Results 41 to 50 of about 104,017 (224)

Message-Passing Inference on a Factor Graph for Collaborative Filtering [PDF]

open access: yes, 2010
This paper introduces a novel message-passing (MP) framework for the collaborative filtering (CF) problem associated with recommender systems. We model the movie-rating prediction problem popularized by the Netflix Prize, using a probabilistic factor ...
Kim, Byung-Hak   +2 more
core  

Discovering items with potential popularity on social media

open access: yes, 2016
Predicting the future popularity of online content is highly important in many applications. Preferential attachment phenomena is encountered in scale free networks.Under it's influece popular items get more popular thereby resulting in long tailed ...
Abbas, Khushnood   +2 more
core   +1 more source

Revealing New Aspects of Digital Transformation: The Effects of Digital Transformation on Work Engagement and Proactive Behavior

open access: yesStrategic Change, EarlyView.
ABSTRACT This study explores the direct and indirect effects of digital transformation (DT) promotion and digital transformational leadership (DTL) on work engagement (WE) and proactive behavior (PB). For many firms, DT requires a change from existing business strategies.
Tomoharu Mukaidaira, Hidenori Sato
wiley   +1 more source

Evaluating Netflix’s User Experience (UX) Through The Lens Of The HEART Metrics Method

open access: yesJournal of Applied Informatics and Computing
Netflix is one of the most popular subscription video-on-demand (SVoD) platforms, offering a wide range of authentic, high-quality content and features that allow users to select, enjoy, and share their viewing experiences on social media.
Yulia Astriani   +3 more
doaj   +1 more source

Web based Recommender Systems and Rating Prediction [PDF]

open access: yes, 2009
This project implements a recommender system on large dataset of Netflix’s movies. This project also tries to improve recommender systems by incorporating confidence interval and genres of movies. This new approach enhances the performance and quality of
Nguyen, Tho
core   +1 more source

To Index or Not to Index: Optimizing Exact Maximum Inner Product Search

open access: yes, 2019
Exact Maximum Inner Product Search (MIPS) is an important task that is widely pertinent to recommender systems and high-dimensional similarity search.
Abuzaid, Firas   +3 more
core   +1 more source

Revisiting the Intellectual Legacy of H. Igor Ansoff: A Critical Analysis of His Contributions and Their Impact on the Evolution of Strategic Management

open access: yesStrategic Change, EarlyView.
ABSTRACT This systematic review examines how H. Igor Ansoff's theoretical contributions have evolved in contemporary strategic management through cluster analysis of 116 publications (1968–2024). Four distinct research clusters were identified, revealing that Ansoff's legacy has shifted from theoretical foundations to pedagogical applications and ...
Adiemir Hortega   +4 more
wiley   +1 more source

Cubrimiento informativo sobre las dos primeras temporadas de la serie Narcos: la prensa española y estadounidense

open access: yesRevista Colombiana de Ciencias Sociales, 2019
El propósito de este trabajo es saber, a través de un análisis de contenido cuantitativo, cómo fue el cubrimiento de las dos primeras temporadas de la serie Narcos en la prensa española y estadounidense.
Alexis Arredondo Espinosa   +1 more
doaj   +1 more source

Binge‑watching w perspektywie kultur telewizyjnych

open access: yesAnnales Universitatis Paedagogicae Cracoviensis. Studia de Cultura, 2023
W niniejszym artykule spróbuję zastanowić się, czy binge‑watching, jako nowa kulturowa praktyka oglądania treści telewizyjnych, przyczynia się do zmiany środowiska medialnego, a tym samym stanowi znacznik kultury czy też kultur telewizyjnych.
Alicja Kisielewska
doaj   +1 more source

Taste and the algorithm [PDF]

open access: yes, 2018
Today, a consistent part of our everyday interaction with art and aesthetic artefacts occurs through digital media, and our preferences and choices are systematically tracked and analyzed by algorithms in ways that are far from transparent.
Arielli, Emanuele
core   +1 more source

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