On the public citation graph
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction
0 signed · 283 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/icdm.2016.0151openalex-snapshot
Product-Based Neural Networks for User Response Prediction
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3124749.3124754openalex-snapshot
Deep & Cross Network for Ad Click Predictions
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot
Deep Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3289600.3290975openalex-snapshot
A Simple Convolutional Generative Network for Next Item Recommendation
inferredcites →https://doi.org/10.1145/3292500.3330666openalex-snapshot
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3331184.3331230openalex-snapshot
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
inferredcites →https://doi.org/10.1145/3357384.3357814openalex-snapshot
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015941openalex-snapshot
Deep Interest Evolution Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.24963/ijcai.2019/319openalex-snapshot
Deep Session Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.24963/ijcai.2019/585openalex-snapshot
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
inferredcites →https://doi.org/10.48550/arxiv.1405.5869openalex-snapshot
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
inferredcites →https://doi.org/10.48550/arxiv.1511.06939openalex-snapshot
Session-based Recommendations with Recurrent Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-28244-7_4openalex-snapshot
Exploiting Graph Structured Cross-Domain Representation for Multi-domain Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-30637-2_36openalex-snapshot
Accelerating Recommendation Inference via GPU Streams
inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_5openalex-snapshot
Cold-Start Based Multi-scenario Ranking Model for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-30678-5_25openalex-snapshot
Two-stage Interest Calibration Network for Reranking Hotels
inferred← citeshttps://doi.org/10.1007/978-3-031-43427-3_40openalex-snapshot
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving
inferred← citeshttps://doi.org/10.1007/978-3-032-37682-4_24openalex-snapshot
LIBER: Lifelong User Behavior Modeling Based on Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-95-3459-3_28openalex-snapshot
TARARec: Two-Stage Augmented Retrieval and Alignment for Recommendation Leveraging Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-96-0850-8_4openalex-snapshot
UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition
inferred← citeshttps://doi.org/10.1007/s10115-026-02700-wopenalex-snapshot
Sample enrichment via temporary operations on subsequences for sequential recommendation
inferred← citeshttps://doi.org/10.1007/s11704-023-3112-yopenalex-snapshot
A general tail item representation enhancement framework for sequential recommendation
inferred← citeshttps://doi.org/10.1007/s11704-025-41329-wopenalex-snapshot
A survey on sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111184openalex-snapshot
Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102853openalex-snapshot
Click-through rate prediction in online advertising: A literature review
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129076openalex-snapshot
A user behavior-aware multi-task learning model for enhanced short video recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107134openalex-snapshot
Sequential recommendation via agent-based irrelevancy skipping
inferred← citeshttps://doi.org/10.1017/s0269888925000025openalex-snapshot
A comprehensive survey on advertising click-through rate prediction algorithm
inferred← citeshttps://doi.org/10.1038/s41598-025-99671-9openalex-snapshot
Session interest model for CTR prediction based on feature co-action network
inferred← citeshttps://doi.org/10.1088/1742-6596/2363/1/012003openalex-snapshot
Session Recommendation Based on Edge Information Clustering
inferred← citeshttps://doi.org/10.1109/acait63902.2024.11022209openalex-snapshot
Inter-Session Feedback Modeling with Contrastive Learning for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/access.2022.3166185openalex-snapshot
Personalized Recommendation of Location-Based Services Using Spatio-Temporal-Aware Long and Short Term Neural Network
inferred← citeshttps://doi.org/10.1109/bdpc59998.2024.10649328openalex-snapshot
Towards Better Top-K Recommendation with Attention-Aware Collaborative Matrix Factorization
inferred← citeshttps://doi.org/10.1109/bigdata55660.2022.10020786openalex-snapshot
Boost CTR Prediction for New Advertisements via Modeling Visual Content
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386955openalex-snapshot
Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at Twitter
inferred← citeshttps://doi.org/10.1109/icaica58456.2023.10405490openalex-snapshot
Enhancing Click-Through Rate Prediction by User Multi-Type Behavior Sequences
inferred← citeshttps://doi.org/10.1109/iccc56324.2022.10065780openalex-snapshot
FNet4Rec: A Simple and Efficient Sequential Recommendation with Fourier Transforms
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00435openalex-snapshot
IRR-LMM: Improving On-Demand Retail Recommendation with Large Multi-Modal Models
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00059openalex-snapshot
