Results 51 to 60 of about 208,309 (312)
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
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
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
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Neural Collaborative with Sentence BERT for News Recommender System
JOIV: International Journal on Informatics Visualization, 2021 The number of news produced every day is as much as 3 million per day, making readers have many choices in choosing news according to each reader's topic and category preferences.
Budi Juarto, Abba Suganda Girsang
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FEBS Open Bio, EarlyView.Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp +13 more
wiley +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.
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AUC Optimisation and Collaborative Filtering [PDF]
, 2015 In recommendation systems, one is interested in the ranking of the predicted items as opposed to other losses such as the mean squared error. Although a variety of ways to evaluate rankings exist in the literature, here we focus on the Area Under the ROC
Clemencon, Stephan +2 more
core +3 more sources
Neural Graph Collaborative Filtering
, 2019 Learning vector representations (aka. embeddings) of users and items lies at the core of modern recommender systems. Ranging from early matrix factorization to recently emerged deep learning based methods, existing efforts typically obtain a user's (or ...
Chua, Tat-Seng +4 more
core +1 more source
Collaborative Filtering CAPTCHAs [PDF]
, 2005 Current CAPTCHAs require users to solve objective questions such as text recognition or image recognition. We propose a class of CAPTCHAs based on collaborative filtering. Collaborative filtering CAPTCHAs allow us to ask questions that have no absolute answer; instead, the CAPTCHAs are graded by comparison to other people’s answers.
Monica Chew, J. D. Tygar
openaire +1 more source
FEBS Open Bio, EarlyView.What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source