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Enhancing Recommendation Diversity by Re-ranking with Large Language Models

https://doi.org/10.1145/3700604
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44593-5_25openalex-snapshot
Similarity vs. Diversity
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-031-56060-6_24openalex-snapshot
Large Language Models are Zero-Shot Rankers for Recommender Systems
inferredcites →https://doi.org/10.1007/s10462-007-9023-8openalex-snapshot
Enhancing the diversity of conversational collaborative recommendations: a comparison
inferredcites →https://doi.org/10.1007/s11257-019-09235-6openalex-snapshot
Subprofile-aware diversification of recommendations
inferredcites →https://doi.org/10.1016/j.ins.2016.11.015openalex-snapshot
Adaptive multi-attribute diversity for recommender systems
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1390334.1390446openalex-snapshot
Novelty and diversity in information retrieval evaluation
inferredcites →https://doi.org/10.1145/1454008.1454030openalex-snapshot
Avoiding monotony
inferredcites →https://doi.org/10.1145/1498759.1498766openalex-snapshot
Diversifying search results
inferredcites →https://doi.org/10.1145/1852102.1852106openalex-snapshot
A similarity measure for indefinite rankings
inferredcites →https://doi.org/10.1145/1864708.1864723openalex-snapshot
Optimizing multiple objectives in collaborative filtering
inferredcites →https://doi.org/10.1145/1864708.1864726openalex-snapshot
Fast als-based matrix factorization for explicit and implicit feedback datasets
inferredcites →https://doi.org/10.1145/2009916.2010124openalex-snapshot
Intent-oriented diversity in recommender systems
inferredcites →https://doi.org/10.1145/2043932.2043955openalex-snapshot
Rank and relevance in novelty and diversity metrics for recommender systems
inferredcites →https://doi.org/10.1145/2348283.2348297openalex-snapshot
Explicit relevance models in intent-oriented information retrieval diversification
inferredcites →https://doi.org/10.1145/2348283.2348310openalex-snapshot
Adaptive diversification of recommendation results via latent factor portfolio
inferredcites →https://doi.org/10.1145/2365952.2365962openalex-snapshot
Pareto-efficient hybridization for multi-objective recommender systems
inferredcites →https://doi.org/10.1145/2507157.2507207openalex-snapshot
Set-oriented personalized ranking for diversified top-n recommendation
inferredcites →https://doi.org/10.1145/2507157.2507226openalex-snapshot
Personalised ranking with diversity
inferredcites →https://doi.org/10.1145/2645710.2645737openalex-snapshot
User perception of differences in recommender algorithms
inferredcites →https://doi.org/10.1145/2645710.2645743openalex-snapshot
Coverage, redundancy and size-awareness in genre diversity for recommender systems
inferredcites →https://doi.org/10.1145/290941.291025openalex-snapshot
The use of MMR, diversity-based reranking for reordering documents and producing summaries
inferredcites →https://doi.org/10.1145/2926720openalex-snapshot
Diversity, Serendipity, Novelty, and Coverage
inferredcites →https://doi.org/10.1145/3269206.3272018openalex-snapshot
Practical Diversified Recommendations on YouTube with Determinantal Point Processes
inferredcites →https://doi.org/10.1145/3404835.3462939openalex-snapshot
ReXPlug: Explainable Recommendation using Plug-and-Play Language Model
inferredcites →https://doi.org/10.1145/3447548.3467149openalex-snapshot
Pre-trained Language Model for Web-scale Retrieval in Baidu Search
inferredcites →https://doi.org/10.1145/3523227.3546767openalex-snapshot
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
inferredcites →https://doi.org/10.1145/3534678.3539381openalex-snapshot
Towards Universal Sequence Representation Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3543507.3583434openalex-snapshot
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
inferredcites →https://doi.org/10.1145/3560815openalex-snapshot
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
inferredcites →https://doi.org/10.1145/3571730openalex-snapshot
Survey of Hallucination in Natural Language Generation
inferredcites →https://doi.org/10.1145/3580305.3599921openalex-snapshot
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
inferredcites →https://doi.org/10.1145/3580488openalex-snapshot
Personalized Prompt Learning for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3594633openalex-snapshot
Quotation Recommendation for Multi-party Online Conversations Based on Semantic and Topic Fusion
inferredcites →https://doi.org/10.1145/3604915.3608829openalex-snapshot
Large Language Model Augmented Narrative Driven Recommendations
inferredcites →https://doi.org/10.1145/3604915.3608857openalex-snapshot
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation
inferredcites →https://doi.org/10.1145/3604915.3608889openalex-snapshot
Retrieval-augmented Recommender System: Enhancing Recommender Systems with Large Language Models
inferredcites →https://doi.org/10.1145/3605943openalex-snapshot
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey
inferredcites →https://doi.org/10.1609/aaai.v37i9.26255openalex-snapshot
A Survey on Model Compression and Acceleration for Pretrained Language Models
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.923openalex-snapshot
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.850openalex-snapshot