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00182openalex-snapshot
OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00212openalex-snapshot
Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest
inferred← citeshttps://doi.org/10.1109/icde53745.2022.00324openalex-snapshot
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00234openalex-snapshot
Hierarchical Interest Modeling of Long-tailed Users for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00247openalex-snapshot
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00271openalex-snapshot
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00117openalex-snapshot
Meta-Learning Based CTR Algorithm Selection and Hyperparameter Optimization
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00322openalex-snapshot
MSPR: A Multi-Scenario Player Recommendation Framework for Online Gaming
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00293openalex-snapshot
Cascading Relevance-Driven Recommendation Network for CTR Prediction in Trigger-Introduced Recommendation
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00091openalex-snapshot
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling
inferred← citeshttps://doi.org/10.1109/icdm54844.2022.00166openalex-snapshot
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
inferred← citeshttps://doi.org/10.1109/icosse58936.2023.00021openalex-snapshot
A Multi-task Learning Based Interest Fusion Model for Recommendation
inferred← citeshttps://doi.org/10.1109/ictai56018.2022.00025openalex-snapshot
A Novel Efficient Unclick Behavior Modeling Framework for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651428openalex-snapshot
Deep Target Session Interest Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227227openalex-snapshot
IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228316openalex-snapshot
Decision Evaluation Network driven by User Preferences and Dynamic Interests for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/iri58017.2023.00056openalex-snapshot
Sequence Separation-Based Modeling of Denoised Implicit Feedback Behavior
inferred← citeshttps://doi.org/10.1109/ispds58840.2023.10235559openalex-snapshot
Enhancing Customer Service Recommendation: A Hybrid Model Incorporating Factorization Machine with Temporal & Cross Networks and Behavior Sequence Analysis
inferred← citeshttps://doi.org/10.1109/smap63474.2024.00028openalex-snapshot
MMREC: LLM Based Multi-Modal Recommender System
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831112openalex-snapshot
Optimizing Click-Through Rate Prediction: A Model Utilizing Multi-Attention Fusion Hashing Algorithms
inferred← citeshttps://doi.org/10.1109/tcss.2024.3517164openalex-snapshot
Multitask-Based Self-Supervised Learning for Recommendation in Social Systems
inferred← citeshttps://doi.org/10.1109/tcyb.2026.3651813openalex-snapshot
Improving Music Recommendation With Fine-Grained Content-Based Behavior Retrieval
inferred← citeshttps://doi.org/10.1109/tkde.2024.3421594openalex-snapshot
Deep Session Heterogeneity-Aware Network for Click Through Rate Prediction
inferred← citeshttps://doi.org/10.1109/tkde.2024.3486445openalex-snapshot
ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling
inferred← citeshttps://doi.org/10.1109/tkde.2024.3491778openalex-snapshot
Graph Cross-Correlated Network for Recommendation
inferred← citeshttps://doi.org/10.1117/12.3026020openalex-snapshot
Multi-modal similarity fusion for user behavior sequence modeling
inferred← citeshttps://doi.org/10.1137/1.9781611977172.60openalex-snapshot
A Non-sequential Approach to Deep User Interest Model for CTR Prediction
inferred← citeshttps://doi.org/10.1142/s0218194025500494openalex-snapshot
Category-Aware Next Event Prediction Based on Temporal Influence
inferred← citeshttps://doi.org/10.1145/3447548.3467111openalex-snapshot
Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy
inferred← citeshttps://doi.org/10.1145/3447548.3467216openalex-snapshot
Retrieval & Interaction Machine for Tabular Data Prediction
inferred← citeshttps://doi.org/10.1145/3477495.3531788openalex-snapshot
Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3477495.3531829openalex-snapshot
Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3477495.3531988openalex-snapshot
HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3485447.3511939openalex-snapshot
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation
inferred← citeshttps://doi.org/10.1145/3485447.3511953openalex-snapshot
Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads
inferred← citeshttps://doi.org/10.1145/3485447.3511970openalex-snapshot
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation
inferred← citeshttps://doi.org/10.1145/3485447.3512117openalex-snapshot
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data
inferred← citeshttps://doi.org/10.1145/3488560.3498479openalex-snapshot
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling
inferred← citeshttps://doi.org/10.1145/3511808.3557082openalex-snapshot
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3511808.3557098openalex-snapshot
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation
inferred← citeshttps://doi.org/10.1145/3511808.3557106openalex-snapshot
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging
inferred← citeshttps://doi.org/10.1145/3511808.3557336openalex-snapshot
