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Deep learning approach to obtain collaborative filtering neighborhoods
In the context of recommender systems based on collaborative filtering (CF), obtaining accurate neighborhoods of the items of the datasets is...
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Enhanced Time-Aware Collaborative Filtering for QoS Web Service Prediction
Predicting Quality of Service (QoS) is an essential task in Service Oriented Computing (SOC). In service selection, choosing the right services is a...
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A hybrid user-based collaborative filtering algorithm with topic model
Currently available Collaborative Filtering(CF) algorithms often utilize user behavior data to generate recommendations. The similarity calculation...
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BPMCF: Behavior Preference Map** Collaborative Filtering for Multi-behavior Recommendation
Traditional recommendation methods usually consider one single behavior of users, such as purchasing on e-commerce platforms. But users usually have...
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Neural Graph Collaborative Filtering: Analysis of Possibilities on Diverse Datasets
This paper continues the work by Wang et al. [17]. Its goal is to verify the robustness of the NGCF (Neural Graph Collaborative Filtering) technique...
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Iterative rating prediction for neighborhood-based collaborative filtering
This paper investigates the issue of rating prediction for neighborhood-based collaborative filtering in recommendation systems. A novel rating...
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Efficient Graph Collaborative Filtering with Multi-layer Output-Enhanced Contrastive Learning
Recently, Contrastive Learning (CL) is becoming a mainstream approach to reduce the influence of data sparsity in recommendation system. However,...
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A Collaborative Filtering Recommendation Method with Integrated User Profiles
In the article recommendation, text information as the main body of the recommendation is rich in semantic content. Especially for content-based...
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Algorithm of Collaborative Filtering Recommendation and Its Application in Electronic Shop** Mall
According to the different objects concerned in collaborative filtering recommendation algorithm, it is divided into user-based and item-based...
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Sign prediction in sparse social networks using clustering and collaborative filtering
Today, social networks have created a wide variety of relationships between users. Friendships on Facebook and trust in the Epinions network are...
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Enhancing user and item representation with collaborative signals for KG-based recommendation
Knowledge graph (KG) shows great potential in improving recommendation systems. Recent studies have focused on develo** end-to-end models based on...
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A tensor decomposition based collaborative filtering algorithm for time-aware POI recommendation in LBSN
Point of interest (POI) recommendation problem in location based social network (LBSN) is of great importance and the challenge lies in the data...
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Neural model based collaborative filtering for movie recommendation system
Due to the availability of enormous number of products of same domain is increasing day by day the possibility of getting your desire product is...
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CF-SAFF: Collaborative Filtering Based on Self-attention Mechanism and Feature Fusion
User features and item features are important information for recommendation systems, and their interaction significantly improves the accuracy of...
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Time-Based Distributed Collaborative Filtering Recommendation Algorithm
Recommendation systems based on collaborative filtering are widely used in many fields. Alternating Least Squares (ALS) in the Mlib Library is a...
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Social collaborative filtering using local dynamic overlap** community detection
Recommender systems play an important role in dealing with the problems caused by the great and growing amount of information, and the collaborative...
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Analytical Study of Content-Based and Collaborative Filtering Methods for Recommender Systems
Recommender systems (RSs) are an integral part of daily life. The main purpose of these systems is to suggest relevant items to the users and the use...
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Collaborative Filtering for Recommendation in Geometric Algebra
At present, recommender system plays an important role in many practical applications. Many recommendation models are based on representation...
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Enhanced knowledge transfer for collaborative filtering with multi-source heterogeneous feedbacks
Collaborative filtering (CF) is a widely used method in recommender systems due to its simplicity and efficiency. But most existing CF methods suffer...
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Collaborative Filtering Recommendation Method for Online Teaching Resources of Elderly Care Specialty
The explosive growth of the number and scale of online education resources makes it difficult for learners of elderly care to obtain the online...