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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901 to 960 of 1,625

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Feng Yu, Yanqiao Zhu, Qiang Liu +3
cs.IRcs.LGarXiv:2005.02844v12020
Fast and accurate sentiment classification using an enhanced Naive Bayes model
Vivek Narayanan, Ishan Arora, Arjun Bhatia
cs.CLcs.IRcs.LGarXiv:1305.6143v22013
Modeling Missing Data in Clinical Time Series with RNNs
Zachary C. Lipton, David C. Kale, Randall Wetzel
cs.LGcs.IRcs.NEarXiv:1606.04130v52016
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
Wen Chen, Pipei Huang, Jiaming Xu +7
cs.IRarXiv:1905.01866v32019
Knowledge Tracing with Sequential Key-Value Memory Networks
Ghodai Abdelrahman, Qing Wang
cs.LGcs.AIcs.IRarXiv:1910.13197v12019
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
Ilya Shenbin, Anton Alekseev, Elena Tutubalina +2
cs.IRcs.LGarXiv:1912.11160v12019
Unbiased Learning to Rank with Unbiased Propensity Estimation
Qingyao Ai, Keping Bi, Cheng Luo +2
cs.IRarXiv:1804.05938v22018
Learning a Deep Listwise Context Model for Ranking Refinement
Qingyao Ai, Keping Bi, Jiafeng Guo +1
cs.IRarXiv:1804.05936v22018
Nested Byte-Level Vocabularies Are Cheap to Deploy and Expensive to Share: A Pre-Registered Negative Result
Christos Koutsiaris
cs.CLcs.AIcs.IRarXiv:2608.28151v12026
Evaluating Link Prediction Methods
Yang Yang, Ryan N. Lichtenwalter, Nitesh V. Chawla
cs.IRcs.DBcs.SIarXiv:1505.04094v12015
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
Chongming Gao, Shijun Li, Wenqiang Lei +6
cs.IRcs.HCarXiv:2202.10842v32022
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li, Zeyu Cui, Shu Wu +2
cs.IRcs.LGarXiv:1910.05552v22019
LitCurate: A Configuration-Driven AI-Assisted Framework for Scientific Database Construction with an Application to Lower-Mantle Equation-of-State Data
Abin Shakya, Wilson Samuels, Dominica Wilson +4
cs.IRcs.AIphysics.geo-pharXiv:2608.27629v12026
Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov +2
cs.IRcs.LGstat.MLarXiv:1810.01765v12018
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
Song Yang, Jiamou Liu, Kaiqi Zhao
cs.IRcs.LGarXiv:2303.04741v12023
COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
Luyu Gao, Zhuyun Dai, Jamie Callan
cs.IRcs.CLarXiv:2104.07186v12021
Spam Review Detection with Graph Convolutional Networks
Ao Li, Zhou Qin, Runshi Liu +2
cs.IRcs.LGcs.NIarXiv:1908.10679v12019
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation
Pengjie Ren, Zhumin Chen, Jing Li +3
cs.IRarXiv:1812.02646v12018
Item Silk Road: Recommending Items from Information Domains to Social Users
Xiang Wang, Xiangnan He, Liqiang Nie +1
cs.IRcs.AIcs.SIarXiv:1706.03205v12017
Multisided Fairness for Recommendation
Robin Burke
cs.CYcs.IRarXiv:1707.00093v22017
An Empirical Evaluation of Cross-City POI Recommendation on a Large-Scale Benchmark
Peibo Li, Yang Song, Hao Xue +2
cs.AIcs.IRarXiv:2608.27840v12026
Query2doc: Query Expansion with Large Language Models
Liang Wang, Nan Yang, Furu Wei
cs.IRcs.CLarXiv:2303.07678v22023
CareGraph: An Auditable Hybrid AI Framework for Evidence-Grounded Personalized Longitudinal Health Intelligence
Pratik Ghawate, Tanvi Patil
cs.AIcs.IRcs.MAarXiv:2608.27484v12026
Fast and accurate annotation of short texts with Wikipedia pages
Paolo Ferragina, Ugo Scaiella
cs.IRarXiv:1006.3498v22010
OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
Zhuofeng Li, Dongfu Jiang, Xueguang Ma +7
cs.IRcs.AIcs.CLarXiv:2603.20278v12026
Large language models can accurately predict searcher preferences
Paul Thomas, Seth Spielman, Nick Craswell +1
cs.IRcs.AIcs.CLarXiv:2309.10621v32023
Evolution of Semantic Similarity -- A Survey
Dhivya Chandrasekaran, Vijay Mago
cs.CLcs.IRarXiv:2004.13820v22020
The Unfairness of Popularity Bias in Recommendation
Himan Abdollahpouri, Masoud Mansoury, Robin Burke +1
cs.IRarXiv:1907.13286v32019
Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model
Marzieh Mozafari, Reza Farahbakhsh, Noel Crespi