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3511808.3557544openalex-snapshot
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query
inferred← citeshttps://doi.org/10.1145/3511808.3557579openalex-snapshot
Deep Presentation Bias Integrated Framework for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3511808.3557601openalex-snapshot
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3511808.3557624openalex-snapshot
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
inferred← citeshttps://doi.org/10.1145/3511808.3557694openalex-snapshot
See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3523227.3547394openalex-snapshot
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
inferred← citeshttps://doi.org/10.1145/3534678.3539052openalex-snapshot
Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment
inferred← citeshttps://doi.org/10.1145/3534678.3539062openalex-snapshot
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling
inferred← citeshttps://doi.org/10.1145/3534678.3539092openalex-snapshot
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
inferred← citeshttps://doi.org/10.1145/3534678.3539181openalex-snapshot
Device-cloud Collaborative Recommendation via Meta Controller
inferred← citeshttps://doi.org/10.1145/3534678.3539221openalex-snapshot
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3591669openalex-snapshot
DMBIN: A Dual Multi-behavior Interest Network for Click-Through Rate Prediction via Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3539618.3591962openalex-snapshot
CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model
inferred← citeshttps://doi.org/10.1145/3539618.3591967openalex-snapshot
Context-Aware Modeling via Simulated Exposure Page for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3539618.3591980openalex-snapshot
Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking
inferred← citeshttps://doi.org/10.1145/3543507.3583259openalex-snapshot
Two-Stage Constrained Actor-Critic for Short Video Recommendation
inferred← citeshttps://doi.org/10.1145/3543873.3584637openalex-snapshot
Disentangled Causal Embedding With Contrastive Learning For Recommender System
inferred← citeshttps://doi.org/10.1145/3543873.3584661openalex-snapshot
Deep Intention-Aware Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3543873.3584662openalex-snapshot
A Deep Behavior Path Matching Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3580305.3599758openalex-snapshot
A Collaborative Transfer Learning Framework for Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3580305.3599785openalex-snapshot
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop
inferred← citeshttps://doi.org/10.1145/3580305.3599869openalex-snapshot
Multi-factor Sequential Re-ranking with Perception-Aware Diversification
inferred← citeshttps://doi.org/10.1145/3580305.3599884openalex-snapshot
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information
inferred← citeshttps://doi.org/10.1145/3580305.3599918openalex-snapshot
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
inferred← citeshttps://doi.org/10.1145/3580305.3599922openalex-snapshot
TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou
inferred← citeshttps://doi.org/10.1145/3583780.3614707openalex-snapshot
Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3583780.3614837openalex-snapshot
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3614848openalex-snapshot
Diversity-aware Deep Ranking Network for Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3614939openalex-snapshot
IUI: Intent-Enhanced User Interest Modeling for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3583780.3615022openalex-snapshot
Query-dominant User Interest Network for Large-Scale Search Ranking
inferred← citeshttps://doi.org/10.1145/3583780.3615083openalex-snapshot
Timestamps as Prompts for Geography-Aware Location Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3615180openalex-snapshot
Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3583780.3615218openalex-snapshot
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations
inferred← citeshttps://doi.org/10.1145/3583780.3615288openalex-snapshot
Satisfaction-Aware User Interest Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3583780.3615297openalex-snapshot
Tutorial: Data Denoising Metrics in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3583780.3615465openalex-snapshot
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
inferred← citeshttps://doi.org/10.1145/3583780.3615471openalex-snapshot
Dynamic Group Parameter Modeling for Click-Through-Rate Prediction
inferred← citeshttps://doi.org/10.1145/3589334.3645467openalex-snapshot
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
inferred← citeshttps://doi.org/10.1145/3589334.3645517openalex-snapshot
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
inferred← citeshttps://doi.org/10.1145/3589334.3645523openalex-snapshot
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
inferred← citeshttps://doi.org/10.1145/3589334.3645528openalex-snapshot
Recommender Transformers with Behavior Pathways
inferred← citeshttps://doi.org/10.1145/3589334.3645635openalex-snapshot
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
inferred← citeshttps://doi.org/10.1145/3589334.3648144openalex-snapshot
Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform
inferred← citeshttps://doi.org/10.1145/3589335.3648316openalex-snapshot
