On the public citation graph
Designing Multi-Modal Embedding Fusion-Based Recommender
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-63823-8openalex-snapshot
Neural Information Processing
inferredcites →https://doi.org/10.1007/978-3-030-92273-3_28openalex-snapshot
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
inferredcites →https://doi.org/10.1007/978-3-030-92307-5openalex-snapshot
Neural Information Processing
inferredcites →https://doi.org/10.1007/978-3-030-92310-5openalex-snapshot
Neural Information Processing
inferredcites →https://doi.org/10.1007/s11257-018-9209-6openalex-snapshot
Evaluation of session-based recommendation algorithms
inferredcites →https://doi.org/10.1007/s11257-020-09277-1openalex-snapshot
Empirical analysis of session-based recommendation algorithms
inferredcites →https://doi.org/10.1016/j.im.2020.103341openalex-snapshot
Complements and substitutes in online product recommendations: The differential effects on consumers’ willingness to pay
inferredcites →https://doi.org/10.1016/j.jalgor.2003.12.001openalex-snapshot
An improved data stream summary: the count-min sketch and its applications
inferredcites →https://doi.org/10.1109/cvpr.2016.124openalex-snapshot
DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations
inferredcites →https://doi.org/10.1109/cvprw.2019.00047openalex-snapshot
A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval
inferredcites →https://doi.org/10.1109/iccv.2015.382openalex-snapshot
Where to Buy It: Matching Street Clothing Photos in Online Shops
inferredcites →https://doi.org/10.1109/iccv.2019.00316openalex-snapshot
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
inferredcites →https://doi.org/10.1109/icdm.2018.00094openalex-snapshot
Billion-Scale Network Embedding with Iterative Random Projection
inferredcites →https://doi.org/10.1109/tkde.2020.3014302openalex-snapshot
A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction
inferredcites →https://doi.org/10.1109/tpami.2020.3025062openalex-snapshot
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
inferredcites →https://doi.org/10.1109/tsmc.2021.3096065openalex-snapshot
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection
inferredcites →https://doi.org/10.1145/2939672.2939673openalex-snapshot
Collaborative Knowledge Base Embedding for Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959167openalex-snapshot
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331210openalex-snapshot
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules
inferredcites →https://doi.org/10.1145/3331184.3331322openalex-snapshot
Sequence and Time Aware Neighborhood for Session-based Recommendations
inferredcites →https://doi.org/10.1145/3465401openalex-snapshot
A Survey on Session-based Recommender Systems
inferredcites →https://doi.org/10.1287/opre.2018.1813openalex-snapshot
Analysis of Markov Influence Graphs
inferredcites →https://doi.org/10.1609/aaai.v33i01.330194openalex-snapshot
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems
inferredcites →https://doi.org/10.24963/ijcai.2019/529openalex-snapshot
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation
inferredcites →https://doi.org/10.3390/su11123336openalex-snapshot
Session-Based Recommender System for Sustainable Digital Marketing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.apenergy.2021.117775openalex-snapshot
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.02.002openalex-snapshot
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
inferred← citeshttps://doi.org/10.1016/j.jocs.2024.102423openalex-snapshot
Compatible multi-model output fusion for complex systems modeling via set operation-based focus data identification
inferred← citeshttps://doi.org/10.1016/j.rser.2023.114235openalex-snapshot
Multi-sensor data fusion framework for energy optimization in smart homes
inferred← citeshttps://doi.org/10.1063/5.0327265openalex-snapshot
Optimizing multimodal fusion for enhanced next gen E-commerce
inferred← citeshttps://doi.org/10.1109/asiancon55314.2022.9908936openalex-snapshot
AEPRS-EF: Advanaced Eelectricity Plan Recommendation System utilizing Efficient Fuzzy Logic
inferred← citeshttps://doi.org/10.1109/smirc70459.2026.11706676openalex-snapshot
Deep Learning-Based Approaches for Insider Threat Detection in Cybersecurity
inferred← citeshttps://doi.org/10.31673/2412-4338.2022.048489openalex-snapshot
REVIEW OF VECTOR EMBEDDINGS FUSION METHODS
inferred← citeshttps://doi.org/10.3389/fdata.2024.1374980openalex-snapshot
The development and application of a novel E-commerce recommendation system used in electric power B2B sector
inferred← citeshttps://doi.org/10.3390/a16100482openalex-snapshot
SmartBuild RecSys: A Recommendation System Based on the Smart Readiness Indicator for Energy Efficiency in Buildings
inferred← citeshttps://doi.org/10.3390/app14188181openalex-snapshot
Research on Multimodal Prediction of E-Commerce Customer Satisfaction Driven by Big Data
inferred← citeshttps://doi.org/10.3390/electronics11213472openalex-snapshot
Content and Other Resources Recommendations for Individuals with Intellectual Disability: A Review
inferred← citeshttps://doi.org/10.3390/electronics12010033openalex-snapshot
Data Optimization for Industrial IoT-Based Recommendation Systems
inferred← citeshttps://doi.org/10.3390/electronics12173709openalex-snapshot
A Multimodal User-Adaptive Recommender System
inferred← citeshttps://doi.org/10.3390/math11132943openalex-snapshot
Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review
inferred← citeshttps://doi.org/10.36948/ijfmr.2023.v05i03.3111openalex-snapshot
Multi-modal Algorithms as a Promising Approach to Improving Recommendation Accuracy by Leveraging Additional Sources of Information
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