Online Video Platform with Context-Aware Content-Based Recommender System
Date
2021-03-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Politechnic Publishing House
Abstract
The problem of developing an online video
platform with a context-aware content-based recommender
system has been considered. Approaches to developing
online video platforms have been considered. A comparison
of popular online video platforms has been presented. A
method of context-aware content-based recommendation of
videos has been proposed. A method involves saving
information about user interaction with video, obtaining
and storing information about which videos the user liked,
determining user context, composing a profile of user
preferences, composing a profile of user preferences
depending on context, determining the similarity between
the video profile and a profile of user preferences (with and
without context consideration), determining the relevance
of the video to the context, the conclusive estimation of the
relevance of the video to the user's preferences based on the
proposed composite relevance indicator. The developed
structure of online video platform has been presented. The
algorithm of its work has been considered. The structure of
the online video platform database has been proposed.
Features of designing the user interface of the online video
platform have been considered. The issue of testing the
developed online video platform has been considered.
Description
Keywords
online video platform, context awareness, content-based recommender system
Citation
Pisotskyi M. Online Video Platform with Context-Aware Content-Based Recommender System / Marian Pisotskyi, Alexey Botchkaryov // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 6. — No 1. — P. 46–53.