PRINT: Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search
inferred← citeshttps://doi.org/10.1145/3589335.3648334openalex-snapshot
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai
inferred← citeshttps://doi.org/10.1145/3589335.3648340openalex-snapshot
Temporal Interest Network for User Response Prediction
inferred← citeshttps://doi.org/10.1145/3589335.3651486openalex-snapshot
De-Anchor: Mitigating Attention Polarization for Lifelong User Behavior Modeling in Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3604915.3608779openalex-snapshot
STRec: Sparse Transformer for Sequential Recommendations
inferred← citeshttps://doi.org/10.1145/3604915.3608793openalex-snapshot
Deep Situation-Aware Interaction Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3604915.3608796openalex-snapshot
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation
inferred← citeshttps://doi.org/10.1145/3604915.3608814openalex-snapshot
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3608847openalex-snapshot
Towards Self-Explaining Sequence-Aware Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3609496openalex-snapshot
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances
inferred← citeshttps://doi.org/10.1145/3605356openalex-snapshot
Search-based Time-aware Graph-enhanced Recommendation with Sequential Behavior Data
inferred← citeshttps://doi.org/10.1145/3616855.3635829openalex-snapshot
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
inferred← citeshttps://doi.org/10.1145/3626772.3657777openalex-snapshot
Deep Pattern Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3626772.3661348openalex-snapshot
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3626772.3661369openalex-snapshot
Interest Clock: Time Perception in Real-Time Streaming Recommendation System
inferred← citeshttps://doi.org/10.1145/3627673.3679558openalex-snapshot
Large Language Models Enhanced Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3627673.3679789openalex-snapshot
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
inferred← citeshttps://doi.org/10.1145/3627673.3679842openalex-snapshot
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3627673.3679849openalex-snapshot
Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation
inferred← citeshttps://doi.org/10.1145/3627673.3679913openalex-snapshot
Enhancing Content-based Recommendation via Large Language Model
inferred← citeshttps://doi.org/10.1145/3627673.3679914openalex-snapshot
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework
inferred← citeshttps://doi.org/10.1145/3627673.3680019openalex-snapshot
Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation
inferred← citeshttps://doi.org/10.1145/3627673.3680030openalex-snapshot
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
inferred← citeshttps://doi.org/10.1145/3627673.3680063openalex-snapshot
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search
inferred← citeshttps://doi.org/10.1145/3627673.3680065openalex-snapshot
Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation
inferred← citeshttps://doi.org/10.1145/3627676.3627679openalex-snapshot
SACAT: Student-Adaptive Computerized Adaptive Testing
inferred← citeshttps://doi.org/10.1145/3637528.3671511openalex-snapshot
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion
inferred← citeshttps://doi.org/10.1145/3637528.3671519openalex-snapshot
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation
inferred← citeshttps://doi.org/10.1145/3637528.3671528openalex-snapshot
Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest
inferred← citeshttps://doi.org/10.1145/3637528.3671570openalex-snapshot
A Self-boosted Framework for Calibrated Ranking
inferred← citeshttps://doi.org/10.1145/3637528.3671580openalex-snapshot
Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3637528.3671598openalex-snapshot
Unsupervised Ranking Ensemble Model for Recommendation
inferred← citeshttps://doi.org/10.1145/3637528.3671607openalex-snapshot
Ads Recommendation in a Collapsed and Entangled World
inferred← citeshttps://doi.org/10.1145/3640457.3688030openalex-snapshot
Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models
inferred← citeshttps://doi.org/10.1145/3640457.3688038openalex-snapshot
Entity-Aware Collections Ranking: A Joint Scoring Approach
inferred← citeshttps://doi.org/10.1145/3640457.3688128openalex-snapshot
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
inferred← citeshttps://doi.org/10.1145/3640457.3688134openalex-snapshot
MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3640457.3691710openalex-snapshot
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks
inferred← citeshttps://doi.org/10.1145/3664647.3680615openalex-snapshot
Mitigating Sample Selection Bias with Robust Domain Adaption in Multimedia Recommendation
inferred← citeshttps://doi.org/10.1145/3675417.3675529openalex-snapshot
Click-through rate prediction based on contextual information
inferred← citeshttps://doi.org/10.1145/3678004openalex-snapshot
How Can Recommender Systems Benefit from Large Language Models: A Survey
inferred← citeshttps://doi.org/10.1145/3690624.3709438openalex-snapshot
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
inferred← citeshttps://doi.org/10.1145/3696410.3714753openalex-snapshot
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
inferred← citeshttps://doi.org/10.1145/3696410.3714807openalex-snapshot
