Predicting and detecting the relevant contextual information in a movie-recommender system
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 …
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 …
years due to the ubiquitous availability of smartphones, digital cameras, and affordable …
Advisor: Personalized video soundtrack recommendation by late fusion with heuristic rankings
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 …
become a very popular activity. However, many outdoor user-generated videos (UGVs) lack …
Leveraging multimodal information for event summarization and concept-level sentiment analysis
The rapid growth in the amount of user-generated content (UGCs) online necessitates for
social media companies to automatically extract knowledge structures (concepts) from …
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 …
способов повышения качества рекомендующих систем является использование этими …
Introduction to special section on camra2010: Movie recommendation in context
The challenge and workshop on Context-Aware Movie Recommendation (CAMRa2010)
were conducted jointly in 2010 with the Recommender Systems conference. The challenge …
were conducted jointly in 2010 with the Recommender Systems conference. The challenge …
Multimodal semantics and affective computing from multimedia content
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 …
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
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 …
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 …
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 …
keywords, called, tags with the goal of making multimedia content easily understandable …