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Functional matrix factorizations for cold-start recommendation

https://doi.org/10.1145/2009916.2009961
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What this work says

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

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Eigentaste: A Constant Time Collaborative Filtering Algorithm
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Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
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Unifying collaborative and content-based filtering
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Fast maximum margin matrix factorization for collaborative prediction
inferredcites →https://doi.org/10.1145/1390334.1390352openalex-snapshot
Personalized active learning for collaborative filtering
inferredcites →https://doi.org/10.1145/1454008.1454013openalex-snapshot
Tied boltzmann machines for cold start recommendations
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Matchbox
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Learning preferences of new users in recommender systems
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/10.1145/1644873.1644874openalex-snapshot
Factor in the neighbors
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/1871437.1871734openalex-snapshot
On bootstrapping recommender systems
inferredcites →https://doi.org/10.1145/1935826.1935910openalex-snapshot
Adaptive bootstrapping of recommender systems using decision trees
inferredcites →https://doi.org/10.1145/502716.502737openalex-snapshot
Getting to know you
inferredcites →https://doi.org/10.1145/564376.564421openalex-snapshot
Methods and metrics for cold-start recommendations
inferredcites →https://doi.org/10.1145/963770.963774openalex-snapshot
Latent semantic models for collaborative filtering
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A Survey of Collaborative Filtering Techniques
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User‐Involved Preference Elicitation for Product Search and Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1207.4146openalex-snapshot
A Bayesian Approach toward Active Learning for Collaborative Filtering
inferredcites →https://doi.org/10.48550/arxiv.1301.3885openalex-snapshot
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach
inferredcites →https://doi.org/10.48550/arxiv.1301.4606openalex-snapshot
Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003)
inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot
Empirical Analysis of Predictive Algorithms for Collaborative Filtering