cs.SIcs.CLcs.IRarXiv:2008.06460v22020
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang, Yixin Chen
cs.IRcs.LGstat.MLarXiv:1904.12058v32019
Large Language Models as Zero-Shot Conversational Recommenders
Zhankui He, Zhouhang Xie, Rahul Jha +6
cs.IRcs.AIarXiv:2308.10053v12023
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
Lixin Zou, Long Xia, Zhuoye Ding +3
cs.IRarXiv:1902.05570v42019
Query Expansion with Locally-Trained Word Embeddings
Fernando Diaz, Bhaskar Mitra, Nick Craswell
cs.IRcs.CLarXiv:1605.07891v22016
A Personalized System for Conversational Recommendations
M. H. Goker, P. Langley, C. A. Thompson
cs.IRcs.AIarXiv:1107.0029v12011
Collaborative Memory Network for Recommendation Systems
Travis Ebesu, Bin Shen, Yi Fang
cs.IRarXiv:1804.10862v22018
Exploiting Multi-domain Visual Information for Fake News Detection
Peng Qi, Juan Cao, Tianyun Yang +2
cs.MMcs.IRcs.SIarXiv:1908.04472v12019
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou, Zhankui He, Julian McAuley +1
cs.IRcs.LGarXiv:2210.12316v22022
Dynamic Graph Neural Networks for Sequential Recommendation
Mengqi Zhang, Shu Wu, Xueli Yu +2
cs.IRarXiv:2104.07368v22021
Tensor Graph Convolutional Networks for Text Classification
Xien Liu, Xinxin You, Xiao Zhang +2
cs.CLcs.IRcs.LGarXiv:2001.05313v12020
TransNets: Learning to Transform for Recommendation
Rose Catherine, William Cohen
cs.IRcs.CLcs.LGarXiv:1704.02298v22017
Multi-Modal Self-Supervised Learning for Recommendation
Wei Wei, Chao Huang, Lianghao Xia +1
cs.IRarXiv:2302.10632v52023
Structure and Dynamics of Information Pathways in Online Media
Manuel Gomez Rodriguez, Jure Leskovec, Bernhard Schölkopf
cs.SIcs.DScs.IRarXiv:1212.1464v12012
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
Tal Schuster, Adam Fisch, Regina Barzilay
cs.CLcs.IRcs.LGarXiv:2103.08541v12021
Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier
Lopamudra Dey, Sanjay Chakraborty, Anuraag Biswas +2
cs.IRcs.CLarXiv:1610.09982v12016
Portuguese Named Entity Recognition using BERT-CRF
Fábio Souza, Rodrigo Nogueira, Roberto Lotufo
cs.CLcs.IRcs.LGarXiv:1909.10649v22019
Consensus clustering in complex networks
Andrea Lancichinetti, Santo Fortunato
physics.soc-phcs.IRcs.SIarXiv:1203.6093v12012
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems
Zeyu Cui, Jianxin Ma, Chang Zhou +2
cs.IRarXiv:2205.08084v22022
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Yuqi Zhu, Xiaohan Wang, Jing Chen +6
cs.CLcs.AIcs.DBarXiv:2305.13168v42023
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach
Leila Arras, Franziska Horn, Grégoire Montavon +2
cs.CLcs.IRcs.LGarXiv:1612.07843v12016
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Wang-Cheng Kang, Chen Fang, Zhaowen Wang +1
cs.CVcs.AIcs.HCarXiv:1711.02231v12017
User-oriented Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Zuohui Fu +2
cs.IRcs.AIcs.HCarXiv:2104.10671v12021
Overview of the TREC 2020 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +1
cs.IRcs.AIcs.CLarXiv:2102.07662v12021
Overview of the TREC 2019 deep learning track
Nick Craswell, Bhaskar Mitra, Emine Yilmaz +2
cs.IRcs.CLcs.LGarXiv:2003.07820v22020
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
Sebastian Hofstätter, Sophia Althammer, Michael Schröder +2
cs.IRarXiv:2010.02666v22020
A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration
Juan M. Banda, Ramya Tekumalla, Guanyu Wang +6
cs.SIcs.IRarXiv:2004.03688v22020
Cross-Domain Recommendation: Challenges, Progress, and Prospects
Feng Zhu, Yan Wang, Chaochao Chen +3
cs.IRcs.AIcs.LGarXiv:2103.01696v12021
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai, Lucy Liao, Xing Liu +9
cs.LGcs.IRarXiv:2402.17152v32024
Condenser: a Pre-training Architecture for Dense Retrieval
Luyu Gao, Jamie Callan
cs.CLcs.IRarXiv:2104.08253v22021
Multi-Pointer Co-Attention Networks for Recommendation
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
cs.CLcs.AIcs.IRarXiv:1801.09251v22018
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

