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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1,021 to 1,080 of 1,626

Learning Tree-based Deep Model for Recommender Systems
Han Zhu, Xiang Li, Pengye Zhang +4
stat.MLcs.IRcs.LGarXiv:1801.02294v52018
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
Sweta Agrawal, Amit Awekar
cs.IRcs.CLcs.SIarXiv:1801.06482v12018
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval
Xin Zhang, Yanzhao Zhang, Dingkun Long +10
cs.CLcs.IRarXiv:2407.19669v22024
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
Jinjie Ni, Tom Young, Vlad Pandelea +2
cs.CLcs.AIcs.IRarXiv:2105.04387v52021
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks
Yuyu Zhang, Hanjun Dai, Chang Xu +5
cs.IRcs.LGcs.NEarXiv:1404.5772v32014
Reinforcement Learning for Relation Classification from Noisy Data
Jun Feng, Minlie Huang, Li Zhao +2
cs.IRcs.LGstat.MLarXiv:1808.08013v12018
Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets
Gordon V. Cormack, Mark D. Smucker, Charles L. A. Clarke
cs.IRarXiv:1004.5168v12010
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Le Wu, Junwei Li, Peijie Sun +3
cs.SIcs.IRcs.LGarXiv:2002.00844v42020
Improving Topic Models with Latent Feature Word Representations
Dat Quoc Nguyen, Richard Billingsley, Lan Du +1
cs.CLcs.IRcs.LGarXiv:1810.06306v12018
Optimizing Dense Retrieval Model Training with Hard Negatives
Jingtao Zhan, Jiaxin Mao, Yiqun Liu +3
cs.IRarXiv:2104.08051v12021
Solving the Cold-Start Problem in Recommender Systems with Social Tags
Zi-Ke Zhang, Chuang Liu, Yi-Cheng Zhang +1
cs.IRphysics.soc-pharXiv:1004.3732v22010
Ranking with Fairness Constraints
L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi
cs.DScs.CYcs.IRarXiv:1704.06840v42017
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao, Zhuyun Dai, Panupong Pasupat +8
cs.CLcs.AIcs.IRarXiv:2210.08726v32022
Outer Product-based Neural Collaborative Filtering
Xiangnan He, Xiaoyu Du, Xiang Wang +3
cs.IRcs.LGstat.MLarXiv:1808.03912v12018
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Qitian Wu, Hengrui Zhang, Xiaofeng Gao +4
cs.IRcs.LGcs.SIarXiv:1903.10433v12019
Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching
Pierre-François Marteau
cs.IRarXiv:cs/0703033v52007
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen, Zheng Liu, Xu Huang +9
cs.IRcs.AIcs.CLarXiv:2307.16376v12023
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen +3
cs.CLcs.AIcs.IRarXiv:2210.02627v12022
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
Jon Saad-Falcon, Omar Khattab, Christopher Potts +1
cs.CLcs.AIcs.IRarXiv:2311.09476v22023
Current Challenges and Visions in Music Recommender Systems Research
Markus Schedl, Hamed Zamani, Ching-Wei Chen +2
cs.IRarXiv:1710.03208v22017
NPA: Neural News Recommendation with Personalized Attention
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
cs.IRcs.CLarXiv:1907.05559v12019
Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao, Wenqiang Lei, Xiangnan He +2
cs.IRcs.CLarXiv:2101.09459v72021
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Baotian Hu, Qingcai Chen, Fangze Zhu
cs.CLcs.IRcs.LGarXiv:1506.05865v42015
CEDR: Contextualized Embeddings for Document Ranking
Sean MacAvaney, Andrew Yates, Arman Cohan +1
cs.IRcs.CLarXiv:1904.07094v32019
A Comprehensive Survey on Automatic Knowledge Graph Construction
Lingfeng Zhong, Jia Wu, Qian Li +2
cs.IRarXiv:2302.05019v12023
Towards Universal Sequence Representation Learning for Recommender Systems
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao +3
cs.IRcs.AIcs.LGarXiv:2206.05941v12022
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
Jie Lei, Licheng Yu, Tamara L. Berg +1
cs.CVcs.CLcs.IRarXiv:2001.09099v22020
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval
Cheng Deng, Zhaojia Chen, Xianglong Liu +2
cs.IRarXiv:1904.02449v12019
Fighting an Infodemic: COVID-19 Fake News Dataset
Parth Patwa, Shivam Sharma, Srinivas Pykl +6
cs.CLcs.IRcs.SIarXiv:2011.03327v42020
Contrastive Learning for Cold-Start Recommendation
Yinwei Wei, Xiang Wang, Qi Li +4
cs.IRcs.MMarXiv:2107.05315v32021
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Hugo Laurençon, Lucile Saulnier, Léo Tronchon +9
cs.IRcs.CVarXiv:2306.16527v22023
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan +4
cs.IRcs.AIcs.LGarXiv:1901.09888v12019
Learning over Knowledge-Base Embeddings for Recommendation
Yongfeng Zhang, Qingyao Ai, Xu Chen +1
cs.IRarXiv:1803.06540v22018
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li, Yining Wang, Aarti Singh +1
cs.LGcs.CRcs.IRarXiv:1608.08182v22016
The Why and How of Nonnegative Matrix Factorization
Nicolas Gillis
stat.MLcs.IRcs.LGarXiv:1401.5226v22014
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier +1
cs.CLcs.IRcs.LGarXiv:1603.06679v32016
catch22: CAnonical Time-series CHaracteristics
Carl H Lubba, Sarab S Sethi, Philip Knaute +3
cs.IRcs.LGstat.MLarXiv:1901.10200v22019
A Deep Look into Neural Ranking Models for Information Retrieval
Jiafeng Guo, Yixing Fan, Liang Pang +6
cs.IRarXiv:1903.06902v32019
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney +1
cs.CVcs.CLcs.IRarXiv:2108.04024v12021
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature
Babak Saleh, Ahmed Elgammal
cs.CVcs.IRcs.LGarXiv:1505.00855v12015
A systematic review and taxonomy of explanations in decision support and recommender systems
Ingrid Nunes, Dietmar Jannach
cs.AIcs.IRarXiv:2006.08672v12020
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Xiaohan Wang, Yuhui Zhang, Orr Zohar +1
cs.CVcs.AIcs.CLarXiv:2403.10517v12024
Bootstrap Latent Representations for Multi-modal Recommendation
Xin Zhou, Hongyu Zhou, Yong Liu +5
cs.IRarXiv:2207.05969v32022
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
Xiangyu Zhao, Liang Zhang, Zhuoye Ding +3
cs.IRcs.LGstat.MLarXiv:1802.06501v32018
Data Mining: A prediction for performance improvement using classification
Brijesh Kumar Bhardwaj, Saurabh Pal
cs.IRarXiv:1201.3418v12012
Searching in one billion vectors: re-rank with source coding
Hervé Jégou, Romain Tavenard, Matthijs Douze +1
cs.IRcs.CVarXiv:1102.3828v12011
Recommender Systems with Generative Retrieval
Shashank Rajput, Nikhil Mehta, Anima Singh +10
cs.IRcs.LGarXiv:2305.05065v32023
Faithful to the Original: Fact Aware Neural Abstractive Summarization
Ziqiang Cao, Furu Wei, Wenjie Li +1
cs.IRcs.CLarXiv:1711.04434v12017
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu, Yingtong Dou, Philip S. Yu +2
cs.SIcs.IRcs.LGarXiv:2005.00625v32020
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Junjie Zhang, Ruobing Xie, Yupeng Hou +3
cs.IRcs.CLarXiv:2305.07001v12023
Locating the Source of Diffusion in Large-Scale Networks
Pedro C. Pinto, Patrick Thiran, Martin Vetterli
cs.SIcs.IRphysics.soc-pharXiv:1208.2534v12012
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Jiacheng Li, Ming Wang, Jin Li +4
cs.IRarXiv:2305.13731v22023
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
Luyu Gao, Jamie Callan
cs.IRcs.CLarXiv:2108.05540v12021
Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
Pengcheng Jiang, Zhiyi Shi, Kelly Hong +5
cs.AIcs.CLcs.IRarXiv:2606.02373v12026
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Omar Khattab, Keshav Santhanam, Xiang Lisa Li +4
cs.CLcs.IRarXiv:2212.14024v22022
Open Source Software for Efficient and Transparent Reviews
Rens van de Schoot, Jonathan de Bruin, Raoul Schram +14
cs.IRcs.LGarXiv:2006.12166v32020
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi +3
cs.NEcs.IRarXiv:1507.02221v12015
Collaborative Deep Learning for Recommender Systems
Hao Wang, Naiyan Wang, Dit-Yan Yeung
cs.LGcs.CLcs.IRarXiv:1409.2944v22014
From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews
Julian McAuley, Jure Leskovec
cs.SIcs.IRphysics.soc-pharXiv:1303.4402v12013
Predicting the popularity of online content
Gabor Szabo, Bernardo A. Huberman
cs.CYcs.IRphysics.soc-pharXiv:0811.0405v12008

