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Local Variational Feature-Based Similarity Models for Recommending Top- N New Items

https://doi.org/10.1145/3372154
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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-44566-8_25openalex-snapshot
A User Model Based on Content Analysis for the Intelligent Personalization of a News Service
inferredcites →https://doi.org/10.1007/978-3-642-38844-6_1openalex-snapshot
Opinion-Driven Matrix Factorization for Rating Prediction
inferredcites →https://doi.org/10.1007/s10791-017-9295-9openalex-snapshot
Neural Semantic Personalized Ranking for item cold-start recommendation
inferredcites →https://doi.org/10.1007/s11257-015-9155-5openalex-snapshot
Recommender systems based on user reviews: the state of the art
inferredcites →https://doi.org/10.1016/j.eswa.2015.04.071openalex-snapshot
Improving matrix factorization recommendations for examples in cold start
inferredcites →https://doi.org/10.1109/icde.2019.00140openalex-snapshot
Neural Multi-task Recommendation from Multi-behavior Data
inferredcites →https://doi.org/10.1109/icdm.2005.14openalex-snapshot
A Scalable Collaborative Filtering Framework Based on Co-Clustering
inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/icdm.2010.129openalex-snapshot
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot
SLIM: Sparse Linear Methods for Top-N Recommender Systems
inferredcites →https://doi.org/10.1109/tip.2017.2655449openalex-snapshot
Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval
inferredcites →https://doi.org/10.1109/tkde.2015.2508816openalex-snapshot
Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information
inferredcites →https://doi.org/10.1109/tkde.2016.2522422openalex-snapshot
Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach
inferredcites →https://doi.org/10.1137/1.9781611972825.35openalex-snapshot
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
inferredcites →https://doi.org/10.1137/1.9781611974010.22openalex-snapshot
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation
inferredcites →https://doi.org/10.1145/1102351openalex-snapshot
Proceedings of the 22nd international conference on Machine learning - ICML '05
inferredcites →https://doi.org/10.1145/1277741.1277752openalex-snapshot
Efficient bayesian hierarchical user modeling for recommendation system
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1557019.1557029openalex-snapshot
Regression-based latent factor models
inferredcites →https://doi.org/10.1145/1639714.1639720openalex-snapshot
Pairwise preference regression for cold-start recommendation
inferredcites →https://doi.org/10.1145/1864708.1864721openalex-snapshot
Performance of recommender algorithms on top-n recommendation tasks
inferredcites →https://doi.org/10.1145/1961209.1961212openalex-snapshot
Improving Recommender Systems by Incorporating Social Contextual Information
inferredcites →https://doi.org/10.1145/1995966.1995976openalex-snapshot
Personalised rating prediction for new users using latent factor models
inferredcites →https://doi.org/10.1145/2043932.2043940openalex-snapshot
Generalizing matrix factorization through flexible regression priors
inferredcites →https://doi.org/10.1145/2043932.2043943openalex-snapshot
Wisdom of the better few
inferredcites →https://doi.org/10.1145/2187836.2187840openalex-snapshot
An exploration of improving collaborative recommender systems via user-item subgroups
inferredcites →https://doi.org/10.1145/2487575.2487589openalex-snapshot
FISM
inferredcites →https://doi.org/10.1145/2488388.2488520openalex-snapshot
Localized matrix factorization for recommendation based on matrix block diagonal forms
inferredcites →https://doi.org/10.1145/2566486.2567970openalex-snapshot
Local collaborative ranking
inferredcites →https://doi.org/10.1145/2600428.2609579openalex-snapshot
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
inferredcites →https://doi.org/10.1145/2623330.2623351openalex-snapshot
We know what you want to buy
inferredcites →https://doi.org/10.1145/2629461openalex-snapshot
LCARS
inferredcites →https://doi.org/10.1145/2641564openalex-snapshot
Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation
inferredcites →https://doi.org/10.1145/2645710.2645726openalex-snapshot
Cold-start news recommendation with domain-dependent browse graph
inferredcites →https://doi.org/10.1145/2645710.2645751openalex-snapshot
Item cold-start recommendations
inferredcites →https://doi.org/10.1145/2647868.2654940openalex-snapshot
Improving Content-based and Hybrid Music Recommendation using Deep Learning
inferredcites →https://doi.org/10.1145/2700495openalex-snapshot
User-Specific Feature-Based Similarity Models for Top- n Recommendation of New Items
inferredcites →https://doi.org/10.1145/2736277openalex-snapshot
Proceedings of the 24th International Conference on World Wide Web - WWW '15
inferredcites →https://doi.org/10.1145/2766462.2767716openalex-snapshot
Effective Latent Models for Binary Feedback in Recommender Systems
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2792838.2800196openalex-snapshot
Cold-Start Item and User Recommendation with Decoupled Completion and Transduction
inferredcites →https://doi.org/10.1145/2806416.2806527openalex-snapshot
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder
inferredcites →https://doi.org/10.1145/2835776.2835836openalex-snapshot
CCCF
inferredcites →https://doi.org/10.1145/2873055openalex-snapshot