Value Function Decomposition in Markov Recommendation Process
inferred← citeshttps://doi.org/10.1145/3701551.3703570openalex-snapshot
UIPN: User Intent Profiling Network for Multi Behavior Modeling in CTR Prediction
inferred← citeshttps://doi.org/10.1145/3701716.3715205openalex-snapshot
A Cold-start Recommendation System at Kuaishou Designed from the Short-video Perspective
inferred← citeshttps://doi.org/10.1145/3701716.3715211openalex-snapshot
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction
inferred← citeshttps://doi.org/10.1145/3701716.3715251openalex-snapshot
NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3701716.3715256openalex-snapshot
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
inferred← citeshttps://doi.org/10.1145/3701716.3715481openalex-snapshot
Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System
inferred← citeshttps://doi.org/10.1145/3701716.3715514openalex-snapshot
Large Memory Network for Recommendation
inferred← citeshttps://doi.org/10.1145/3701716.3715596openalex-snapshot
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
inferred← citeshttps://doi.org/10.1145/3701716.3715872openalex-snapshot
Computational Advertising: Recent Advances
inferred← citeshttps://doi.org/10.1145/3701716.3717544openalex-snapshot
LLM-UM: The 1st Workshop on Large Language Model Using Multi-modal Data for User Modeling
inferred← citeshttps://doi.org/10.1145/3705328.3748045openalex-snapshot
Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3705328.3748046openalex-snapshot
Exploring Scaling Laws of CTR Model for Online Performance Improvement
inferred← citeshttps://doi.org/10.1145/3705328.3748065openalex-snapshot
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
inferred← citeshttps://doi.org/10.1145/3705328.3748073openalex-snapshot
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3705328.3748107openalex-snapshot
User Long-Term Multi-Interest Retrieval Model for Recommendation
inferred← citeshttps://doi.org/10.1145/3709739openalex-snapshot
Federated Heavy Hitter Analytics with Local Differential Privacy
inferred← citeshttps://doi.org/10.1145/3711896.3737199openalex-snapshot
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
inferred← citeshttps://doi.org/10.1145/3711896.3737205openalex-snapshot
ComRecycle: An Intelligent Computation Recycling Framework for Online Advertising
inferred← citeshttps://doi.org/10.1145/3711896.3737209openalex-snapshot
DV365: Extremely Long User History Modeling at Instagram
inferred← citeshttps://doi.org/10.1145/3711896.3737255openalex-snapshot
Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation
inferred← citeshttps://doi.org/10.1145/3711896.3737261openalex-snapshot
Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3726302.3729949openalex-snapshot
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3726302.3729978openalex-snapshot
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3729995openalex-snapshot
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
inferred← citeshttps://doi.org/10.1145/3726302.3730059openalex-snapshot
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
inferred← citeshttps://doi.org/10.1145/3726302.3730105openalex-snapshot
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
inferred← citeshttps://doi.org/10.1145/3726302.3730177openalex-snapshot
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3726302.3730200openalex-snapshot
GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3730207openalex-snapshot
Hierarchical User Long-term Behavior Modeling for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3726302.3730215openalex-snapshot
Interest Changes: Considering User Interest Life Cycle in Recommendation System
inferred← citeshttps://doi.org/10.1145/3726302.3730228openalex-snapshot
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3726302.3731935openalex-snapshot
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao
inferred← citeshttps://doi.org/10.1145/3726302.3731942openalex-snapshot
Post-event Modeling via Causal Optimal Transport for CTR Prediction
inferred← citeshttps://doi.org/10.1145/3726302.3731947openalex-snapshot
GRAIN: Group-Reinforced Adaptive Interaction Network for Cold-Start CTR Prediction in E-commerce Search
inferred← citeshttps://doi.org/10.1145/3746252.3760889openalex-snapshot
Side Information Memory Network: Expanding the Breadth of User Behavior Sequences in Recommendation
inferred← citeshttps://doi.org/10.1145/3746252.3761015openalex-snapshot
MARM: Unlocking the Recommendation Cache Scaling-Law through Memory Augmentation and Scalable Complexity
inferred← citeshttps://doi.org/10.1145/3746252.3761044openalex-snapshot
UniROM: Unifying Online Advertising Ranking as One Model
inferred← citeshttps://doi.org/10.1145/3746252.3761106openalex-snapshot
Twin-Flow Generative Ranking Network for Recommendation
inferred← citeshttps://doi.org/10.1145/3746252.3761294openalex-snapshot
Transformers are Good Clusterers for Lifelong User Behavior Sequence Modeling
inferred← citeshttps://doi.org/10.1145/3746252.3761367openalex-snapshot
Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
inferred← citeshttps://doi.org/10.1145/3746252.3761433openalex-snapshot
TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
showing the first 200 of 264 · page through all 264
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.