Results 71 to 80 of about 73,191 (271)
Can we do better than co-citations? Bringing Citation Proximity Analysis from idea to practice in research articles recommendation [PDF]
, 2017 In this paper, we build on the idea of Citation Proximity Analysis (CPA), originally introduced in [1], by developing a step by step scalable approach for building CPA-based recommender systems.
Khadka, Anita, Knoth, Petr
core
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
A probabilistic model to resolve diversity-accuracy challenge of recommendation systems
, 2015 Recommendation systems have wide-spread applications in both academia and industry. Traditionally, performance of recommendation systems has been measured by their precision.
Jalili, Mahdi, Javari, Amin
core +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Intelligent Recommender System for Big Data Applications Based on the Random Neural Network
Big Data and Cognitive Computing, 2019 Online market places make their profit based on their advertisements or sales commission while businesses have the commercial interest to rank higher on recommendations to attract more customers.
Will Serrano
doaj +1 more source
User Fairness in Recommender Systems
, 2018 Recent works in recommendation systems have focused on diversity in recommendations as an important aspect of recommendation quality. In this work we argue that the post-processing algorithms aimed at only improving diversity among recommendations lead ...
Anand, Avishek +2 more
core +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
A review of blockchain applications in personalized recommender systems
大数据, 2022 Blockchain, as an emerging technology, provides a brand-new idea for the improvement of personalized recommender systems with its characteristics of decentralization, tamper-proof, anonymity and traceability.Therefore, the main problems faced by the ...
Xiaoying XU +3 more
doaj
, 2010 Recommender Systems apply machine learning and data mining techniques for filtering unseen information and can predict whether a user would like a given resource.
Ghazanfar, Mustansar +1 more
core
Degenerate Feedback Loops in Recommender Systems
, 2019 Machine learning is used extensively in recommender systems deployed in products. The decisions made by these systems can influence user beliefs and preferences which in turn affect the feedback the learning system receives - thus creating a feedback ...
Chiappa, Silvia +4 more
core +1 more source