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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961 to 1,020 of 1,626

How opinions are received by online communities: A case study on Amazon.com helpfulness votes
Cristian Danescu-Niculescu-Mizil, Gueorgi Kossinets, Jon Kleinberg +1
cs.CLcs.IRphysics.data-anarXiv:0906.3741v12009
Real-time Bidding for Online Advertising: Measurement and Analysis
Shuai Yuan, Jun Wang, Xiaoxue Zhao
cs.GTcs.CEcs.IRarXiv:1306.6542v12013
Towards Knowledge-Based Recommender Dialog System
Qibin Chen, Junyang Lin, Yichang Zhang +4
cs.CLcs.IRcs.LGarXiv:1908.05391v22019
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder +1
cs.CLcs.IRarXiv:2005.00357v52020
Deep Item-based Collaborative Filtering for Top-N Recommendation
Feng Xue, Xiangnan He, Xiang Wang +3
cs.IRarXiv:1811.04392v12018
A Question-Entailment Approach to Question Answering
Asma Ben Abacha, Dina Demner-Fushman
cs.CLcs.AIcs.IRarXiv:1901.08079v12019
A Survey of Graph Neural Networks for Social Recommender Systems
Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi +4
cs.SIcs.IRcs.LGarXiv:2212.04481v32022
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
Qiang Jipeng, Qian Zhenyu, Li Yun +2
cs.IRcs.CLarXiv:1904.07695v12019
Automated Fact-Checking for Assisting Human Fact-Checkers
Preslav Nakov, David Corney, Maram Hasanain +6
cs.AIcs.CLcs.CRarXiv:2103.07769v22021
Scientific Paper Summarization Using Citation Summary Networks
Vahed Qazvinian, Dragomir R. Radev
cs.IRcs.CLarXiv:0807.1560v12008
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
Xin Zhou, Zhiqi Shen
cs.IRcs.MMarXiv:2211.06924v32022
Truth Finding on the Deep Web: Is the Problem Solved?
Xian Li, Xin Luna Dong, Kenneth Lyons +2
cs.DBcs.IRarXiv:1503.00303v12015
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar, Mannat Singh, Nikhila Ravi +3
cs.CVcs.AIcs.IRarXiv:2201.08377v22022
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews
Zhiyong Cheng, Ying Ding, Lei Zhu +1
cs.IRarXiv:1802.07938v12018
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking
Yi Tay, Anh Tuan Luu, Siu Cheung Hui
cs.AIcs.IRarXiv:1707.05176v32017
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Yuta Saito, Suguru Yaginuma, Yuta Nishino +2
stat.MLcs.IRcs.LGarXiv:1909.03601v32019
E-commerce in Your Inbox: Product Recommendations at Scale
Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric +4
cs.AIcs.IRcs.SIarXiv:1606.07154v12016
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
Isabelle Augenstein, Christina Lioma, Dongsheng Wang +4
cs.CLcs.IRcs.LGarXiv:1909.03242v22019
Causal Embeddings for Recommendation
Stephen Bonner, Flavian Vasile
cs.IRarXiv:1706.07639v62017
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig, Dietmar Jannach
cs.IRcs.AIcs.LGarXiv:1803.09587v22018
Pre-training Tasks for Embedding-based Large-scale Retrieval
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang +2
cs.LGcs.CLcs.IRarXiv:2002.03932v12020
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva +6
cs.CLcs.AIcs.IRarXiv:1911.10422v12019
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
Ke Liang, Lingyuan Meng, Meng Liu +6
cs.AIcs.CLcs.IRarXiv:2212.05767v72022
DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search
Junzhao Zhang, Tao Zhang, Liren Yu +4
cs.LGcs.IRarXiv:2608.25635v12026
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit +2
cs.LGcs.IRcs.SEarXiv:1909.09436v32019
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley, Jure Leskovec, Dan Jurafsky
cs.CLcs.IRcs.LGarXiv:1210.3926v22012
Knowledge Conflicts for LLMs: A Survey
Rongwu Xu, Zehan Qi, Zhijiang Guo +4
cs.CLcs.AIcs.IRarXiv:2403.08319v22024
Generation-Augmented Retrieval for Open-domain Question Answering
Yuning Mao, Pengcheng He, Xiaodong Liu +4
cs.CLcs.IRarXiv:2009.08553v42020
A Comprehensive Survey on Cross-modal Retrieval
Kaiye Wang, Qiyue Yin, Wei Wang +2
