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Collaborative Large Language Model for Recommender Systems


Collaborative Large Language Model for Recommender Systems

Title:Collaborative Large Language Model for Recommender Systems ... Abstract:Recently, there has been growing interest in developing the next- ...

Collaborative Large Language Model for Recommender Systems

We first extend the vocabulary of pretrained LLMs with user/item ID tokens to faithfully model user/item collaborative and content semantics.

Collaborative Large Language Model for Recommender Systems

Recently, there is a growing interest in developing next-generation recommender systems (RSs) based on pretrained large language models ...

Collaborative Large Language Model for Recommender Systems

Information systems → Recommender systems. KEYWORDS. Recommender systems; large language models (LLM). ∗Work done when Yaochen Zhu was an ...

CLLM4Rec: Collaborative Large Language Model for ... - GitHub

The proposed CLLM4Rec is the first recommender system that tightly combines the ID-based paradigm and LLM-based paradigm and leverages the advantages of both ...

[rfp0193] Collaborative Large Language Model for Recommender ...

[rfp0193] Collaborative Large Language Model for Recommender Systems. 281 views · 7 months ago ...more. ACM SIGWEB. 1.02K. Subscribe.

Collaborative Large Language Model for Recommender Systems

Paper link CLLM4Rec is a new generative recommendation system that merges the capabilities of pretrained large language models with ...

Large Language Models meet Collaborative Filtering: An Efficient All ...

We propose an efficient All-round LLM-based Recommender system, called A-LLMRec, that excels in both cold and warm scenarios.

WLiK/LLM4Rec-Awesome-Papers - GitHub

A list of awesome papers and resources of recommender system on large language model (LLM). - WLiK/LLM4Rec-Awesome-Papers.

Collaborative Large Language Model for Recommender Systems

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Collaborative Large Language Model For Recommender Systems

Collaborative-Large-Language-Model-for-Recommender-Systems - Free download as PDF File (.pdf), Text File (.txt) or read online for free. LLM.

Leveraging Large Language Models for Pre-trained Recommender ...

RecSysLLM provides a promising approach to developing unified recommendation systems by fully exploiting the power of pre-trained language models by ...

Language models as recommender systems: Evaluations and ...

Large language models predominate, both as a research subject themselves and ... We are highly motivated, collaborative and fun-loving with an entrepreneurial ...

An Efficient All-round LLM-based Recommender System

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System ... recommender systems (CF-RecSys) ...

Large Language Models for Recommendation: Progresses and ...

Agentcf: Collaborative learning with autonomous language agents for recommender systems. in WWW 2024. Page 80. Agent: AgentCF. ❑ Better performance and less ...

Progresses and Future Direction SIGIR-AP 2023

... Collaborative Filtering Using Large Language Models ... Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems: A ...

LLMs And Collaborative Filtering Combine For Efficient ...

The article discusses the development of an efficient recommender system that combines the strengths of large language models (LLMs) and ...

Exploring the Impact of Large Language Models on Recommender ...

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review ... Collaborative Large Language Model for Recommender Systems · Yaochen ...

Building a Video Recommendation System with Large Language ...

Traditionally, these systems have relied on collaborative ... RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.

Text-like Encoding of Collaborative Information in Large Language ...

Leveraging large language models for sequential recommendation. In Proceedings of the 17th ACM Conference on Recommender Systems, pages 1096– ...