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1145/2911451.2911549openalex-snapshot
Learning to Rank Features for Recommendation over Multiple Categories
inferredcites →https://doi.org/10.1145/2959100.2959156openalex-snapshot
Addressing Cold Start for Next-song Recommendation
inferredcites →https://doi.org/10.1145/2959100.2959185openalex-snapshot
Local Item-Item Models For Top-N Recommendation
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3077136.3080769openalex-snapshot
Multi-site User Behavior Modeling and Its Application in Video Recommendation
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3097983.3098077openalex-snapshot
Collaborative Variational Autoencoder for Recommender Systems
inferredcites →https://doi.org/10.1145/3097983.3098170openalex-snapshot
Aspect Based Recommendations
inferredcites →https://doi.org/10.1145/3108148openalex-snapshot
Local Representative-Based Matrix Factorization for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3178876openalex-snapshot
Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
inferredcites →https://doi.org/10.1145/3219819.3220112openalex-snapshot
Local Latent Space Models for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3231933openalex-snapshot
Personalized Context-Aware Point of Interest Recommendation
inferredcites →https://doi.org/10.1145/3309546openalex-snapshot
Attentive Aspect Modeling for Review-Aware Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331192openalex-snapshot
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
inferredcites →https://doi.org/10.5555/1756006.1953039openalex-snapshot
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-60029-7_26openalex-snapshot
N2One: Identifying Coreference Object Among User Generated Content with Siamese Network
inferred← citeshttps://doi.org/10.1007/978-981-16-1160-5_15openalex-snapshot
Fake News Detection Using Knowledge Vector
inferred← citeshttps://doi.org/10.1007/s00778-021-00700-6openalex-snapshot
Fast-adapting and privacy-preserving federated recommender system
inferred← citeshttps://doi.org/10.1007/s10489-022-03162-7openalex-snapshot
Inferring context with reliable collaborators: a novel similarity estimation method for recommender systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106910openalex-snapshot
A fuzzy matrix factor recommendation method with forgetting function and user features
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114764openalex-snapshot
The matching scarcity problem: When recommenders do not connect the edges in recruitment services
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Promoting smart tourism personalised services via a combination of deep learning techniques
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FGCR: Fused graph context-aware recommender system
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A parametric similarity method: Comparative experiments based on semantically annotated large datasets
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Addressing cold start in recommender systems with neural networks: a literature survey
inferred← citeshttps://doi.org/10.1088/1742-6596/1616/1/012032openalex-snapshot
Collaborative Filtering Recommendation Algorithm Based on User Characteristics and User Interests
inferred← citeshttps://doi.org/10.1109/tmm.2025.3623558openalex-snapshot
A Plug-and-Play Model-Agnostic Embedding Enhancement Approach for Explainable Recommendation
inferred← citeshttps://doi.org/10.1109/tsc.2023.3237638openalex-snapshot
Cold-Start Next-Item Recommendation by User-Item Matching and Auto-Encoders
inferred← citeshttps://doi.org/10.1109/tsc.2023.3334241openalex-snapshot
Feature Matching Machine for Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1111/exsy.12647openalex-snapshot
Deep learning techniques for recommender systems based on collaborative filtering
inferred← citeshttps://doi.org/10.1145/3404835.3462824openalex-snapshot
Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations
inferred← citeshttps://doi.org/10.1145/3411754openalex-snapshot
Block-Aware Item Similarity Models for Top- N Recommendation
inferred← citeshttps://doi.org/10.1145/3442381.3450038openalex-snapshot
Leveraging Review Properties for Effective Recommendation
inferred← citeshttps://doi.org/10.1145/3453183openalex-snapshot
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots
inferred← citeshttps://doi.org/10.1145/3462244.3479928openalex-snapshot
Multimodal User Satisfaction Recognition for Non-task Oriented Dialogue Systems
inferred← citeshttps://doi.org/10.1145/3466641openalex-snapshot
Multi-Graph Heterogeneous Interaction Fusion for Social Recommendation
inferred← citeshttps://doi.org/10.1145/3470565openalex-snapshot
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model
inferred← citeshttps://doi.org/10.1145/3472955openalex-snapshot
Dynamic Structural Role Node Embedding for User Modeling in Evolving Networks
inferred← citeshttps://doi.org/10.1145/3474085.3475568openalex-snapshot
Text is NOT Enough
inferred← citeshttps://doi.org/10.1145/3544105openalex-snapshot
Adversarial Auto-encoder Domain Adaptation for Cold-start Recommendation with Positive and Negative Hypergraphs
inferred← citeshttps://doi.org/10.1145/3611385openalex-snapshot
SLED: Structure Learning based Denoising for Recommendation
inferred← citeshttps://doi.org/10.1145/3663364openalex-snapshot
A Survey on Variational Autoencoders in Recommender Systems
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