cs.MMcs.CLcs.IRarXiv:1607.06215v12016
DDTCDR: Deep Dual Transfer Cross Domain Recommendation
Pan Li, Alexander Tuzhilin
cs.IRcs.LGarXiv:1910.05189v12019
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation
Chang Zhou, Jinze Bai, Junshuai Song +4
cs.AIcs.IRarXiv:1711.06632v22017
The Capacity of Robust Private Information Retrieval with Colluding Databases
Hua Sun, Syed A. Jafar
cs.ITcs.CRcs.IRarXiv:1605.00635v12016
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
Chuhan Wu, Fangzhao Wu, Yang Cao +2
cs.IRarXiv:2102.04925v22021
Dense Text Retrieval based on Pretrained Language Models: A Survey
Wayne Xin Zhao, Jing Liu, Ruiyang Ren +1
cs.IRarXiv:2211.14876v12022
Feedback Loop and Bias Amplification in Recommender Systems
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy +2
cs.IRarXiv:2007.13019v12020
Query expansion techniques for information retrieval: A survey
Hiteshwar Kumar Azad, Akshay Deepak
cs.IRarXiv:1708.00247v22017
Interest-aware Message-Passing GCN for Recommendation
Fan Liu, Zhiyong Cheng, Lei Zhu +2
cs.IRarXiv:2102.10044v22021
HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks
Chuan Shi, Xiangnan Kong, Yue Huang +2
cs.IRcs.AIarXiv:1309.7393v12013
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
Qi Pi, Weijie Bian, Guorui Zhou +2
cs.IRarXiv:1905.09248v32019
Diffusion Recommender Model
Wenjie Wang, Yiyan Xu, Fuli Feng +3
cs.IRarXiv:2304.04971v32023
Denoising Implicit Feedback for Recommendation
Wenjie Wang, Fuli Feng, Xiangnan He +2
cs.IRarXiv:2006.04153v22020
Neural Rating Regression with Abstractive Tips Generation for Recommendation
Piji Li, Zihao Wang, Zhaochun Ren +2
cs.CLcs.AIcs.IRarXiv:1708.00154v12017
Neural News Recommendation with Attentive Multi-View Learning
Chuhan Wu, Fangzhao Wu, Mingxiao An +3
cs.CLcs.IRcs.LGarXiv:1907.05576v12019
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov +1
cs.SIcs.CLcs.IRarXiv:2008.07939v22020
SemEval-2016 Task 4: Sentiment Analysis in Twitter
Preslav Nakov, Alan Ritter, Sara Rosenthal +2
cs.CLcs.IRarXiv:1912.01973v12019
Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach
Hamed Jelodar, Yongli Wang, Rita Orji +1
cs.IRcs.CLarXiv:2004.11695v12020
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction
Hongwei Wang, Fuzheng Zhang, Min Hou +3
stat.MLcs.IRcs.LGarXiv:1712.00732v12017
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
Wenqiang Lei, Xiangnan He, Yisong Miao +4
cs.IRarXiv:2002.09102v12020
Collaborative Filtering and the Missing at Random Assumption
Benjamin Marlin, Richard S. Zemel, Sam Roweis +1
cs.LGcs.IRstat.MLarXiv:1206.5267v12012
WikiHow: A Large Scale Text Summarization Dataset
Mahnaz Koupaee, William Yang Wang
cs.CLcs.IRcs.LGarXiv:1810.09305v12018
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
Yupeng Hou, Jiacheng Li, Xiangjun Fu +4
cs.IRarXiv:2403.03952v22024
Discovering Discrete Latent Topics with Neural Variational Inference
Yishu Miao, Edward Grefenstette, Phil Blunsom
cs.CLcs.AIcs.IRarXiv:1706.00359v22017
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
cs.IRarXiv:1901.07555v42019
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu +13
cs.LGcs.AIcs.IRarXiv:2304.05055v32023
Decoding billions of integers per second through vectorization
Daniel Lemire, Leonid Boytsov
cs.IRcs.DBarXiv:1209.2137v72012
A Survey on the Fairness of Recommender Systems
Yifan Wang, Weizhi Ma, Min Zhang +2
cs.IRarXiv:2206.03761v22022
Knowledge Graph Prompting for Multi-Document Question Answering
Yu Wang, Nedim Lipka, Ryan A. Rossi +3
cs.CLcs.AIcs.IRarXiv:2308.11730v32023
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
Zheng Yuan, Fajie Yuan, Yu Song +5
cs.IRarXiv:2303.13835v42023
Deep Session Interest Network for Click-Through Rate Prediction
Yufei Feng, Fuyu Lv, Weichen Shen +4
cs.IRarXiv:1905.06482v12019
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman +2
cs.IRcs.SIarXiv:2005.10898v12020

