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Unifying collaborative and content-based filtering

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What this work says

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

inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50048-7openalex-snapshot

NewsWeeder: Learning to Filter Netnews

inferredcites →https://doi.org/10.1145/138859.138867openalex-snapshot

Using collaborative filtering to weave an information tapestry

inferredcites →https://doi.org/10.1145/192844.192905openalex-snapshot

GroupLens

inferredcites →https://doi.org/10.1145/223904.223931openalex-snapshot

Social information filtering

inferredcites →https://doi.org/10.1145/245108.245124openalex-snapshot

Fab

inferredcites →https://doi.org/10.1145/289444.289509openalex-snapshot

Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system

inferredcites →https://doi.org/10.1145/336597.336662openalex-snapshot

Content-based book recommending using learning for text categorization

inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot

Item-based collaborative filtering recommendation algorithms

inferredcites →https://doi.org/10.48550/arxiv.1301.7363openalex-snapshot

Empirical Analysis of Predictive Algorithms for Collaborative Filtering

inferredcites →https://doi.org/10.5555/777092.777124openalex-snapshot

Content-boosted collaborative filtering for improved recommendations

inferredcites →https://doi.org/10.7551/mitpress/1120.003.0087openalex-snapshot

Pranking with Ranking

inferredcites →https://doi.org/10.7551/mitpress/4175.001.0001openalex-snapshot

Learning with Kernels

What points at this work

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

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Automatic Optimization of Web Recommendations Using Feedback and Ontology Graphs

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Evaluation of Attribute-Aware Recommender System Algorithms on Data with Varying Characteristics

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Attribute-aware Collaborative Filtering

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Empirical Analysis of Attribute-Aware Recommendation Algorithms with Variable Synthetic Data

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Sensitivity of Attributes on the Performance of Attribute-Aware Collaborative Filtering

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Collaborative Machine Learning

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On Pairwise Kernels: An Efficient Alternative and Generalization Analysis

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Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction

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Collaborative Preference Learning

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Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs

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Hybrid Filtering-Based Personalized Recommender System for Revitalization of Jeju Water Industry

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A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com

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Twin Bridge Transfer Learning for Sparse Collaborative Filtering

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Socially Enabled Preference Learning from Implicit Feedback Data

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Phase 4: Verhaltenssteuerung

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Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels

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A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction

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Introduction

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Joint Content- and Social-Based User Preference Mining

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Density-Based Mining Algorithms for Dynamic Data: An Incremental Approach

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Ontology Guided Sparse Tensor Factorization for joint recommendation with hierarchical relationships

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Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

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Preference Relation-based Markov Random Fields for Recommender Systems

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Dyad ranking using Plackett–Luce models based on joint feature representations

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Aspect Based Neural Recommender Using Adaptive Prediction

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A Review of Methods Using Large Language Models in News Recommendation Systems

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Multi-Aspect Rating Inference with Aspect-Based Segmentation

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Coupled Topic Model for Collaborative Filtering With User-Generated Content

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Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain

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Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach

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Joint Social and Content Recommendation for User-Generated Videos in Online Social Network

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Social-Aware Video Recommendation for Online Social Groups

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Predictive Approach for User Long-Term Needs in Content-Based Image Suggestion

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Latent Feature Kernels for Link Prediction on Sparse Graphs

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inferred← citeshttps://doi.org/10.1111/coin.12003openalex-snapshot

A UNIFIED FRAMEWORK OF TARGETED MARKETING USING CUSTOMER PREFERENCES

inferred← citeshttps://doi.org/10.1137/1.9781611972795.94openalex-snapshot

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction

inferred← citeshttps://doi.org/10.1137/1.9781611972801.18openalex-snapshot

Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs

inferred← citeshttps://doi.org/10.1142/9789812799524_0016openalex-snapshot

Hybrid Recommendation based on Fuzzy Clustering and Data Filling

inferred← citeshttps://doi.org/10.1145/1076034.1076062openalex-snapshot

Combining eye movements and collaborative filtering for proactive information retrieval

inferred← citeshttps://doi.org/10.1145/1143844.1143981openalex-snapshot

Collaborative ordinal regression

inferred← citeshttps://doi.org/10.1145/1185448.1185487openalex-snapshot

Support vector machines for collaborative filtering

inferred← citeshttps://doi.org/10.1145/1277741.1277751openalex-snapshot

Effective missing data prediction for collaborative filtering

inferred← citeshttps://doi.org/10.1145/1281192.1281252openalex-snapshot

Applying collaborative filtering techniques to movie search for better ranking and browsing

