Results 51 to 60 of about 2,095 (214)

A Study of Scenic Spot Living Facility Recommendation Based on Collaborative Filtering

MATEC Web of Conferences, 2015
For the collection of massive complex information, the collaborative filtering system can work as a highly efficient information screening tool. It can recommend reasonable information reserve with multi angles according to the living service facility ...
Luo Wenbiao
doaj   +1 more source

MOVIE RECOMMENDATION USING MODIFIED NEURAL COLLABORATIVE FILTERING AND FP-GROWTH ALGORITHM [PDF]

ICTACT Journal on Soft Computing
Recommendation system is a process of suggesting more likely items to the users based on their preferences and interest. Applications of recommendation system are seen in almost many areas like e- commerce, social media and multimedia platform. In recent
R. Bhavani, K.G. Yamuna
doaj   +1 more source

Analysis of existing algorithms of music recommendation systems

Технічна інженерія, 2022
We live in a time characterized by excessive information overload. For example, a user looking for music, goods or videos does not intend to spend a lot of time and delve into the complexities of the search process. In such situations, it is advisable to
R.S. Hordeiev, M.S.
doaj   +1 more source

Heterogeneous Collaborative Filtering

CoRR, 2019
Recommendation system is important to a content sharing/creating social network. Collaborative filtering is a widely-adopted technology in conventional recommenders, which is based on similarity between positively engaged content items involving the same users.
Yifang Liu, Zhentao Xu, Cong Hui, Yi Xuan, Jessie Chen, Yuanming Shan   +5 more
openaire   +2 more sources

Disentangled Graph Collaborative Filtering [PDF]

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
SIGIR ...
Xiang Wang 0010, Hongye Jin, An Zhang 0003, Xiangnan He 0001, Tong Xu 0001, Tat-Seng Chua   +5 more
openaire   +2 more sources

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Collaborative Filtering on Data Streams [PDF]

, 2005
Collaborate Filtering is one of the most popular recommendation algorithms. Most Collaborative Filtering algorithms work with a static set of data. This paper introduces a novel approach to providing recommendations using Collaborative Filtering when user rating is received over an incoming data stream.
Jorge M. Barajas, Xue Li 0001
openaire   +2 more sources

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

FEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi, João C. Encarnação, Valeria Napolitano, Grzegorz Dubin, Grzegorz Popowicz, Karl Andersson, U. Helena Danielson   +6 more
wiley   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source

Collaborative Filtering Recommendation Algorithm Combining Positive and Negative Similarities [PDF]

Jisuanji gongcheng, 2016
The sparsity of rating data is a common problem in collaborative filtering recommendation systems.This paper proposes a collaborative filtering recommendation algorithm based on positive and negative similarities which presents a calculation method of ...
ZHOU Hongyu,LIANG Gang,FENG Cheng,LIU Jiangdong
doaj   +1 more source