Sentiment analysis has attracted much attention from both researchers and practitioners as
word-of-mouth (WOM) has a significant influence on consumer behavior. One core task of …

In the recent world with the increasing trend of online activities, there is a rapid growth of
online users and online services resulting in high-dimensional sparse user–item interaction …

Recommendation System helps people in decision making regarding an item/person.
Growth of World Wide Web and E-commerce are the catalyst for recommendation system …

In recent years, materials informatics has been getting more and more attention, and
knowledge base plays a critical role for intelligent applications of materials science and …

Current retrieval and recommendation approaches rely on hard-wired data models. This
hinders personalized customizations to meet information needs of users in a more flexible …

With the development of information technologies and increase scale of digital resources,
personalized recommendation systems have come into the big picture of web2. 0 …

Purpose Online encyclopedia has facilitated users to easily access interesting knowledge
and find solutions for daily problems. However, for the staff in specific domains, especially in …

This paper proposed a method of audio event chage detection and clustering in movies.
Three steps criterion method is used to detect audio event change in movies, non silece …

In this work, we propose a novel recommendation problem, actor recommendation (ActRec),
based on unstructured text data for the movie industry. Given the text description of a role …

Antecedentes: El incremento en la cantidad de datos estructurados, que se encuentran
publicados bajo los principios de los datos enlazados (Linked Data), demuestra que ahora …