inferred← citeshttps://doi.org/10.1145/1297231.1297274openalex-snapshot

Elicitation of profile attributes by transparent communication

inferred← citeshttps://doi.org/10.1145/1363686.1364171openalex-snapshot

Tag-aware recommender systems by fusion of collaborative filtering algorithms

inferred← citeshttps://doi.org/10.1145/1453794.1453799openalex-snapshot

A Wiki that knows where it is being used

inferred← citeshttps://doi.org/10.1145/1639714.1639719openalex-snapshot

A spatio-temporal approach to collaborative filtering

inferred← citeshttps://doi.org/10.1145/1639714.1639731openalex-snapshot

Recommending new movies

inferred← citeshttps://doi.org/10.1145/1639714.1639734openalex-snapshot

Stacking recommendation engines with additional meta-features

inferred← citeshttps://doi.org/10.1145/1774088.1774460openalex-snapshot

Prediction of social bookmarking based on a behavior transition model

inferred← citeshttps://doi.org/10.1145/1807167.1807216openalex-snapshot

Multiple feature fusion for social media applications

inferred← citeshttps://doi.org/10.1145/1816041.1816087openalex-snapshot

A ranking method for multimedia recommenders

inferred← citeshttps://doi.org/10.1145/1864708.1864727openalex-snapshot

Multiverse recommendation

inferred← citeshttps://doi.org/10.1145/1871437.1871509openalex-snapshot

CiteData

inferred← citeshttps://doi.org/10.1145/1877911.1877915openalex-snapshot

Social webconsciousness

inferred← citeshttps://doi.org/10.1145/1921591.1921593openalex-snapshot

Comparison of collaborative filtering algorithms

inferred← citeshttps://doi.org/10.1145/2009916.2009961openalex-snapshot

Functional matrix factorizations for cold-start recommendation

inferred← citeshttps://doi.org/10.1145/2020408.2020434openalex-snapshot

Multiple domain user personalization

inferred← citeshttps://doi.org/10.1145/2039320.2039323openalex-snapshot

Learning multiple models for exploiting predictive heterogeneity in recommender systems

inferred← citeshttps://doi.org/10.1145/2346604.2346611openalex-snapshot

Context-aware social media recommendation based on potential group

inferred← citeshttps://doi.org/10.1145/2348283.2348308openalex-snapshot

TFMAP

inferred← citeshttps://doi.org/10.1145/2487575.2487608openalex-snapshot

LCARS

inferred← citeshttps://doi.org/10.1145/2501025.2501036openalex-snapshot

Customized reviews for small user-databases using iterative SVD and content based filtering

inferred← citeshttps://doi.org/10.1145/2507157.2507168openalex-snapshot

Xbox movies recommendations

inferred← citeshttps://doi.org/10.1145/2507157.2507185openalex-snapshot

Retargeted matrix factorization for collaborative filtering

inferred← citeshttps://doi.org/10.1145/2507157.2507212openalex-snapshot

Recommending scientific articles using bi-relational graph-based iterative RWR

inferred← citeshttps://doi.org/10.1145/2512208openalex-snapshot

Modeling User Preferences in Recommender Systems

inferred← citeshttps://doi.org/10.1145/2532640openalex-snapshot

A Multimedia Recommender System

inferred← citeshttps://doi.org/10.1145/2542665openalex-snapshot

Object-Oriented Travel Package Recommendation

inferred← citeshttps://doi.org/10.1145/2556195.2556259openalex-snapshot

Personalized entity recommendation

inferred← citeshttps://doi.org/10.1145/2556270openalex-snapshot

Collaborative Filtering beyond the User-Item Matrix

inferred← citeshttps://doi.org/10.1145/2629461openalex-snapshot

LCARS

inferred← citeshttps://doi.org/10.1145/2645710.2645728openalex-snapshot

Ratings meet reviews, a combined approach to recommend

inferred← citeshttps://doi.org/10.1145/2663356openalex-snapshot

Modeling Location-Based User Rating Profiles for Personalized Recommendation

inferred← citeshttps://doi.org/10.1145/2740908.2743057openalex-snapshot

Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics

inferred← citeshttps://doi.org/10.1145/2842631openalex-snapshot

STCAPLRS

inferred← citeshttps://doi.org/10.1145/2957755openalex-snapshot

A Unified Video Recommendation by Cross-Network User Modeling

inferred← citeshttps://doi.org/10.1145/2959100.2959180openalex-snapshot

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