{"total":45,"rows":[{"id":"2305.07001","title":"Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach","created":"2023-05-11","cited_by_count":168,"area":null},{"id":"2209.10117","title":"A Comprehensive Survey on Trustworthy Recommender Systems","created":"2022-09-21","cited_by_count":32,"area":null},{"id":"2404.16260","title":"OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search","created":"2024-04-25","cited_by_count":13,"area":null},{"id":"2206.12296","title":"Intelligent Request Strategy Design in Recommender System","created":"2022-06-23","cited_by_count":10,"area":null},{"id":"2302.11052","title":"Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace","created":"2023-02-21","cited_by_count":9,"area":null},{"id":"2406.00247","title":"Large Language Models for Relevance Judgment in Product Search","created":"2024-06-01","cited_by_count":8,"area":null},{"id":"2601.14706","title":"LookBench: A Live and Holistic Open Benchmark for Fashion Image Retrieval","created":"2026-01-21","cited_by_count":7,"area":null},{"id":"2204.08182","title":"Modality-Balanced Embedding for Video Retrieval","created":"2022-04-18","cited_by_count":6,"area":null},{"id":"2210.04170","title":"Multi-Objective Personalized Product Retrieval in Taobao Search","created":"2022-10-09","cited_by_count":6,"area":null},{"id":"2302.08714","title":"Binary Embedding-based Retrieval at Tencent","created":"2023-02-17","cited_by_count":6,"area":null},{"id":"2209.05555","title":"An Embedding-Based Grocery Search Model at Instacart","created":"2022-09-12","cited_by_count":5,"area":null},{"id":"2406.16013","title":"Database-Augmented Query Representation for Information Retrieval","created":"2024-06-23","cited_by_count":5,"area":null},{"id":"2211.02533","title":"A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data","created":"2022-11-04","cited_by_count":4,"area":null},{"id":"2302.00119","title":"Machine Translation Impact in E-commerce Multilingual Search","created":"2023-01-31","cited_by_count":4,"area":null},{"id":"2306.04833","title":"Unified Embedding Based Personalized Retrieval in Etsy Search","created":"2023-06-07","cited_by_count":4,"area":null},{"id":"2506.16444","title":"REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing","created":"2025-06-19","cited_by_count":4,"area":null},{"id":"2507.01066","title":"Embedding-based Retrieval in Multimodal Content Moderation","created":"2025-06-30","cited_by_count":4,"area":null},{"id":"2304.02089","title":"Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search","created":"2023-04-04","cited_by_count":3,"area":null},{"id":"2204.05231","title":"Towards Generalizable Semantic Product Search by Text Similarity Pre-training on Search Click Logs","created":"2022-04-11","cited_by_count":2,"area":null},{"id":"2304.09287","title":"Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search","created":"2023-04-18","cited_by_count":2,"area":null},{"id":"2305.16344","title":"Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs","created":"2023-05-24","cited_by_count":2,"area":null},{"id":"2312.03217","title":"Rethinking E-Commerce Search","created":"2023-12-06","cited_by_count":2,"area":null},{"id":"2501.07365","title":"Multimodal semantic retrieval for product search","created":"2025-01-13","cited_by_count":2,"area":null},{"id":"2302.02908","title":"LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval","created":"2023-02-06","cited_by_count":1,"area":null},{"id":"2402.13435","title":"Learning to Retrieve for Job Matching","created":"2024-02-21","cited_by_count":1,"area":null},{"id":"2410.19349","title":"pEBR: A Probabilistic Approach to Embedding Based Retrieval","created":"2024-10-25","cited_by_count":1,"area":null},{"id":"2601.06873","title":"Applying Embedding-Based Retrieval to Airbnb Search","created":"2026-01-11","cited_by_count":1,"area":null},{"id":"2301.13455","title":"ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search","created":"2023-01-31","cited_by_count":0,"area":null},{"id":"2406.01233","title":"Multi-word Term Embeddings Improve Lexical Product Retrieval","created":"2024-06-03","cited_by_count":0,"area":null},{"id":"2412.20072","title":"Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset","created":"2024-12-28","cited_by_count":0,"area":null},{"id":"2501.14826","title":"Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap","created":"2025-01-21","cited_by_count":0,"area":null},{"id":"2502.06834","title":"A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems","created":"2025-02-05","cited_by_count":0,"area":null},{"id":"2505.21454","title":"Visual Product Graph: Bridging Visual Products And Composite Images For End-to-End Style Recommendations","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2506.19743","title":"NEAR$^2$: A Nested Embedding Approach to Efficient Product Retrieval and Ranking","created":"2025-06-24","cited_by_count":0,"area":null},{"id":"2508.20778","title":"SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval","created":"2025-08-28","cited_by_count":0,"area":null},{"id":"2509.06185","title":"Modeling shopper interest broadness with entropy-driven dialogue policy in the context of arbitrarily large product catalogs","created":"2025-09-07","cited_by_count":0,"area":null},{"id":"2510.20567","title":"Beyond Retrieval-Ranking: A Multi-Agent Cognitive Decision Framework for E-Commerce Search","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2511.05582","title":"Uncertainty Modeling for Multi-Objective RTA Interception with Distillation Acceleration","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2511.15443","title":"CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2602.17654","title":"Mine and Refine: Optimizing Graded Relevance in E-commerce Semantic Search Retrieval","created":"2026-02-19","cited_by_count":0,"area":null},{"id":"2603.06159","title":"Efficient K-generalizable Learned Search","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.15262","title":"Probe-then-Plan: Environment-Aware Planning for Industrial E-commerce Search","created":"2026-03-16","cited_by_count":0,"area":null},{"id":"2609.23646","title":"Beyond Relevance: Structured Semantic Supervision for Product Search with LLM-Augmented Annotations","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2609.31498","title":"Retail Product Search: A Practical Approach at Target","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2610.17673","title":"RALI@iKAT 2026: Retrieval-aware User Profile Denoising via Personalized Conversational Dense Retrieval","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}