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Uncovering the information core in recommender systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-642-13287-2openalex-snapshot
Music Recommendation and Discovery
inferredcites →https://doi.org/10.1016/j.eswa.2012.12.006openalex-snapshot
A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion
inferredcites →https://doi.org/10.1016/j.physa.2006.04.121openalex-snapshot
Exploring an opinion network for taste prediction: An empirical study
inferredcites →https://doi.org/10.1016/j.physa.2010.11.027openalex-snapshot
Link prediction in complex networks: A survey
inferredcites →https://doi.org/10.1016/s0169-7552(98)00110-xopenalex-snapshot
The anatomy of a large-scale hypertextual Web search engine
inferredcites →https://doi.org/10.1017/cbo9780511809071openalex-snapshot
Introduction to Information Retrieval
inferredcites →https://doi.org/10.1073/pnas.1000488107openalex-snapshot
Solving the apparent diversity-accuracy dilemma of recommender systems
inferredcites →https://doi.org/10.1103/physreve.72.066107openalex-snapshot
Uncovering collective listening habits and music genres in bipartite networks
inferredcites →https://doi.org/10.1103/physreve.76.046115openalex-snapshot
Bipartite network projection and personal recommendation
inferredcites →https://doi.org/10.1103/physreve.83.066119openalex-snapshot
Information filtering via preferential diffusion
inferredcites →https://doi.org/10.1103/physreve.84.037101openalex-snapshot
Information filtering via biased heat conduction
inferredcites →https://doi.org/10.1103/physrevlett.99.154301openalex-snapshot
Heat Conduction Process on Community Networks as a Recommendation Model
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1145/1298306.1298311openalex-snapshot
Measurement and analysis of online social networks
inferredcites →https://doi.org/10.1145/1864708.1864736openalex-snapshot
A matrix factorization technique with trust propagation for recommendation in social networks
inferredcites →https://doi.org/10.1145/2124295.2124365openalex-snapshot
Exploring social influence via posterior effect of word-of-mouth recommendations
inferredcites →https://doi.org/10.1145/2187836.2187840openalex-snapshot
An exploration of improving collaborative recommender systems via user-item subgroups
inferredcites →https://doi.org/10.1145/2339530.2339730openalex-snapshot
Cross-domain collaboration recommendation
inferredcites →https://doi.org/10.1145/2348283.2348372openalex-snapshot
Collaborative personalized tweet recommendation
inferredcites →https://doi.org/10.1145/2480362.2480415openalex-snapshot
Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendations
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1209/0295-5075/100/58005openalex-snapshot
Improving information filtering via network manipulation
inferredcites →https://doi.org/10.1209/0295-5075/80/68003openalex-snapshot
Recommendation model based on opinion diffusion
inferredcites →https://doi.org/10.1209/0295-5075/89/18001openalex-snapshot
Link prediction in weighted networks: The role of weak ties
inferredcites →https://doi.org/10.1209/0295-5075/90/48006openalex-snapshot
Empirical analysis of web-based user-object bipartite networks
inferredcites →https://doi.org/10.1209/0295-5075/94/48002openalex-snapshot
A robust ranking algorithm to spamming
inferredcites →https://doi.org/10.1209/0295-5075/97/18005openalex-snapshot
The reinforcing influence of recommendations on global diversification
inferredcites →https://doi.org/10.1287/mnsc.1060.0619openalex-snapshot
Analyzing Consumer-Product Graphs: Empirical Findings and Applications in Recommender Systems
inferredcites →https://doi.org/10.1371/journal.pone.0079354openalex-snapshot
Information Filtering in Sparse Online Systems: Recommendation via Semi-Local Diffusion
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
Introduction to information retrieval
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10115-018-1198-6openalex-snapshot
Preference modeling by exploiting latent components of ratings
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.108355openalex-snapshot
Virtual information core optimization for collaborative filtering recommendation based on clustering and evolutionary algorithms
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.04.001openalex-snapshot
The recommender canvas: A model for developing and documenting recommender system design
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.113149openalex-snapshot
Combining novelty and popularity on personalised recommendations via user profile learning
inferred← citeshttps://doi.org/10.1016/j.physa.2015.10.068openalex-snapshot
Personalized recommendation based on heat bidirectional transfer
inferred← citeshttps://doi.org/10.1016/j.physa.2016.11.076openalex-snapshot
Improving the recommender algorithms with the detected communities in bipartite networks
inferred← citeshttps://doi.org/10.1016/j.physa.2017.04.131openalex-snapshot
Coarse cluster enhancing collaborative recommendation for social network systems
inferred← citeshttps://doi.org/10.1016/j.physa.2018.05.065openalex-snapshot
Symmetrical information filtering via punishing superfluous diffusion
inferred← citeshttps://doi.org/10.1016/j.physa.2019.01.054openalex-snapshot
A new recommender algorithm on signed networks
inferred← citeshttps://doi.org/10.1016/j.physleta.2015.09.019openalex-snapshot
The effect of heterogeneous dynamics of online users on information filtering
