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Turning Clicks into Purchases
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/3-540-49430-8openalex-snapshot
Neural Networks: Tricks of the Trade
inferredcites →https://doi.org/10.1007/s10791-009-9112-1openalex-snapshot
Adapting boosting for information retrieval measures
inferredcites →https://doi.org/10.1007/s10791-009-9123-yopenalex-snapshot
LETOR: A benchmark collection for research on learning to rank for information retrieval
inferredcites →https://doi.org/10.1109/mis.2017.58openalex-snapshot
Computational Advertising: A Paradigm Shift for Advertising and Marketing?
inferredcites →https://doi.org/10.1137/1.9781611975321.80openalex-snapshot
Toward Relational Learning with Misinformation
inferredcites →https://doi.org/10.1145/1076034.1076063openalex-snapshot
Accurately interpreting clickthrough data as implicit feedback
inferredcites →https://doi.org/10.1145/1102351.1102363openalex-snapshot
Learning to rank using gradient descent
inferredcites →https://doi.org/10.1145/1390334.1390355openalex-snapshot
Directly optimizing evaluation measures in learning to rank
inferredcites →https://doi.org/10.1145/1390334.1390404openalex-snapshot
Optimizing relevance and revenue in ad search
inferredcites →https://doi.org/10.1145/1571941.1572042openalex-snapshot
Optimizing search engine revenue in sponsored search
inferredcites →https://doi.org/10.1145/1592748.1592756openalex-snapshot
Revenue optimization with relevance constraint in sponsored search
inferredcites →https://doi.org/10.1145/1835449.1835676openalex-snapshot
Learning to rank for information retrieval
inferredcites →https://doi.org/10.1145/1963405.1963453openalex-snapshot
Towards a theory model for product search
inferredcites →https://doi.org/10.1145/2124295.2124333openalex-snapshot
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising
inferredcites →https://doi.org/10.1145/2396761.2398671openalex-snapshot
Enhancing product search by best-selling prediction in e-commerce
inferredcites →https://doi.org/10.1145/2505515.2505664openalex-snapshot
Facet selection algorithms for web product search
inferredcites →https://doi.org/10.1145/2556195.2556215openalex-snapshot
Latent dirichlet allocation based diversified retrieval for e-commerce search
inferredcites →https://doi.org/10.1145/2623330.2623633openalex-snapshot
Optimal real-time bidding for display advertising
inferredcites →https://doi.org/10.1145/2835776.2835782openalex-snapshot
Relational Learning with Social Status Analysis
inferredcites →https://doi.org/10.1145/2893486openalex-snapshot
Measuring and Predicting Search Engine Users’ Satisfaction
inferredcites →https://doi.org/10.1145/2911451.2911537openalex-snapshot
Learning to Rank with Selection Bias in Personal Search
inferredcites →https://doi.org/10.1145/2939672.2939677openalex-snapshot
Ranking Relevance in Yahoo Search
inferredcites →https://doi.org/10.1145/2983323.2983702openalex-snapshot
Learning Latent Vector Spaces for Product Search
inferredcites →https://doi.org/10.1145/3077136.3080838openalex-snapshot
On Application of Learning to Rank for E-Commerce Search
inferredcites →https://doi.org/10.1145/3124749.3124751openalex-snapshot
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions
inferredcites →https://doi.org/10.1145/3124749.3124758openalex-snapshot
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy
inferredcites →https://doi.org/10.1145/3130332.3130334openalex-snapshot
Accurately Interpreting Clickthrough Data as Implicit Feedback
inferredcites →https://doi.org/10.1145/3130348.3130374openalex-snapshot
IR evaluation methods for retrieving highly relevant documents
inferredcites →https://doi.org/10.1145/345508.345545openalex-snapshot
IR evaluation methods for retrieving highly relevant documents
inferredcites →https://doi.org/10.1207/153276603768344762openalex-snapshot
Buying, Searching, or Browsing: Differentiating Between Online Shoppers Using In-Store Navigational Clickstream
inferredcites →https://doi.org/10.1214/aoms/1177729694openalex-snapshot
On Information and Sufficiency
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.14778/2556549.2556562openalex-snapshot
Supporting keyword search in product database
inferredcites →https://doi.org/10.1561/1500000016openalex-snapshot
Learning to Rank for Information Retrieval
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4625354openalex-extracted
Impact of Keywords in Product Title on Product Sales Conversion
inferred← citeshttps://doi.org/10.1007/978-3-030-33698-1_4openalex-snapshot
Simplifying E-Commerce Analytics by Discovering Hidden Knowledge in Big Data Clickstreams
inferred← citeshttps://doi.org/10.1007/978-3-030-94016-4_3openalex-snapshot
Knowing When You Don’t Know in Online Fashion: An Uncertainty-Aware Size Recommendation Framework
inferred← citeshttps://doi.org/10.1007/978-3-031-64451-1_8openalex-snapshot
Event Recommendation Through Language-Specific User Behaviour in Clickstreams
inferred← citeshttps://doi.org/10.1007/978-3-032-16358-5_6openalex-snapshot
Profit Aware Ad Ranking with Relevance Constraint
inferred← citeshttps://doi.org/10.1007/978-981-97-5618-6_23openalex-snapshot
Globally Informed Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1007/s00500-022-07433-wopenalex-snapshot
Context-aware ranking refinement with attentive semi-supervised autoencoders
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113096openalex-snapshot
Quaternary converter based balanced graph contrastive learning for recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102289openalex-snapshot
“Fixing the curse of the bad product descriptions” – Search-boosted tag recommendation for E-commerce products
inferred← citeshttps://doi.org/10.1016/j.is.2025.102625openalex-snapshot
Robust Graph Contrastive Learning for recommender systems: Addressing data sparsity and noise
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.03.068openalex-snapshot
Incorporating query constraints for autoencoder enhanced ranking
inferred← citeshttps://doi.org/10.1016/j.websem.2022.100759openalex-snapshot
LaSER: Language-specific event recommendation
inferred← citeshttps://doi.org/10.1080/10548408.2023.2263764openalex-snapshot
Examining cultural differences in Airbnb naming convention and user reception: an eye-tracking study
inferred← citeshttps://doi.org/10.1109/access.2020.3034716openalex-snapshot
A Novel Many-Objective Recommendation Algorithm for Multistakeholders
inferred← citeshttps://doi.org/10.1109/access.2021.3049793openalex-snapshot
Corpulyzer: A Novel Framework for Building Low Resource Language Corpora
inferred← citeshttps://doi.org/10.1109/access.2025.3596549openalex-snapshot
NeGLU: Negation-Aware Sparse Retrieval With Negative Weights for Product Search
inferred← citeshttps://doi.org/10.1109/asonam.2018.8508353openalex-snapshot
Clickstream Analytics: An Experimental Analysis of the Amazon Users' Simulated Monthly Traffic
inferred← citeshttps://doi.org/10.1109/icde51399.2021.00281openalex-snapshot
Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00070openalex-snapshot
When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning
inferred← citeshttps://doi.org/10.1109/icws62655.2024.00053openalex-snapshot
DiffGCL: Diffusion model-based Graph Contrastive Learning for Service Recommendation
inferred← citeshttps://doi.org/10.1109/isctech63666.2024.10845326openalex-snapshot
ComGCL: Comprehensive Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2021.3098898openalex-snapshot
AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online
inferred← citeshttps://doi.org/10.1109/tkde.2022.3175094openalex-snapshot
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
inferred← citeshttps://doi.org/10.1109/tkde.2023.3297331openalex-snapshot
Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3204775openalex-snapshot
Multi-Behavior Graph Neural Networks for Recommender System
inferred← citeshttps://doi.org/10.1145/3292500.3330790openalex-snapshot
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
inferred← citeshttps://doi.org/10.1145/3298689.3346998openalex-snapshot
A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation
inferred← citeshttps://doi.org/10.1145/3298689.3347000openalex-snapshot
Personalized re-ranking for recommendation
inferred← citeshttps://doi.org/10.1145/3308560.3316603openalex-snapshot
Neural Product Retrieval at Walmart.com
inferred← citeshttps://doi.org/10.1145/3308560.3320087openalex-snapshot
Tutorial on Online User Engagement: Metrics and Optimization
inferred← citeshttps://doi.org/10.1145/3336191.3371780openalex-snapshot
Why Do People Buy Seemingly Irrelevant Items in Voice Product Search?
