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Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-94289-6_20openalex-snapshot
BIS: Bidirectional Item Similarity for Next-Item Recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2016.12.010openalex-snapshot
Mixed similarity learning for recommendation with implicit feedback
inferredcites →https://doi.org/10.1109/icdm.2002.1184025openalex-snapshot
Using sequential and non-sequential patterns in predictive Web usage mining tasks
inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm.2016.0030openalex-snapshot
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
inferredcites →https://doi.org/10.1109/mis.2016.19openalex-snapshot
Transfer Learning for Heterogeneous One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/tbdata.2016.2541160openalex-snapshot
Personalized Travel Sequence Recommendation on Multi-Source Big Social Media
inferredcites →https://doi.org/10.1109/tkde.2015.2432811openalex-snapshot
Social Recommendation with Cross-Domain Transferable Knowledge
inferredcites →https://doi.org/10.1145/1099554.1099689openalex-snapshot
Time weight collaborative filtering
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2766462.2767694openalex-snapshot
Learning Hierarchical Representation Model for NextBasket Recommendation
inferredcites →https://doi.org/10.1145/2911451.2914683openalex-snapshot
A Dynamic Recurrent Model for Next Basket Recommendation
inferredcites →https://doi.org/10.1145/3017429openalex-snapshot
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3079628.3079670openalex-snapshot
Long and Short-Term Recommendations with Recurrent Neural Networks
inferredcites →https://doi.org/10.1145/3108148openalex-snapshot
Local Representative-Based Matrix Factorization for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3109859.3109877openalex-snapshot
Sequential User-based Recurrent Neural Network Recommendations
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3159652.3159668openalex-snapshot
Sequential Recommendation with User Memory Networks
inferredcites →https://doi.org/10.1145/3219819.3220014openalex-snapshot
Learning from History and Present
inferredcites →https://doi.org/10.1145/3243652openalex-snapshot
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1145/3269206.3271710openalex-snapshot
Attention-based Adaptive Model to Unify Warm and Cold Starts Recommendation
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015709openalex-snapshot
Multi-Order Attentive Ranking Model for Sequential Recommendation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/int.22612openalex-snapshot
A hybrid intelligent service recommendation by latent semantics and explicit ratings
inferred← citeshttps://doi.org/10.1007/978-3-031-36272-9_36openalex-snapshot
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network
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/10.1007/s11257-022-09351-wopenalex-snapshot
Intra-list similarity and human diversity perceptions of recommendations: the details matter
inferred← citeshttps://doi.org/10.1007/s11432-020-3274-6openalex-snapshot
LECF: recommendation via learnable edge collaborative filtering
inferred← citeshttps://doi.org/10.1007/s42979-023-02166-5openalex-snapshot
A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2022.11.064openalex-snapshot
Collaborative filtering with sequential implicit feedback via learning users’ preferences over item-sets
inferred← citeshttps://doi.org/10.1016/j.ins.2023.03.018openalex-snapshot
Generalized temporal similarity-based nonnegative tensor decomposition for modeling transition matrix of dynamic collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102384openalex-snapshot
Preliminary data-based matrix factorization approach for recommendation
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.12.002openalex-snapshot
A federated collaborative recommendation model for privacy-preserving distributed recommender applications based on microservice framework
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109441openalex-snapshot
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892267openalex-snapshot
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3468920.3468931openalex-snapshot
Collaborative Filtering Based on Clustering and Simulated Annealing
inferred← citeshttps://doi.org/10.1145/3473972openalex-snapshot
Learning a Hierarchical Intent Model for Next-Item Recommendation
inferred← citeshttps://doi.org/10.1145/3511019openalex-snapshot
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation
inferred← citeshttps://doi.org/10.1145/3530012openalex-snapshot
perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games
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