in Generative Search Engines

Adversarial Personalized Ranking for Recommendation

Neural Ranking Models with Weak Supervision

LightRAG: Simple and Fast Retrieval-Augmented Generation

A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning

Deep Reinforcement Learning for Page-wise Recommendations

Self-Supervised Learning for Recommender Systems: A Survey

ChatGPT Chemistry Assistant for Text Mining and Prediction of MOF Synthesis

Reasoning with Language Model Prompting: A Survey

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

Mining Latent Structures for Multimedia Recommendation

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

Solving the apparent diversity-accuracy dilemma of recommender systems

Measuring Personalization of Web Search

COPOD: Copula-Based Outlier Detection

A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation

Quantum Recommendation Systems

Representation Learning with Large Language Models for Recommendation

Recommender Systems

Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search

Fairness in Recommendation Ranking through Pairwise Comparisons

Introducing LETOR 4.0 Datasets

The Capacity of Private Information Retrieval

Phase recovery and holographic image reconstruction using deep learning in neural networks

Learning Topic Models - Going beyond SVD

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports

A Pathway for Assessing Grey Literature: Leveraging AI to Extract Conference Metadata and Organiser Information from Calls for Papers

The Power of Noise: Redefining Retrieval for RAG Systems

MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation

RATIO: A Benchmark for Retrieval Across Typed Ideation Operations in Scientific Literature

CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases