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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241 to 300 of 1,626

Fast Exact Search in Hamming Space with Multi-Index Hashing
Mohammad Norouzi, Ali Punjani, David J. Fleet
cs.CVcs.AIcs.DSarXiv:1307.2982v32013
Information Retrieval: Recent Advances and Beyond
Kailash A. Hambarde, Hugo Proenca
cs.IRarXiv:2301.08801v12023
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
Elena Smirnova, Flavian Vasile
cs.IRarXiv:1706.07684v12017
Causal Inference in Recommender Systems: A Survey and Future Directions
Chen Gao, Yu Zheng, Wenjie Wang +3
cs.IRarXiv:2208.12397v22022
A Survey of Point-of-interest Recommendation in Location-based Social Networks
Shenglin Zhao, Irwin King, Michael R. Lyu
cs.IRarXiv:1607.00647v12016
Data Mining Applications: A comparative Study for Predicting Student's performance
Surjeet Kumar Yadav, Brijesh Bharadwaj, Saurabh Pal
cs.IRcs.DBarXiv:1202.4815v22012
SAM-D2Q: Aligning Multimodal Doc2Query with Search Demand and Conversion for E-commerce
Hui Zhou, Jian Hui Ji, Lei Ma +2
cs.IRarXiv:2609.04961v12026
Joint Reasoning for Temporal and Causal Relations
Qiang Ning, Zhili Feng, Hao Wu +1
cs.CLcs.AIcs.IRarXiv:1906.04941v12019
Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval
Maddalena Amendola, Antonio Mallia, Raffaele Perego
cs.IRarXiv:2609.05110v12026
A Survey on Retrieval-Augmented Text Generation for Large Language Models
Yizheng Huang, Jimmy Huang
cs.IRcs.AIcs.CLarXiv:2404.10981v22024
AtomRec: Evolving Atomic Memory for Agentic Recommendation
Peiyu Hu, Weihai Lu, Siying Gu +5
cs.IRarXiv:2609.04882v12026
Personalized Task Dependency Graphs for Mitigating Signal Erosion in Multi-Task Recommendation
Fuyuan Liu, Tiandeng Wu, Yaqun Fang +8
cs.IRarXiv:2609.04862v12026
Beyond Maintenance Manual Multimodal RAG: Suggesting What Tool
Seongjun Ha, Md Rashedul Islam
cs.ETcs.IRarXiv:2609.05116v12026
Inventory-Grounded Policy-Level Optimization for Training-Free AI Search
Wei Zhou, Tiandeng Wu, Jiandong Ding +2
cs.IRarXiv:2609.04813v12026
VizIt: A multi-view framework for exploring single-cell, spatial, and genetic data online
Chenhang Christopher Zhang, Yanqing Lou, Jie Yuan +8
cs.IRq-bio.GNarXiv:2609.04658v12026
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
Chuangtao Ma, Yongrui Chen, Tianxing Wu +2
cs.CLcs.AIcs.IRarXiv:2505.20099v22025
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados, Mohammad Taher Pilehvar
cs.CLcs.IRarXiv:1707.01780v32017
The WebKurator.de Platform: Combined Regional and Topical Web Curation
Michael Dinzinger, Natanael Arndt, Ben Böck +2
cs.IRarXiv:2609.03971v12026
Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis
Haohan Wang, Aaksha Meghawat, Louis-Philippe Morency +1
cs.CLcs.IRarXiv:1609.05244v22016
The Utility of LLMs in Recommender Systems Explanation Evaluation
Kathrin Wardatzky, Oana Inel, Luca Rossetto +1
cs.IRcs.AIarXiv:2609.01627v12026
PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
Chengcheng Guo, Kuo Cai, Yu Zhou +5
cs.IRarXiv:2601.04674v12026
Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
Ziyi Zhao, Chongming Gao, Yang Zhang +5
cs.CLcs.IRarXiv:2601.12034v12026
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Luyu Gao, Yunyi Zhang, Jiawei Han +1
cs.LGcs.CLcs.IRarXiv:2101.06983v22021
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Lianghao Xia, Chao Huang, Yong Xu +3
cs.IRcs.AIarXiv:2110.04002v12021
NextMem: Towards Latent Factual Memory for LLM-based Agents
Zeyu Zhang, Rui Li, Xiaoyan Zhao +4
cs.AIcs.IRcs.LGarXiv:2603.15634v12026
GR2: Generative Reasoning Re-ranker
Mingfu Liang, Yufei Li, Jay Xu +20
cs.IRcs.AIarXiv:2602.07774v62026
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
Yibo Yan, Mingdong Ou, Yi Cao +5
cs.CLcs.CVcs.IRarXiv:2602.19549v22026
Parallel Latent Reasoning for Sequential Recommendation
Jiakai Tang, Xu Chen, Wen Chen +3
cs.IRarXiv:2601.03153v12026
Collaborative Large Language Model for Recommender Systems
Yaochen Zhu, Liang Wu, Qi Guo +2
cs.IRarXiv:2311.01343v42023
LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
Lee Xiong, Zhirong Chen, Rahul Mayuranath +17
cs.IRcs.AIcs.LGarXiv:2601.20083v12026
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
Yingyi Zhang, Junyi Li, Wenlin Zhang +8
cs.IRarXiv:2603.09250v12026
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
Shuai Zhang, Lina Yao, Xiwei Xu
cs.IRarXiv:1704.00551v32017
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin, Rong Shan, Chenxu Zhu +6
cs.IRcs.AIarXiv:2308.11131v62023
MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning
Ahmad Mousavi, Majid Alikhani, Yeon-Chang Lee +2
cs.IRcs.LGcs.SIarXiv:2609.04574v12026
BiRank: Towards Ranking on Bipartite Graphs
Xiangnan He, Ming Gao, Min-Yen Kan +1
cs.IRarXiv:1708.04396v12017
FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning
Chuhan Wu, Fangzhao Wu, Xiting Wang +2
cs.IRarXiv:2006.16742v22020
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
Tianle Xia, Ming Xu, Lingxiang Hu +7
cs.CLcs.IRcs.LGarXiv:2602.22576v12026
HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval
Zequn Xie, Xin Liu, Boyun Zhang +3
cs.CVcs.IRarXiv:2601.16155v12026
Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence
Chad A Melton, Olufunto A Olusanya, Nariman Ammar +1
cs.IRcs.SIarXiv:2108.13293v12021
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
Shengyu Zhang, Dong Yao, Zhou Zhao +2
cs.IRarXiv:2109.05261v12021
Repeated Queries Exhaust an LLM's Brand Recommendations but Not Its Sources
Dmitrij Żatuchin
cs.IRcs.CLarXiv:2609.05059v12026
Multidimensional Social Network in the Social Recommender System
Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz
cs.SIcs.IRphysics.soc-pharXiv:1303.0093v12013
Latent-Aligned Reasoning for Multimodal Recommendation
Jiarui Jin, Anyang Ji
cs.IRcs.CLcs.CVarXiv:2609.04645v12026
MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval
Abdelrahman Abdallah, Mohamed Darwish Mounis, Mahmoud Abdalla +6
cs.IRarXiv:2601.09562v22026
Declarative Experimentation in Information Retrieval using PyTerrier
Craig Macdonald, Nicola Tonellotto
cs.IRarXiv:2007.14271v12020
AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders
Minh-Duc Nguyen, Hai-Dang Kieu, Dung D. Le
cs.IRcs.LGarXiv:2602.08837v12026
AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping
Sunghwan Kim, Ryang Heo, Yongsik Seo +2
cs.IRcs.AIarXiv:2602.12315v12026
FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering
Yixi Zhou, Fan Zhang, Yu Chen +3
cs.IRcs.AIcs.CLarXiv:2601.06992v22026
CAGE: Coherence-Aware Graph Encoding for Retrieval-Augmented Generation
Tong Qi, Jingyu Wu, Youbing Yin +3
cs.CLcs.IRarXiv:2609.04647v12026
From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents
Niu Lian, Yuting Wang, Hanshu Yao +5
cs.CVcs.AIcs.CLarXiv:2603.01455v32026
Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems
Tao Feng, Pengrui Han, Guanyu Lin +2
cs.CLcs.IRarXiv:2604.12231v12026
Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro
Aleksandra Osowska-Kurczab, Klaudia Nazarko, Eliška Kosturová +2
cs.IRcs.AIcs.LGarXiv:2609.05063v12026
Semantic Models for the First-stage Retrieval: A Comprehensive Review
Jiafeng Guo, Yinqiong Cai, Yixing Fan +3
cs.IRarXiv:2103.04831v42021
CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization
Xikai Yang, Sebastian Sun, Yilin Li +3
cs.LGcs.IRarXiv:2602.18786v12026
Exploring Author Gender in Book Rating and Recommendation
Michael D. Ekstrand, Daniel Kluver
cs.IRcs.HCarXiv:1808.07586v22018
Multi-Domain Collaborative Filtering
Yu Zhang, Bin Cao, Dit-Yan Yeung
cs.IRcs.AIarXiv:1203.3535v12012
RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation
Kaustubh D. Dhole, Eugene Agichtein
cs.IRcs.AIcs.CLarXiv:2603.20882v12026
Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability
Ankit Goyal, Jaideep Ray
cs.AIcs.CLcs.IRarXiv:2609.05339v12026
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
Xinyu Zhang, Xueguang Ma, Peng Shi +1
cs.CLcs.IRarXiv:2108.08787v22021
A Tree-based RAG Framework for Evidence-Intensive QA via Adaptive Planning and Topology-Aware Evidence Gathering
Songeun Lee, Kyungjin Min, Injae Na +3
cs.AIcs.IRarXiv:2609.04981v12026

Information Retrieval

Fast Exact Search in Hamming Space with Multi-Index Hashing

Information Retrieval: Recent Advances and Beyond

Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks

Causal Inference in Recommender Systems: A Survey and Future Directions

A Survey of Point-of-interest Recommendation in Location-based Social Networks

Data Mining Applications: A comparative Study for Predicting Student's performance

SAM-D2Q: Aligning Multimodal Doc2Query with Search Demand and Conversion for E-commerce

Joint Reasoning for Temporal and Causal Relations

Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval

A Survey on Retrieval-Augmented Text Generation for Large Language Models

AtomRec: Evolving Atomic Memory for Agentic Recommendation

Personalized Task Dependency Graphs for Mitigating Signal Erosion in Multi-Task Recommendation

Beyond Maintenance Manual Multimodal RAG: Suggesting What Tool

Inventory-Grounded Policy-Level Optimization for Training-Free AI Search

VizIt: A multi-view framework for exploring single-cell, spatial, and genetic data online

Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities

On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis

The WebKurator.de Platform: Combined Regional and Topical Web Curation

Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis

The Utility of LLMs in Recommender Systems Explanation Evaluation

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations

Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

NextMem: Towards Latent Factual Memory for LLM-based Agents

GR2: Generative Reasoning Re-ranker

Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework

Parallel Latent Reasoning for Sequential Recommendation

Collaborative Large Language Model for Recommender Systems

LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval

AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

MURAL: Multimodal Uncertainty-aware Recommendation via Adaptive edge Learning

BiRank: Towards Ranking on Bipartite Graphs

FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning

Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training

HVD: Human Vision-Driven Video Representation Learning for Text-Video Retrieval

Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence

CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation

Repeated Queries Exhaust an LLM's Brand Recommendations but Not Its Sources

Multidimensional Social Network in the Social Recommender System

Latent-Aligned Reasoning for Multimodal Recommendation

MM-BRIGHT: A Multi-Task Multimodal Benchmark for Reasoning-Intensive Retrieval

Declarative Experimentation in Information Retrieval using PyTerrier

AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders

AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping

FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering

CAGE: Coherence-Aware Graph Encoding for Retrieval-Augmented Generation

From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents

Thought-Retriever: Don't Just Retrieve Raw Data, Retrieve Thoughts for Memory-Augmented Agentic Systems

Beyond Co-purchase Relation: Evolution of Complementary Recommendations at Allegro

Semantic Models for the First-stage Retrieval: A Comprehensive Review

CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization

Exploring Author Gender in Book Rating and Recommendation

Multi-Domain Collaborative Filtering

RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation

Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

A Tree-based RAG Framework for Evidence-Intensive QA via Adaptive Planning and Topology-Aware Evidence Gathering