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Recomendação de notÃcias usando frequência de termos e similaridade de documentos
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ISBN10: 6208912156
ISBN13: 9786208912154
Publisher: Edicoes Nosso Conhecimento
Published: May 31 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: Portuguese
ISBN13: 9786208912154
Publisher: Edicoes Nosso Conhecimento
Published: May 31 2025
Pages: 56
Weight: 0.19
Height: 0.13 Width: 6.00 Depth: 9.00
Language: Portuguese
A sobrecarga excessiva de informações tornou-se um problema grave recentemente. O uso extensivo da tecnologia facilitou a vida, mas também levou ao acesso à criação de informações. Existem vários portais de notÃcias onde muitas informações são carregadas diariamente. Como estamos na era das notÃcias eletrônicas, ler notÃcias online tornou-se um hábito comum das pessoas. As pessoas tendem a ler notÃcias na Web em vez de jornais ou outros meios de comunicação. Torna-se mais difÃcil para o utilizador encontrar notÃcias relevantes e populares em pouco tempo. Hoje em dia, isso tornou-se um grande desafio, pois todos têm gostos e hábitos de leitura diferentes. Uma solução para este problema é o sistema de recomendação de notÃcias. Foi desenvolvida uma recomendação baseada em conteúdo que recomenda notÃcias com base na semelhança do artigo com a consulta e na semelhança do documento. Medidas como contagem de frequência de termos e semelhança de documentos são usadas para descobrir a semelhança da consulta no corpus completo de artigos de notÃcias. Cada documento é comparado com todos os documentos disponÃveis no corpus e a correspondência de conteúdo é realizada para descobrir a pontuação de semelhança. Os resultados são avaliados em dois conjuntos de dados diferentes usando medidas para avaliar a relevância dos artigos de notÃcias recomendados.
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