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Influence of Rating Prediction on Group Recommendation's Accuracy

https://doi.org/10.1109/mis.2016.100

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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot

Introduction to Recommender Systems Handbook

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_2openalex-snapshot

Data Mining Methods for Recommender Systems

inferredcites →https://doi.org/10.1007/978-3-540-72079-9_20openalex-snapshot

Recommendation to Groups

inferredcites →https://doi.org/10.1007/978-3-540-72079-9_9openalex-snapshot

Collaborative Filtering Recommender Systems

inferredcites →https://doi.org/10.1007/978-3-642-16089-9_1openalex-snapshot

State-of-the-Art in Group Recommendation and New Approaches for Automatic Identification of Groups

inferredcites →https://doi.org/10.1007/bf02294206openalex-snapshot

Synthesized Clustering: A method for Amalgamating Alternative Clustering Bases with Differential Weighting of Variables

inferredcites →https://doi.org/10.1007/s10044-014-0411-9openalex-snapshot

Techniques for dealing with incomplete data: a tutorial and survey

inferredcites →https://doi.org/10.1007/s10844-014-0346-zopenalex-snapshot

The rating prediction task in a group recommender system that automatically detects groups: architectures, algorithms, and performance evaluation

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tpami.2002.1017616openalex-snapshot

An efficient k-means clustering algorithm: analysis and implementation

inferredcites →https://doi.org/10.1145/1363686.1363903openalex-snapshot

Imputation-boosted collaborative filtering using machine learning classifiers

inferredcites →https://doi.org/10.1145/2611040.2611073openalex-snapshot

Modeling the Preferences of a Group of Users Detected by Clustering

inferredcites →https://doi.org/10.1145/2659480.2659496openalex-snapshot

Utilizing Purchase Intervals in Latent Clusters for Product Recommendation

inferredcites →https://doi.org/10.1145/276304.276314openalex-snapshot

Automatic subspace clustering of high dimensional data for data mining applications

inferredcites →https://doi.org/10.1515/9781400874668openalex-snapshot

Adaptive Control Processes

inferredcites →https://doi.org/10.2307/2343225openalex-snapshot

Adaptive Control Processes: A Guided Tour.

inferredcites →https://doi.org/10.5220/0004865005640572openalex-snapshot

Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System

inferredcites →https://doi.org/10.5555/1756006.1953015openalex-snapshot

Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-12981-1_8openalex-snapshot

Recommending More Suitable Music Based on Users’ Real Context

inferred← citeshttps://doi.org/10.1007/978-3-030-49778-1_19openalex-snapshot

A MAS-Based Approach for POI Group Recommendation in LBSN

inferred← citeshttps://doi.org/10.1007/978-3-030-52485-2_10openalex-snapshot

A Novel Similarity Measure for Group Recommender Systems with Optimal Time Complexity

inferred← citeshttps://doi.org/10.1007/978-3-032-21321-1_50openalex-snapshot

GREAT: A Group Recommendation Evaluation and Analysis Tool

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.asoc.2021.107631openalex-snapshot

Group article recommendation based on ER rule in Scientific Social Networks

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114709openalex-snapshot

Novel automatic group identification approaches for group recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2018.11.013openalex-snapshot

Group recommender systems: A multi-agent solution

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.106740openalex-snapshot

AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions

inferred← citeshttps://doi.org/10.1109/icccbda.2017.7951929openalex-snapshot

Research on group POIs recommendation fusion of users' gregariousness and activity in LBSN

inferred← citeshttps://doi.org/10.1109/itnec48623.2020.9085011openalex-snapshot

Self-attention-based Group Recommendation

inferred← citeshttps://doi.org/10.1142/s0219649218500193openalex-snapshot

Hybrid Group Recommendation Using Modified Termite Colony Algorithm: A Context Towards Big Data

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