What points at this work

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

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Toward Dual Roles of Users in Recommender Systems
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inferred← citeshttps://doi.org/10.1145/2959100.2959107openalex-snapshot
Generating Pseudotransactions for Improving Sparse Matrix Factorization
inferred← citeshttps://doi.org/10.1145/2959100.2959155openalex-snapshot
Joint User Modeling across Aligned Heterogeneous Sites
inferred← citeshttps://doi.org/10.1145/2983323.2983803openalex-snapshot
Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data
inferred← citeshttps://doi.org/10.1145/3015458openalex-snapshot
Version-Aware Rating Prediction for Mobile App Recommendation
inferred← citeshttps://doi.org/10.1145/3017429openalex-snapshot
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts
inferred← citeshttps://doi.org/10.1145/3038912.3052668openalex-snapshot
GB-CENT
inferred← citeshttps://doi.org/10.1145/3072614openalex-snapshot
Yum-Me
inferred← citeshttps://doi.org/10.1145/3097983.3098202openalex-snapshot
On Sampling Strategies for Neural Network-based Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3106426.3106431openalex-snapshot
Addressing the cold user problem for model-based recommender systems
inferred← citeshttps://doi.org/10.1145/3108148openalex-snapshot
Local Representative-Based Matrix Factorization for Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1145/3109761.3109772openalex-snapshot
Tools and techniques for solving cold start recommendation
inferred← citeshttps://doi.org/10.1145/3127325.3128330openalex-snapshot
Bumblebee friendly planting recommendations with citizen science data
inferred← citeshttps://doi.org/10.1145/3127540.3127566openalex-snapshot
Inferring Private Demographics of New Users in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3159652.3159710openalex-snapshot
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce
inferred← citeshttps://doi.org/10.1145/3209978.3210016openalex-snapshot
Streaming Ranking Based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3219819.3220061openalex-snapshot
Active Opinion Maximization in Social Networks
inferred← citeshttps://doi.org/10.1145/3285954openalex-snapshot
Differentiating Regularization Weights -- A Simple Mechanism to Alleviate Cold Start in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3331184.3331244openalex-snapshot
The FacT
inferred← citeshttps://doi.org/10.1145/3331184.3331268openalex-snapshot
Warm Up Cold-start Advertisements
inferred← citeshttps://doi.org/10.1145/3336191.3371805openalex-snapshot
LARA
inferred← citeshttps://doi.org/10.1145/3336191.3371854openalex-snapshot
Knowledge-aware Complementary Product Representation Learning
inferred← citeshttps://doi.org/10.1145/3340531.3412752openalex-snapshot
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
inferred← citeshttps://doi.org/10.1145/3340631.3394849openalex-snapshot
Cohort Modeling Based App Category Usage Prediction
inferred← citeshttps://doi.org/10.1145/3340631.3394875openalex-snapshot
Tackling Cannibalization Problems for Online Advertisement
inferred← citeshttps://doi.org/10.1145/3357384.3357833openalex-snapshot
Learning Compositional, Visual and Relational Representations for CTR Prediction in Sponsored Search
inferred← citeshttps://doi.org/10.1145/3394486.3403258openalex-snapshot
Interactive Path Reasoning on Graph for Conversational Recommendation
inferred← citeshttps://doi.org/10.1145/3397505openalex-snapshot
Improving Collaborative Filtering with Social Influence over Heterogeneous Information Networks
inferred← citeshttps://doi.org/10.1145/3404555.3404644openalex-snapshot
Collaborative Filtering and Leaders' Advice Based Recommendation System for Cold Start Users
inferred← citeshttps://doi.org/10.1145/3404835.3462879openalex-snapshot
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3404835.3462929openalex-snapshot
Privileged Graph Distillation for Cold Start Recommendation
inferred← citeshttps://doi.org/10.1145/3404835.3463033openalex-snapshot
Cluster-Based Bandits: Fast Cold-Start for Recommender System New Users
inferred← citeshttps://doi.org/10.1145/3447786.3456251openalex-snapshot
Tahoe
inferred← citeshttps://doi.org/10.1145/3503161.3549202openalex-snapshot
Compute to Tell the Tale: Goal-Driven Narrative Generation
inferred← citeshttps://doi.org/10.1145/3503624openalex-snapshot
Toward Fair Recommendation in Two-sided Platforms
inferred← citeshttps://doi.org/10.1145/3511808.3557433openalex-snapshot
Rethinking Conversational Recommendations
inferred← citeshttps://doi.org/10.1145/3523227.3546786openalex-snapshot
Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search
inferred← citeshttps://doi.org/10.1145/3580305.3599814openalex-snapshot
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)
inferred← citeshttps://doi.org/10.1145/3604915.3610648openalex-snapshot
Continual Collaborative Filtering Through Gradient Alignment
inferred← citeshttps://doi.org/10.1145/3618002openalex-snapshot
User Cold-Start Learning in Recommender Systems using Monte Carlo Tree Search
inferred← citeshttps://doi.org/10.1145/3696410.3714635openalex-snapshot
Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion
inferred← citeshttps://doi.org/10.1145/3756681.3757043openalex-snapshot
Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations
inferred← citeshttps://doi.org/10.1145/3811919openalex-snapshot
LLM-FSGNN: LLM-Guided Feature-Structure Augmentation Graph Neural Network for Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1155/2014/649596openalex-snapshot
Aggregated Recommendation through Random Forests
inferred← citeshttps://doi.org/10.12733/jics20104701openalex-snapshot
A Random Forest Approach to Model-based Recommendation
inferred← citeshttps://doi.org/10.14264/uql.2017.662openalex-snapshot
Point of interests recommendation in location-based social networks
inferred← citeshttps://doi.org/10.14419/ijet.v7i2.32.15569openalex-snapshot
Accessing E-Commerce Through Social Media: Recommending Cold-Start Product Using Advanced Feature Mapping Method
inferred← citeshttps://doi.org/10.1587/transinf.2016edp7446openalex-snapshot
Zero-Shot Embedding for Unseen Entities in Knowledge Graph
inferred← citeshttps://doi.org/10.1609/icwsm.v13i01.3251openalex-snapshot
Eliciting New Wikipedia Users’ Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start
inferred← citeshttps://doi.org/10.1631/fitee.1400368openalex-snapshot
A microblog recommendation algorithm based on social tagging and a temporal interest evolution model
inferred← citeshttps://doi.org/10.17352/tcsit.000099openalex-snapshot
A Comparative Study of Recommender Systems under Big Data Constraints
inferred← citeshttps://doi.org/10.18297/etd/2744openalex-snapshot
Accurate and justifiable : new algorithms for explainable recommendations.
inferred← citeshttps://doi.org/10.18372/1990-5548.76.17668openalex-snapshot
Recommender Systems Based on Reinforced Learning
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.122openalex-snapshot
Leveraging Similar Users for Personalized Language Modeling with Limited Data
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