We investigate a hybrid recommendation method that is based on two-stage data processing – first dealing with content features describing items, ...
Cliques-based Data Smoothing Approach for Solving Data Sparsity in Collaborative Filtering · Enhancing Collaborative Filtering Using Semantic Relations in Data.
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This paper introduces an approach for semantically enhanced collaborative filtering in which structured semantic knowledge about items, ...
In this paper, we propose a scalable and reliable recommender system based on semantic data and Matrix Factorization. The former increases the recommendations ...
[PDF] An Enhanced Collaborative Filtering-based Approach for ...
www.ijcaonline.org › number41 › s...
The experimental results showed that the proposed ASVD outperformed other models of SVD using RSVD and SSVD. 3.PROPOSED APPROACH. The main stages for an ...
A new user similarity model to improve the accuracy of collaborative filtering
dl.acm.org › doi › abs
This paper presents a new user similarity model to improve the recommendation performance when only few ratings are available to calculate the similarities for ...
合著作者 ; Semantically enhanced collaborative filtering based on RSVD. A Szwabe, M Ciesielczyk, T Janasiewicz. Computational Collective Intelligence.
In this paper, we introduce an approach for semantically enhanced collaborative filtering in which structured semantic knowledge about items, extracted ...
Missing: RSVD. | Show results with:RSVD.
Dec 29, 2022 · In this work, a recommender system is proposed using the collaborative filtering mechanism for e-Learning course recommendation. This work is ...
We propose to use a matrix, in which columns represent RDF-like triples and rows represent users, items, and relations. We show that the proposed behavioral ...