Information Retrieval

How opinions are received by online communities: A case study on Amazon.com helpfulness votes

Real-time Bidding for Online Advertising: Measurement and Analysis

Towards Knowledge-Based Recommender Dialog System

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research

Deep Item-based Collaborative Filtering for Top-N Recommendation

A Question-Entailment Approach to Question Answering

A Survey of Graph Neural Networks for Social Recommender Systems

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey

Automated Fact-Checking for Assisting Human Fact-Checkers

Scientific Paper Summarization Using Citation Summary Networks

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation

Truth Finding on the Deep Web: Is the Problem Solved?

Omnivore: A Single Model for Many Visual Modalities

Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback

E-commerce in Your Inbox: Product Recommendations at Scale

MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims

Causal Embeddings for Recommendation

Evaluation of Session-based Recommendation Algorithms

Pre-training Tasks for Embedding-based Large-scale Retrieval

SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

DCEO: Direct Causal Effect Optimization for Long-Term User Value Modeling in E-commerce Search

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Learning Attitudes and Attributes from Multi-Aspect Reviews

Knowledge Conflicts for LLMs: A Survey

Generation-Augmented Retrieval for Open-domain Question Answering

A Comprehensive Survey on Cross-modal Retrieval

DDTCDR: Deep Dual Transfer Cross Domain Recommendation

ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation

The Capacity of Robust Private Information Retrieval with Colluding Databases

FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation

Dense Text Retrieval based on Pretrained Language Models: A Survey

Feedback Loop and Bias Amplification in Recommender Systems

Query expansion techniques for information retrieval: A survey

Interest-aware Message-Passing GCN for Recommendation

HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

Diffusion Recommender Model

Denoising Implicit Feedback for Recommendation

Neural Rating Regression with Abstractive Tips Generation for Recommendation

Neural News Recommendation with Attentive Multi-View Learning

FANG: Leveraging Social Context for Fake News Detection Using Graph Representation

SemEval-2016 Task 4: Sentiment Analysis in Twitter

Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

Collaborative Filtering and the Missing at Random Assumption

WikiHow: A Large Scale Text Summarization Dataset

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Discovering Discrete Latent Topics with Neural Variational Inference

Managing Popularity Bias in Recommender Systems with Personalized Re-ranking

A Comprehensive Survey on Deep Graph Representation Learning

Decoding billions of integers per second through vectorization

A Survey on the Fairness of Recommender Systems

Knowledge Graph Prompting for Multi-Document Question Answering

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

Deep Session Interest Network for Click-Through Rate Prediction

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification