Cover Image

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ju, Clark Mingxuan, Neves, Leonardo, Kumar, Bhuvesh, Collins, Liam, Zhao, Tong, Qiu, Yuwei, Dou, Qing, Zhou, Yang, Nizam, Sohail, Ozturk, Rengim, Liu, Yvette, Yang, Sen, Malik, Manish, Shah, Neil
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting Self-attention for Cross-domain Sequential Recommendation
by: Ju, Clark Mingxuan, et al.
Published: (2025)

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
by: Ju, Clark Mingxuan, et al.
Published: (2026)

Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
by: Collins, Liam, et al.
Published: (2025)

Generative Recommendation with Semantic IDs: A Practitioner's Handbook
by: Ju, Clark Mingxuan, et al.
Published: (2025)

Masked Diffusion for Generative Recommendation
by: Shah, Kulin, et al.
Published: (2025)

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
by: Zeng, Hansi, et al.
Published: (2026)

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
by: Liu, Jingzhe, et al.
Published: (2025)

LLM-Enhanced Topical Trend Detection at Snapchat
by: Zhao, Hangqi, et al.
Published: (2026)

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study
by: Fang, Qixiang, et al.
Published: (2023)

AnyUser: Translating Sketched User Intent into Domestic Robots
by: Yang, Songyuan, et al.
Published: (2026)

DeepThink: Aligning Language Models with Domain-Specific User Intents
by: Li, Yang, et al.
Published: (2025)

Respond Beyond Language: A Benchmark for Video Generation in Response to Realistic User Intents
by: Wang, Shuting, et al.
Published: (2025)

Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
by: Ding, Xueying, et al.
Published: (2025)

Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval
by: Sun, Zelong, et al.
Published: (2024)

User Intent Recognition and Satisfaction with Large Language Models: A User Study with ChatGPT
by: Bodonhelyi, Anna, et al.
Published: (2024)

MLPs are Efficient Distilled Generative Recommenders
by: Guo, Zitian, et al.
Published: (2026)

GiGL: Large-Scale Graph Neural Networks at Snapchat
by: Zhao, Tong, et al.
Published: (2025)

IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)

Trust as a Situated User State in Social LLM-Based Chatbots: A Longitudinal Study of Snapchat's My AI
by: Landerberg, Annie, et al.
Published: (2026)

Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
by: Bui, Ngoc, et al.
Published: (2025)

Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
by: Yang, Zhe, et al.
Published: (2024)

Lean Finder: Semantic Search for Mathlib That Understands User Intents
by: Lu, Jialin, et al.
Published: (2025)

Asset and Factor Risk Budgeting: A Balanced Approach
by: Cetingoz, Adil Rengim, et al.
Published: (2023)

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies
by: Shah, Chirag, et al.
Published: (2023)

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation
by: Hou, Yupeng, et al.
Published: (2026)

Contextual Font Recommendations based on User Intent
by: Sharma, Sanat, et al.
Published: (2023)

Understanding the User: An Intent-Based Ranking Dataset
by: Anand, Abhijit, et al.
Published: (2024)

UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity
by: Fu, Yicheng, et al.
Published: (2024)

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
by: Oh, Sejoon, et al.
Published: (2024)

Helping Librarians to Help Their Users.
by: Clark, Daphne
Published: (1978)

On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective
by: Loveland, Donald, et al.
Published: (2025)

Academic Scientists' Reaction to End-User Services: Observations on a Trial Service Giving Access to MEDLINE Using the GRATEFUL MED Software.
by: Tilson, Yvette, et al.
Published: (1994)

Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance
by: Cetingoz, Adil Rengim, et al.
Published: (2025)

Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation
by: Ma, Jianxing, et al.
Published: (2024)

Millennials sex differences on Snapchat perceived privacy
by: Antonietta Rauzzino
Published: (2017)

User Modeling Challenges in Interactive AI Assistant Systems
by: Su, Megan, et al.
Published: (2024)

BloomIntent: Automating Search Evaluation with LLM-Generated Fine-Grained User Intents
by: Choi, Yoonseo, et al.
Published: (2025)

One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs
by: Liu, Jingzhe, et al.
Published: (2024)

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
by: Wu, Xinyi, et al.
Published: (2024)

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access
by: Lu, Jiayi, et al.
Published: (2025)