Real-time content analysis is typically a bottleneck in Web filtering. To accelerate the filtering process, this work presents a simple, but effective early decision algorithm that analyzes only part of the Web content. This algorithm can make the filtering decision, either to block or to pass the Web content, as soon as it is confident with a high probability that the content really belongs to...

As we know, today everyone is using On-line Social Networks (OSNs) to communicate and share information. Therefore one important need in today On-line Social Networks (OSNs) is to give users the ability to control the messages posted on their own private space to avoid that unwanted content is displayed. OSNs provide little support to this requirement up to now. To provide this, we propose a sy...

Project COGITO aims at an agent-based interface for B-to-C applications that is not merely re-active to some user request, but pro-active and capable of engaging in a goal-directed conversation with the user, e.g., by taking the initiative to recommend new products. The approach combines content-based filtering, where user profiles are generated based on content features extracted from document...

Recommender system is a kind of web intelligence techniques to make a daily information filtering for people. In this work1, Clustering techniques have been applied to the item-based collaborative filtering framework to solve the cold start problem. It also suggests a way to integrate the content information into the collaborative filtering. Extensive experiments have been conducted on MovieLen...

Many organizations utilize recommendation systems to increase their profitability and win over customers, including Facebook, which suggests friends, LinkedIn, promotes employment, Spotify, recommends music, Netflix, movies, Amazon, purchases. When it comes movie system, suggestions are made based on user similarities (collaborative filtering) or by considering a specific user's behavior (conte...

In This paper we proposes a content-based message filtering conceived and system enforcing machine learning as a key service for On-line Social Networks (OSNs). As we know, today everybody is using On-line Social Networks (OSNs) to communicate and share information. Then one important need in today On-line Social Networks (OSNs) is to give users the capability to control the messages posted on ...

Lembaga Kursus dan Pelatihan (LKP) merupakan pendidikan non-formal yang menyediakan berbagai pelatihan khusus untuk mendidik keterampilan pelajar. Namun, terdapat hal sering menjadi kendala bagi calon pelajar yaitu bingung melakukan dalam pemilihan kursus sesuai dengan preferensinya. Oleh karena itu, tujuan dari penelitian ini adalah merancang sebuah aplikasi online sistem rekomendasi metode Co...