inferred← citeshttps://doi.org/10.1145/3336191.3371852openalex-snapshot
Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms
inferred← citeshttps://doi.org/10.1145/3340531.3411936openalex-snapshot
Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search
inferred← citeshttps://doi.org/10.1145/3340531.3412713openalex-snapshot
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space
inferred← citeshttps://doi.org/10.1145/3357384.3357939openalex-snapshot
Conversational Product Search Based on Negative Feedback
inferred← citeshttps://doi.org/10.1145/3357384.3358095openalex-snapshot
A Study of Context Dependencies in Multi-page Product Search
inferred← citeshttps://doi.org/10.1145/3361738openalex-snapshot
Explainable Product Search with a Dynamic Relation Embedding Model
inferred← citeshttps://doi.org/10.1145/3366423.3380122openalex-snapshot
Multi-Objective Ranking Optimization for Product Search Using Stochastic Label Aggregation
inferred← citeshttps://doi.org/10.1145/3383313.3412262openalex-snapshot
Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions
inferred← citeshttps://doi.org/10.1145/3394486.3403336openalex-snapshot
Debiasing Grid-based Product Search in E-commerce
inferred← citeshttps://doi.org/10.1145/3394486.3403359openalex-snapshot
Multitask Mixture of Sequential Experts for User Activity Streams
inferred← citeshttps://doi.org/10.1145/3397271.3401140openalex-snapshot
Evolutionary Product Description Generation
inferred← citeshttps://doi.org/10.1145/3397271.3401423openalex-snapshot
Modeling User Behavior for Vertical Search: Images, Apps and Products
inferred← citeshttps://doi.org/10.1145/3397271.3401444openalex-snapshot
How Airbnb Tells You Will Enjoy Sunset Sailing in Barcelona? Recommendation in a Two-Sided Travel Marketplace
inferred← citeshttps://doi.org/10.1145/3404835.3462911openalex-snapshot
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search
inferred← citeshttps://doi.org/10.1145/3404835.3462917openalex-snapshot
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation
inferred← citeshttps://doi.org/10.1145/3442381.3449913openalex-snapshot
An Adversarial Imitation Click Model for Information Retrieval
inferred← citeshttps://doi.org/10.1145/3458553.3458565openalex-snapshot
Neural generative models and representation learning for information retrieval
inferred← citeshttps://doi.org/10.1145/3460231.3474621openalex-snapshot
AIR: Personalized Product Recommender System for Nike's Digital Transformation
inferred← citeshttps://doi.org/10.1145/3464303openalex-snapshot
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank
inferred← citeshttps://doi.org/10.1145/3473337openalex-snapshot
Personalized, Sequential, Attentive, Metric-Aware Product Search
inferred← citeshttps://doi.org/10.1145/3485447.3511954openalex-snapshot
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search
inferred← citeshttps://doi.org/10.1145/3487664.3487779openalex-snapshot
Learning to Rank-based Approach for Movie Search by Keyword Query and Example Query
inferred← citeshttps://doi.org/10.1145/3534678.3542632openalex-snapshot
Deep Search Relevance Ranking in Practice
inferred← citeshttps://doi.org/10.1145/3539618.3591833openalex-snapshot
Long-Form Information Retrieval for Enterprise Matchmaking
inferred← citeshttps://doi.org/10.1145/3539618.3591865openalex-snapshot
How Well do Offline Metrics Predict Online Performance of Product Ranking Models?
inferred← citeshttps://doi.org/10.1145/3555371openalex-snapshot
Learning to Ask: Conversational Product Search via Representation Learning
inferred← citeshttps://doi.org/10.1145/3580305.3599768openalex-snapshot
Adaptive Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1145/3580305.3599892openalex-snapshot
RankFormer: Listwise Learning-to-Rank Using Listwide Labels
inferred← citeshttps://doi.org/10.1145/3583780.3614760openalex-snapshot
A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation
inferred← citeshttps://doi.org/10.1145/3589334.3645379openalex-snapshot
Adversarial-Enhanced Causal Multi-Task Framework for Debiasing Post-Click Conversion Rate Estimation
inferred← citeshttps://doi.org/10.1145/3627673.3679636openalex-snapshot
Decoupled Behavior-based Contrastive Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688101openalex-snapshot
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688136openalex-snapshot
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
inferred← citeshttps://doi.org/10.1145/3696410.3714731openalex-snapshot
Ranking Items by the Current-Preferences and Profits: A List-wise Learning-to-Rank Approach to Profit Maximization
inferred← citeshttps://doi.org/10.1145/3701716.3717859openalex-snapshot
GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries
inferred← citeshttps://doi.org/10.1145/3715275.3732169openalex-snapshot
Understanding Gender Bias in AI-Generated Product Descriptions
inferred← citeshttps://doi.org/10.1145/3726302.3730278openalex-snapshot
PSCon: Product Search Through Conversations
inferred← citeshttps://doi.org/10.1145/3746252.3761496openalex-snapshot
MOHPER: Multi-objective Hyperparameter Optimization Framework for E-commerce Retrieval System
inferred← citeshttps://doi.org/10.1145/3770855.3818158openalex-snapshot
Causality-Based Conformal Imputation Correction with Non-Random Missing Labels
inferred← citeshttps://doi.org/10.1527/tjsai.36-1_wi2-copenalex-snapshot
Prediction of Online Purchasing Behavior of Cameras UsingWeb Search Logs
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-industry.8openalex-snapshot
Machine translation impact in E-commerce multilingual search
inferred← citeshttps://doi.org/10.3390/bdcc5030035openalex-snapshot
Deep Neural Network and Boosting Based Hybrid Quality Ranking for e-Commerce Product Search
inferred← citeshttps://doi.org/10.4018/joeuc.349732openalex-snapshot
End-to-End Modeling and Long Short-Term Memory Application in Time Series Modeling
inferred← citeshttps://doi.org/10.48550/arxiv.1909.02065openalex-snapshot
Leverage Implicit Feedback for Context-aware Product Search
inferred← citeshttps://doi.org/10.48550/arxiv.2009.00497openalex-snapshot
From Clicks to Conversions: Recommendation for long-term reward
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