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Bibliographic Details
Main Authors:	Long, Mabiao, Liu, Jiaxi, Li, Yufeng, Xiong, Hao, Yan, Junchi, Wang, Kefan, Cao, Yi, Ding, Jiandong
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Machine Learning
Online Access:	https://arxiv.org/abs/2512.13120
Tags:	Add Tag No Tags, Be the first to tag this record!

Graph Neural Patching for Cold-Start Recommendations
by: Chen, Hao, et al.
Published: (2024)

ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data
by: Wang, Hao
Published: (2021)

Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation
by: He, Hulingxiao, et al.
Published: (2024)

Large Language Model Simulator for Cold-Start Recommendation
by: Huang, Feiran, et al.
Published: (2024)

Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
by: Kieu, Hai-Dang, et al.
Published: (2024)

LLM is Knowledge Graph Reasoner: LLM's Intuition-aware Knowledge Graph Reasoning for Cold-start Sequential Recommendation
by: Sakurai, Keigo, et al.
Published: (2024)

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
by: Shi, Yuxiang, et al.
Published: (2022)

Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)

Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation
by: Sang, Lei, et al.
Published: (2024)

Leveraging Knowledge Graph Embedding for Effective Conversational Recommendation
by: Xia, Yunwen, et al.
Published: (2024)

Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems
by: Cao, Yuwei, et al.
Published: (2024)

Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators
by: Zhang, Hengyu, et al.
Published: (2024)

Graph Reasoning for Explainable Cold Start Recommendation
by: Frej, Jibril, et al.
Published: (2024)

Multi-modal Adaptive Mixture of Experts for Cold-start Recommendation
by: Nguyen, Van-Khang, et al.
Published: (2025)

VM-Rec: A Variational Mapping Approach for Cold-start User Recommendation
by: Zheng, Linan, et al.
Published: (2023)

Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
by: Wu, Xuansheng, et al.
Published: (2023)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
by: Lemdiasova, Ekaterina, et al.
Published: (2026)

Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
by: Chen, Zerui, et al.
Published: (2026)

Towards Large-scale Generative Ranking
by: Huang, Yanhua, et al.
Published: (2025)

Adaptive Candidate Retrieval with Dynamic Knowledge Graph Construction for Cold-Start Recommendation
by: Yang, Wooseong, et al.
Published: (2025)

General Item Representation Learning for Cold-start Content Recommendations
by: Kim, Jooeun, et al.
Published: (2024)

MDiffFR: Modality-Guided Diffusion Generation for Cold-start Items in Federated Recommendation
by: Fu, Kang, et al.
Published: (2025)

LEMUR: Large scale End-to-end MUltimodal Recommendation
by: Han, Xintian, et al.
Published: (2025)

Towards Multi-Behavior Multi-Task Recommendation via Behavior-informed Graph Embedding Learning
by: Lai, Wenhao, et al.
Published: (2026)

Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)

Scaling New Frontiers: Insights into Large Recommendation Models
by: Guo, Wei, et al.
Published: (2024)

Graph-based Recommendation for Sparse and Heterogeneous User Interactions
by: Bruun, Simone Borg, et al.
Published: (2023)

Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
by: Sang, Lei, et al.
Published: (2025)

Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
by: Long, Junfeng, et al.
Published: (2024)

Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating
by: Jeon, Hyunsik, et al.
Published: (2023)

Rethinking Purity and Diversity in Multi-Behavior Sequential Recommendation from the Frequency Perspective
by: Han, Yongqiang, et al.
Published: (2025)

Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
by: Zhao, Yushang, et al.
Published: (2025)

A Universal Framework for Compressing Embeddings in CTR Prediction
by: Wang, Kefan, et al.
Published: (2025)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
by: Luo, Yucong, et al.
Published: (2024)

Are Large Language Models Really Effective for Training-Free Cold-Start Recommendation?
by: Kusano, Genki, et al.
Published: (2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

TIMBRE: Efficient Job Recommendation On Heterogeneous Graphs For Professional Recruiters
by: Behar, Eric, et al.
Published: (2024)

Heterogeneous Hypergraph Embedding for Recommendation Systems
by: Sakong, Darnbi, et al.
Published: (2024)

Graph Neural Network for Product Recommendation on the Amazon Co-purchase Graph
by: Cao, Mengyang, et al.
Published: (2025)

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// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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