Jyonn / ONCELinks
(WSDM 2024) Official implementation of the paper "ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models"
☆87Updated 5 months ago
Alternatives and similar repositories for ONCE
Users that are interested in ONCE are comparing it to the libraries listed below
Sorting:
- ☆59Updated last year
- Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".☆51Updated last year
- ☆253Updated last year
- the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”☆170Updated last year
- Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"☆98Updated 8 months ago
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆192Updated last year
- Towards LLM-RecSys Alignment with Textual ID Learning☆52Updated 11 months ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆64Updated last year
- [ECIR'24] Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"☆293Updated 2 months ago
- Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"☆140Updated 2 years ago
- ☆62Updated 11 months ago
- All code necessary for reproducing the "Improving Sequential Recommendation with LLMs" and "Leveraging Large Language Models for Sequenti…☆102Updated last year
- About The official GitHub page for ''Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models'' R…☆52Updated last year
- ☆140Updated last year
- End-to-end Training for Multimodal Recommendation Systems☆152Updated 6 months ago
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆118Updated last year
- [ICDE'24] Code of "Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation."☆140Updated 10 months ago
- The implementation for the work "CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation".☆108Updated 9 months ago
- CIKM'23, Prompt Distillation for Efficient LLM-based Recommendation☆45Updated 6 months ago
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆130Updated 6 months ago
- ☆50Updated last year
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆79Updated 2 years ago
- The latest paper list of large language model (LLM) for recommendation☆57Updated last year
- How to Index Item IDs for Recommendation Foundation Models☆81Updated last month
- Large Language Model for Generative Recommendation☆72Updated last year
- Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System☆95Updated 9 months ago
- Evaluation data, LLMs query code and results for "Large Language Models as Zero-Shot Conversational Recommenders" on CIKM 2023.☆78Updated last year
- A Large-scale Multimodal Dataset for recommender System☆152Updated 4 months ago
- [ACL 2024] RDRec: Rationale Distillation for LLM-based Recommendation☆33Updated 2 months ago
- The official implementation for Sequential Recommendation with Latent Relations based on Large Language Model☆38Updated last year