Results 101 to 110 of about 228,630 (266)

Neural Collaborative Filtering with Ontologies for Integrated Recommendation Systems. [PDF]

Sensors (Basel), 2022
Alaa El-Deen Ahmed R, Fernández-Veiga M, Gawich M.   +2 more
europepmc   +1 more source

LLM-Semantic Enrichment of Neutrosophic Fuzzy Hypergraphs for Indeterminacy-Driven Reinforcement Learning and Explainable Path-Based Recommendations

IEEE Access
This paper presents a recommendation framework combining Large Language Models (LLMs) with neutrosophic fuzzy hypergraphs for interpretable item recommendations.
Mehbooba P. Shareef, Babita Roslind Jose, Jimson Mathew   +2 more
doaj   +1 more source

MITF maintains genome stability in nonmelanocyte lineages

Molecular Oncology, EarlyView.
MITF is essential for melanocyte survival and acts as an oncogene in 10%–20% of melanomas. We show that MITF depletion causes genome instability in nonmelanocytic cells, leading to LATS2‐mediated P53 activation, cell cycle arrest, and apoptosis. This study highlights the role of MITF as a genome maintenance factor beyond the melanocyte lineage. Created
Drifa H. Gudmundsdottir, Adrián López García de Lomana, Thejus B. Venkatesh, Kritika Kirty, Snaevar Sigurdsson, Linda Vidarsdottir, Ramile Dilshat, Erla Sveinbjornsdottir, Snaedis Ragnarsdottir, Daniel H Magnusson, Maria R. Bustos, Eirikur Steingrimsson, Thorkell Gudjonsson, Stefan Sigurdsson   +13 more
wiley   +1 more source

Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation. [PDF]

JMIR Form Res, 2023
Chaturvedi A, Aylward B, Shah S, Graziani G, Zhang J, Manuel B, Telewa E, Froelich S, Baruwa O, Kulkarni PP, Ξ W, Kunkle S.   +11 more
europepmc   +1 more source

Combining Content-Based Filtering Methods for Building a Powerful Hybrid Recommender System to Improve Tourism in Drâa-Tafilalet Area

Technologies
This paper proposes a hybrid content-based recommender system aimed at enhancing personalized tourism experiences and supporting the promotion of tourism in Morocco, with particular emphasis on the Drâa-Tafilalet region.
Khalid al Fararni, Loukmane Maada, Badraddine Aghoutane, Abdelouahed Sabri, Ali Yahyaouy, Jamal Riffi   +5 more
doaj   +1 more source

Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma

Molecular Oncology, EarlyView.
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski, Júlia Perera‐Bel, Alejo Rodriguez‐Vida, Nuria Juanpere, Jihyun Lee, Daniel E. Michaud, Jennifer L. Guerriero, Kent W. Mouw, Aristotelis Bamias, Filipe L. F. Carvalho, Joaquim Bellmunt   +10 more
wiley   +1 more source

Self-supervised graph neural network with pre-training generative learning for recommendation systems. [PDF]

Sci Rep, 2022
Min X, Li W, Yang J, Xie W, Zhao D.
europepmc   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

IMETA-GNN: Meta Learning-Based Cold Start Optimization for Recommendation System

IEEE Access
Recommendation systems are becoming essential components of contemporary online goods and services, and they significantly affect customer satisfaction.
Nida Siddique, Amna Zafar, Beenish Ayesha Akram, Muhammad Waseem, Sajid Iqbal, Ahmad A. Al-Yahya, Muhammad Nabeel Asghar, Abdullah Abdulrrehman Alaulamie   +7 more
doaj   +1 more source

A Hybrid Recommendation System

, 2016
İnternet büyümesi her geçen gün gözlenmekte, özellikle de sosyal ağlarda bu durum fazlası ile hissedilmektedir. Sunulan ürünlerin, web sayfalarının fazlalığı, belli bir konuda araştırma yapan kişi için kendi konusu ile alakalı hususları bulmayı oldukça meşakkatli hale getirmektedir.
openaire   +3 more sources