A literature review of recommender systems in the television domain

D Véras, T Prota, A Bispo, R Prudêncio… - Expert Systems with …, 2015 - Elsevier
Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions of relevant items to users. These systems have received increasing attention …

Considering temporal aspects in recommender systems: a survey

V Bogina, T Kuflik, D Jannach, M Bielikova… - User Modeling and User …, 2023 - Springer
The widespread use of temporal aspects in user modeling indicates their importance, and
their consideration showed to be highly effective in various domains related to user …

A micro-video recommendation system based on big data

S Shang, M Shi, W Shang… - 2016 IEEE/ACIS 15th …, 2016 - ieeexplore.ieee.org
With the development of the Internet and social networking service, the micro-video is
becoming more popular, especially for youngers. However, for many users, they spend a lot …

A gate-level method for transistor-level bridging fault diagnosis

X Fan, W Moore, C Hora… - 24th IEEE VLSI Test …, 2006 - ieeexplore.ieee.org
The paper addresses the issue of transistor-level bridging fault diagnosis. While most of the
previous bridging fault diagnosis work focuses on the gate-level bridging faults, this method …

A television recommender system learning a user's time-aware watching patterns using quadratic programming

N Kim, S Oh, JH Lee - Applied Sciences, 2018 - mdpi.com
In this paper, a novel television (TV) program recommendation method is proposed by
merging multiple preferences. We use channels and genres of programs, which is available …

Designing a multichannel nanocavity coupled photonic crystal biosensor for detection of glucose concentration in blood

S Ameta, A Sharma, PK Inaniya - 2017 8th international …, 2017 - ieeexplore.ieee.org
Biosensor is an analytical device used to detect the biological analyte, which can be
antibodies enzymes cells or biomolecules. Biosensors have many applications like in …

Incorporating time-interval sequences in linear TV for next-item prediction

V Bogina, Y Variat, T Kuflik, E Dim - Expert Systems with Applications, 2022 - Elsevier
As linear TV remains a major source for media consumption, multiple stakeholders such as
broadcasters and advertisers are interested in the prediction of the next programs to be …

Информационные технологии и математическое моделирование в экономике

КФ Коледина, ИМ Губайдуллин, ГР Карамутдинова… - 2015 - elibrary.ru
В пособии рассмотрены различные математические методы, используемые в
экономических задачах. Рассмотрены методы регрессионного анализа, постановка и …

TV Program recommender system using viewing time patterns

H Bang, HW Lee, JH Lee - Journal of the Korean Institute of …, 2015 - koreascience.kr
As a number of TV programs broadcast today, researches about TV program recommender
system have been studied and many researchers have been studying recommender system …

Context-awareness and viewer behavior prediction in social-TV recommender systems: survey and challenges

M Bambia, R Faiz, M Boughanem - New Trends in Databases and …, 2015 - Springer
This paper surveys the landscape of actual personalized TV recommender systems, and
introduces challenges on context-awareness and viewer behavior prediction applied to …