Extracting Document Relations from Search Corpus by Marginalizing over User Queries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Iwamoto, Yuki, Tsunoda, Kaoru, Kaneiwa, Ken
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion
by: Iwamoto, Yuki, et al.
Published: (2024)

Hierarchical Query Classification in E-commerce Search
by: He, Bing, et al.
Published: (2024)

Improving Sequential Query Recommendation with Immediate User Feedback
by: Parambath, Shameem A Puthiya, et al.
Published: (2022)

Intent-Aware Neural Query Reformulation for Behavior-Aligned Product Search
by: Yetukuri, Jayanth, et al.
Published: (2025)

Enhancing Mobile "How-to" Queries with Automated Search Results Verification and Reranking
by: Ding, Lei, et al.
Published: (2024)

Search Intenion Network for Personalized Query Auto-Completion in E-Commerce
by: Bao, Wei, et al.
Published: (2024)

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
by: Bruch, Sebastian, et al.
Published: (2024)

Contextual Multilingual Spellchecker for User Queries
by: Sharma, Sanat, et al.
Published: (2023)

Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systems
by: Liu, Ping, et al.
Published: (2025)

Ontology-Guided Query Expansion for Biomedical Document Retrieval using Large Language Models
by: Nazi, Zabir Al, et al.
Published: (2025)

Content Moderation in TV Search: Balancing Policy Compliance, Relevance, and User Experience
by: Hande, Adeep, et al.
Published: (2025)

Efficient Vector Search in the Wild: One Model for Multi-K Queries
by: Peng, Yifan, et al.
Published: (2026)

RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine
by: Choi, Nayoung, et al.
Published: (2024)

Query Brand Entity Linking in E-Commerce Search
by: Liu, Dong, et al.
Published: (2025)

MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling
by: Wu, Bin, et al.
Published: (2025)

Taxonomy and Analysis of Sensitive User Queries in Generative AI Search
by: Jo, Hwiyeol, et al.
Published: (2024)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
by: Wang, Yuening, et al.
Published: (2024)

Generating Query-Relevant Document Summaries via Reinforcement Learning
by: Yadav, Nitin, et al.
Published: (2025)

Multi-Margin Cosine Loss: Proposal and Application in Recommender Systems
by: Ozsoy, Makbule Gulcin
Published: (2024)

Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
by: Dahiya, Kunal, et al.
Published: (2024)

PluriHopRAG: Exhaustive, Recall-Sensitive QA Through Corpus-Specific Document Structure Learning
by: Sveistrys, Mykolas, et al.
Published: (2025)

LLM-PQA: LLM-enhanced Prediction Query Answering
by: Li, Ziyu, et al.
Published: (2024)

Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap
by: Mallapragada, Srivatsa, et al.
Published: (2025)

OpenExtract: Automated Data Extraction for Systematic Reviews in Health
by: Achterberg, Jim, et al.
Published: (2026)

From Prompting to Alignment: A Generative Framework for Query Recommendation
by: Min, Erxue, et al.
Published: (2025)

MatPROV: A Provenance Graph Dataset of Material Synthesis Extracted from Scientific Literature
by: Tsuruta, Hirofumi, et al.
Published: (2025)

Semantic In-Domain Product Identification for Search Queries
by: Sharma, Sanat, et al.
Published: (2024)

The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
by: Feng, Xincan, et al.
Published: (2026)

VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search
by: Zhang, Xiao, et al.
Published: (2025)

Revisiting Bi-Encoder Neural Search: An Encoding--Searching Separation Perspective
by: Tran, Hung-Nghiep, et al.
Published: (2024)

Efficient and Effective Query Context-Aware Learning-to-Rank Model for Sequential Recommendation
by: Dzhoha, Andrii, et al.
Published: (2025)

Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
by: Goswami, Dipam, et al.
Published: (2025)

Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds
by: Villemaud, Oscar, et al.
Published: (2025)

SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity
by: Yang, Chuang, et al.
Published: (2024)

Generalized User Representations for Transfer Learning
by: Fazelnia, Ghazal, et al.
Published: (2024)

Bootstrapping Conditional Retrieval for User-to-Item Recommendations
by: Lin, Hongtao, et al.
Published: (2025)

Temporal Interest Network for User Response Prediction
by: Zhou, Haolin, et al.
Published: (2023)

Uncertainty-Calibrated Recommendations for Low-Active Users
by: Zou, Bob Junyi, et al.
Published: (2026)

Compressing Search with Language Models
by: Mulc, Thomas, et al.
Published: (2024)

QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval
by: Kandula, Hemanth, et al.
Published: (2024)