Evaluating Large Language Models for Health-related Queries with Presuppositions
inferredcites →https://doi.org/10.52202/075280-3320openalex-snapshot
On the Planning Abilities of Large Language Models - A Critical Investigation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Quality‐Diversity Methods for the Modern Data Scientist
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Efficient Personalized Reranking with Semi-autoregressive Generation and Online Knowledge Distillation
inferred← citeshttps://doi.org/10.1007/978-981-92-2852-2_33openalex-snapshot
DT-CC: Digital Twin-Driven Knowledge Engineering for Classical Chinese Historical Document
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Robust Orbital Game Policy in Multiple Disturbed Environments: An Approach Based on Causality Diversity Maximal Marginal Relevance Algorithm
inferred← citeshttps://doi.org/10.1007/s10579-026-09938-4openalex-snapshot
Hallucinations in generative artificial intelligence and large language models: tests, datasets, detection and correction methods
inferred← citeshttps://doi.org/10.1007/s10844-025-01013-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s43546-026-01229-yopenalex-snapshot
Shaping algorithmic visibility through unplanned communication: recommendation systems, customer segmentation, andethical drift in digital marketplaces
inferred← citeshttps://doi.org/10.1007/s44163-026-02409-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cag.2025.104377openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.100912openalex-snapshot
Recommender systems and sustainability: a dual perspective
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134333openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107443openalex-snapshot
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins
inferred← citeshttps://doi.org/10.1080/0020174x.2025.2515579openalex-snapshot
The moral case for using language model agents for recommendation
inferred← citeshttps://doi.org/10.1109/access.2025.3637140openalex-snapshot
Toward Diversified Graph Recommendation via Semantic and Topology Augmentation With LLMs
inferred← citeshttps://doi.org/10.1109/acdsa65407.2025.11166535openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315409openalex-snapshot
Efficient Graph-Transformer-based Neural Collaborative Filtering for Candidate Preselection
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11401642openalex-snapshot
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
inferred← citeshttps://doi.org/10.1109/cec65147.2025.11043032openalex-snapshot
A Many-objective Hybrid Recommendation Algorithm Based on User Grouping
inferred← citeshttps://doi.org/10.1109/tits.2025.3564389openalex-snapshot
EV Charging System Considering Power Dispatching Based on Multi-Agent LLMs and CGAN
inferred← citeshttps://doi.org/10.1145/3671004openalex-snapshot
Utility-Oriented Reranking with Counterfactual Context
inferred← citeshttps://doi.org/10.1145/3696413openalex-snapshot
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
inferred← citeshttps://doi.org/10.1145/3698204.3716466openalex-snapshot
Exploring the Zero-Shot Known-Item Retrieval Capabilities of LLMs for Casual Leisure Information Needs
inferred← citeshttps://doi.org/10.1145/3705328.3748072openalex-snapshot
Prompt-to-Slate: Diffusion Models for Prompt-Conditioned Slate Generation
inferred← citeshttps://doi.org/10.1145/3706599.3706682openalex-snapshot
Multi-Prompting Scenario-based Movie Recommendation with Large Language Models: Real User Case Study
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Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs
inferred← citeshttps://doi.org/10.1145/3721299openalex-snapshot
Introduction to the Special Issue on Large Language Models for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3726871openalex-snapshot
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
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How Personal Characteristics Influence the Use of Multi-Agent Conversational Recommender Systems for Diverse Exploration
inferred← citeshttps://doi.org/10.1145/3805712.3809534openalex-snapshot
Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibration and Personalized Preview Nudges
inferred← citeshttps://doi.org/10.1145/3805712.3809850openalex-snapshot
CRED: Calibrated Relational Enhanced Distillation for LLM-Based Pointwise Reranking
inferred← citeshttps://doi.org/10.1145/3837081openalex-snapshot
Hierarchical Dual Debiasing in LLM-based Recommendation
inferred← citeshttps://doi.org/10.20965/jaciii.2024.p1263openalex-snapshot
Can Large Language Models Assess Serendipity in Recommender Systems?
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Comparative Analysis of Single and Multiagent Large Language Model Architectures for Domain-Specific Tasks in Well Construction
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Recommender Systems in Health Professions Education: Protocol for a Scoping Review
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Predicting Apartment Price Indices through Real Estate News Analysis: A Retrieval Augmented Generation-Large Language Model (RAG-LLM) Approach
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Uma Abordagem Híbrida para Sistemas de Recomendação com Base em Avaliações Textuais e Filtragem Colaborativa
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