inferred← citeshttps://doi.org/10.1016/j.physleta.2016.06.009openalex-snapshot
A generalized model via random walks for information filtering
inferred← citeshttps://doi.org/10.1016/j.physrep.2018.05.002openalex-snapshot
Structure-oriented prediction in complex networks
inferred← citeshttps://doi.org/10.1016/j.pmcj.2016.08.010openalex-snapshot
A personalized recommender system for pervasive social networks
inferred← citeshttps://doi.org/10.1038/s41598-025-94256-yopenalex-snapshot
Group attention for collaborative filtering with sequential feedback and context aware attributes
inferred← citeshttps://doi.org/10.1038/srep34292openalex-snapshot
Uncovering the essential links in online commercial networks
inferred← citeshttps://doi.org/10.1038/srep45908openalex-snapshot
Linear filtering reveals false negatives in species interaction data
inferred← citeshttps://doi.org/10.1039/c6mb00274aopenalex-snapshot
Discovering potential cancer driver genes by an integrated network-based approach
inferred← citeshttps://doi.org/10.1109/access.2018.2866880openalex-snapshot
Extracting the Information Backbone Based On Personalized Time Window
inferred← citeshttps://doi.org/10.1109/access.2019.2946262openalex-snapshot
Unbalanced Multistage Heat Conduction and Mass Diffusion Algorithm in an Educational Digital Library
inferred← citeshttps://doi.org/10.1109/access.2020.2984365openalex-snapshot
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts
inferred← citeshttps://doi.org/10.1109/access.2020.3031281openalex-snapshot
A Hybrid Model Based on LFM and BiGRU Toward Research Paper Recommendation
inferred← citeshttps://doi.org/10.1109/cbd.2015.38openalex-snapshot
Information Filtering Based on Personalized Topology Information
inferred← citeshttps://doi.org/10.1109/ccdc.2016.7531392openalex-snapshot
Improving on recommend speed of recommender systems by using expert users
inferred← citeshttps://doi.org/10.1109/cec.2017.7969435openalex-snapshot
Information core optimization using Evolutionary Algorithm with Elite Population in recommender systems
inferred← citeshttps://doi.org/10.1109/cec.2019.8790235openalex-snapshot
Extracting Information Cores with Multi-property Using a Multiobjective Evolutionary Algorithm
inferred← citeshttps://doi.org/10.1109/cscwd.2018.8465230openalex-snapshot
Recommendation Algorithm Based on Multi-Label Clustering and Core Users
inferred← citeshttps://doi.org/10.1109/fskd.2017.8393314openalex-snapshot
A recommendation algorithm based on density peak clustering and key users
inferred← citeshttps://doi.org/10.1109/iccsa54496.2021.00036openalex-snapshot
Factors facilitating socio-cognitive-affective engagements and playfulness among Malaysian seniors: A case study towards link recommender design
inferred← citeshttps://doi.org/10.1109/icws.2016.44openalex-snapshot
Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System
inferred← citeshttps://doi.org/10.1109/r10-htc49770.2020.9356957openalex-snapshot
Optimizing learning in associative networks and gamification: Lessons learnt and implications
inferred← citeshttps://doi.org/10.1142/s0217979219501297openalex-snapshot
Information filtering based on eliminating redundant diffusion and compensating balance
inferred← citeshttps://doi.org/10.1142/s0219622015500194openalex-snapshot
Modeling Tag-Aware Recommendations Based on User Preferences
inferred← citeshttps://doi.org/10.11606/d.3.2020.tde-28022020-111422openalex-snapshot
Combinando novidade e popularidade em recomendações personalizadas através do aprendizado do perfil do usuário.
inferred← citeshttps://doi.org/10.1371/journal.pone.0113457openalex-snapshot
Promoting Cold-Start Items in Recommender Systems
inferred← citeshttps://doi.org/10.1371/journal.pone.0181402openalex-snapshot
Information filtering based on corrected redundancy-eliminating mass diffusion
inferred← citeshttps://doi.org/10.14257/ijunesst.2016.9.3.04openalex-snapshot
Constructing the Core User Set for Collaborative Recommendation Based on Samples Selection Idea
inferred← citeshttps://doi.org/10.14778/3749646.3749687openalex-snapshot
Practical and Accurate Local Edge Differentially Private Graph Algorithms
inferred← citeshttps://doi.org/10.3389/fphy.2022.1018781openalex-snapshot
Structural centrality of networks can improve the diffusion-based recommendation algorithm
inferred← citeshttps://doi.org/10.3390/math8071106openalex-snapshot
Design and Comparative Analysis of New Personalized Recommender Algorithms with Specific Features for Large Scale Datasets
inferred← citeshttps://doi.org/10.3990/1.9789036550079openalex-snapshot
Industrial symbiosis recommender systems
inferred← citeshttps://doi.org/10.4018/ijwsr.2017040101openalex-snapshot
Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems
inferred← citeshttps://doi.org/10.4172/2157-7560.1000318openalex-snapshot
Cross-Sectoral Perspectives of Market Implementation of the MVA Platform for Influenza Vaccines: Regulatory, Industry and Academia
inferred← citeshttps://doi.org/10.48550/arxiv.1512.08325openalex-snapshot
A Fast Recommendation Algorithm for Social Tagging Systems : A Delicious Case
inferred← citeshttps://doi.org/10.48550/arxiv.2102.03674openalex-snapshot
Generating Artificial Core Users for Interpretable Condensed Data
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The Impact of Netflix’s AI Powered Recommendation System on Consumers’ Behavioral Intentions
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