Predicting and detecting the relevant contextual information in a movie-recommender system

A Odić, M Tkalčič, JF Tasič, A Košir - Interacting with Computers, 2013 - academic.oup.com
Context-aware recommender system (CARS) is a highly researched and implemented way
of providing a personalized service that helps users to find their desired content. One of the …

[图书][B] Multimodal analysis of user-generated multimedia content

R Shah, R Zimmermann - 2017 - Springer
The amount of user-generated multimedia content (UGC) has increased rapidly in recent
years due to the ubiquitous availability of smartphones, digital cameras, and affordable …

Advisor: Personalized video soundtrack recommendation by late fusion with heuristic rankings

RR Shah, Y Yu, R Zimmermann - Proceedings of the 22nd ACM …, 2014 - dl.acm.org
Capturing videos anytime and anywhere, and then instantly sharing them online, has
become a very popular activity. However, many outdoor user-generated videos (UGVs) lack …

Leveraging multimodal information for event summarization and concept-level sentiment analysis

RR Shah, Y Yu, A Verma, S Tang, AD Shaikh… - Knowledge-Based …, 2016 - Elsevier
The rapid growth in the amount of user-generated content (UGCs) online necessitates for
social media companies to automatically extract knowledge structures (concepts) from …

Обзор методов учета контекста в системах коллаборативной фильтрации

АВ Пономарев - Информатика и автоматизация, 2013 - ia.spcras.ru
Аннотация По мнению многих исследователей, одним из наиболее действенных
способов повышения качества рекомендующих систем является использование этими …

Introduction to special section on camra2010: Movie recommendation in context

A Said, S Berkovsky, EW De Luca - ACM Transactions on Intelligent …, 2013 - dl.acm.org
The challenge and workshop on Context-Aware Movie Recommendation (CAMRa2010)
were conducted jointly in 2010 with the Recommender Systems conference. The challenge …

Multimodal semantics and affective computing from multimedia content

RR Shah, D Mahata, V Choudhary… - … Data and Image …, 2018 - igi-global.com
Advancements in technologies and increasing popularities of social media websites have
enabled people to view, create, and share user-generated content (UGC) on the web. This …

Impact of the context relevancy on ratings prediction in a movie-recommender system

A Odić, M Tkalčič, JF Tasič, A Košir - automatika, 2013 - Taylor & Francis
Recommender systems are a popular and a highly researched way of helping users get to
their desired content in the huge amount of available data, and services online …

[PDF][PDF] Algorithms for multi-target learning

B Piccart - 2012 - lirias.kuleuven.be
This work contains the results of research conducted at the Department of Computer
Science at the University of Leuven. Funding was provided by the FWO, without which this …

Tag recommendation and ranking

R Shah, R Zimmermann, R Shah… - Multimodal Analysis of …, 2017 - Springer
Social media platforms such as Flickr allow users to annotate photos with descriptive
keywords, called, tags with the goal of making multimedia content easily understandable …