Information Retrieval

TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation

Fast and accurate sentiment classification using an enhanced Naive Bayes model

Modeling Missing Data in Clinical Time Series with RNNs

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

Knowledge Tracing with Sequential Key-Value Memory Networks

RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback

Unbiased Learning to Rank with Unbiased Propensity Estimation

Learning a Deep Listwise Context Model for Ranking Refinement

Nested Byte-Level Vocabularies Are Cheap to Deploy and Expensive to Share: A Pre-Registered Negative Result

Evaluating Link Prediction Methods

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems

Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction

LitCurate: A Configuration-Driven AI-Assisted Framework for Scientific Database Construction with an Application to Lower-Mantle Equation-of-State Data

Predicting Factuality of Reporting and Bias of News Media Sources

GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List

Spam Review Detection with Graph Convolutional Networks

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation

Item Silk Road: Recommending Items from Information Domains to Social Users

Multisided Fairness for Recommendation

An Empirical Evaluation of Cross-City POI Recommendation on a Large-Scale Benchmark

Query2doc: Query Expansion with Large Language Models

CareGraph: An Auditable Hybrid AI Framework for Evidence-Grounded Personalized Longitudinal Health Intelligence

Fast and accurate annotation of short texts with Wikipedia pages

OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis

Large language models can accurately predict searcher preferences

Evolution of Semantic Similarity -- A Survey

The Unfairness of Popularity Bias in Recommendation

Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model

Inductive Matrix Completion Based on Graph Neural Networks

Large Language Models as Zero-Shot Conversational Recommenders

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems

Query Expansion with Locally-Trained Word Embeddings

A Personalized System for Conversational Recommendations

Collaborative Memory Network for Recommendation Systems

Exploiting Multi-domain Visual Information for Fake News Detection

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Dynamic Graph Neural Networks for Sequential Recommendation

Tensor Graph Convolutional Networks for Text Classification

TransNets: Learning to Transform for Recommendation

Multi-Modal Self-Supervised Learning for Recommendation

Structure and Dynamics of Information Pathways in Online Media

Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence

Sentiment Analysis of Review Datasets Using Naive Bayes and K-NN Classifier

Portuguese Named Entity Recognition using BERT-CRF

Consensus clustering in complex networks

M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities

"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach

Visually-Aware Fashion Recommendation and Design with Generative Image Models

User-oriented Fairness in Recommendation

Overview of the TREC 2020 deep learning track

Overview of the TREC 2019 deep learning track

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation

A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration

Cross-Domain Recommendation: Challenges, Progress, and Prospects

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Condenser: a Pre-training Architecture for Dense Retrieval

Multi-Pointer Co-Attention Networks for Recommendation

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