Information Retrieval

Learning Tree-based Deep Model for Recommender Systems

Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval

Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey

Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks

Reinforcement Learning for Relation Classification from Noisy Data

Efficient and Effective Spam Filtering and Re-ranking for Large Web Datasets

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

Improving Topic Models with Latent Feature Word Representations

Optimizing Dense Retrieval Model Training with Hard Negatives

Solving the Cold-Start Problem in Recommender Systems with Social Tags

Ranking with Fairness Constraints

RARR: Researching and Revising What Language Models Say, Using Language Models

Outer Product-based Neural Collaborative Filtering

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Current Challenges and Visions in Music Recommender Systems Research

NPA: Neural News Recommendation with Personalized Attention

Advances and Challenges in Conversational Recommender Systems: A Survey

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

CEDR: Contextualized Embeddings for Document Ranking

A Comprehensive Survey on Automatic Knowledge Graph Construction

Towards Universal Sequence Representation Learning for Recommender Systems

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval

Triplet-Based Deep Hashing Network for Cross-Modal Retrieval

Fighting an Infodemic: COVID-19 Fake News Dataset

Contrastive Learning for Cold-Start Recommendation

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

Learning over Knowledge-Base Embeddings for Recommendation

Data Poisoning Attacks on Factorization-Based Collaborative Filtering

The Why and How of Nonnegative Matrix Factorization

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis

catch22: CAnonical Time-series CHaracteristics

A Deep Look into Neural Ranking Models for Information Retrieval

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

A systematic review and taxonomy of explanations in decision support and recommender systems

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Bootstrap Latent Representations for Multi-modal Recommendation

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning

Data Mining: A prediction for performance improvement using classification

Searching in one billion vectors: re-rank with source coding

Recommender Systems with Generative Retrieval

Faithful to the Original: Fact Aware Neural Abstractive Summarization

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Locating the Source of Diffusion in Large-Scale Networks

Text Is All You Need: Learning Language Representations for Sequential Recommendation

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Open Source Software for Efficient and Transparent Reviews

A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion

Collaborative Deep Learning for Recommender Systems

From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews

Predicting the popularity of online content