LEONARDO AMARAL - Academia.edu (original) (raw)

Uploads

Papers by LEONARDO AMARAL

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

Os meios de comunicação social» [Domingo, 7 de Maio de 1967) Dirigimo-nos a vós, irmãos e filhos ... more Os meios de comunicação social» [Domingo, 7 de Maio de 1967) Dirigimo-nos a vós, irmãos e filhos queridos, na iminência do "Dia Mundial das Comunicações Sociais", que será celebrado, pela primeira vez, no domingo, 7 de maio.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

This work presents a recommender system that analyzes textual messages sent during a communicatio... more This work presents a recommender system that analyzes textual messages sent during a communication session in a private Web chat, identifies the context of each message and recommends items from a Digital Library. Recommendations are directly made to users in the chat screen and are decided by a software system through a proactive paradigm, without any request of the users. A domain ontology, containing concepts and a controlled vocabulary, is used to identify subjects in textual messages and to automatically classify items of the Digital Library.

Os meios de comunicação social» [Domingo, 7 de Maio de 1967) Dirigimo-nos a vós, irmãos e filhos ... more Os meios de comunicação social» [Domingo, 7 de Maio de 1967) Dirigimo-nos a vós, irmãos e filhos queridos, na iminência do "Dia Mundial das Comunicações Sociais", que será celebrado, pela primeira vez, no domingo, 7 de maio.