Add to ORKGWe present MEoWS Reader, a personalized news reader featuring an efficient algorithm for processing a new class of continuous top-k textual queries using dynamic non-homogeneous ranking functions [10].
Faced with massive amounts of online news, it is often difficult for the public to quickly locate th...
There is an increasing number of people reading, writing, and commenting on blogs. According to a re...
News recommender systems aim to personalize users experience for online news readers and help them d...
Context The huge amounts of data produced every day by Web 2.0 applications, call for efficient onli...
Approach: Continuous top-k text queries News and social media produce huge amounts of information it...
Abstract. In this paper, we present a web-based, machine-learning enhanced news reader (PersoNews). ...
Web 2.0 portals have made content generation easier than ever with millions of users contributing ne...
Web 2.0 portals have made content generation easier than ever with millions of users contributing ne...
News recommendation is an effective information dissemination solution in modern society. While rece...
One of the most commonly used of online services is news reading. A key challenge is selecting news ...
The news landscape has changed during recent years because of the digitization. News can nowadays be...
Dans cette thèse, nous nous intéressons à l'évaluation efficace de requêtes top-k continues sur des ...
The surge in the amount of information available on the internet and the number of users utilizing s...
Progressive Filtering is a hierarchical classification technique framed within the local classifier ...
There is an increasing number of people reading, writing, and commenting on blogs. According to a re...
Faced with massive amounts of online news, it is often difficult for the public to quickly locate th...
There is an increasing number of people reading, writing, and commenting on blogs. According to a re...
News recommender systems aim to personalize users experience for online news readers and help them d...
Context The huge amounts of data produced every day by Web 2.0 applications, call for efficient onli...
Approach: Continuous top-k text queries News and social media produce huge amounts of information it...
Abstract. In this paper, we present a web-based, machine-learning enhanced news reader (PersoNews). ...
Web 2.0 portals have made content generation easier than ever with millions of users contributing ne...
Web 2.0 portals have made content generation easier than ever with millions of users contributing ne...
News recommendation is an effective information dissemination solution in modern society. While rece...
One of the most commonly used of online services is news reading. A key challenge is selecting news ...
The news landscape has changed during recent years because of the digitization. News can nowadays be...
Dans cette thèse, nous nous intéressons à l'évaluation efficace de requêtes top-k continues sur des ...
The surge in the amount of information available on the internet and the number of users utilizing s...
Progressive Filtering is a hierarchical classification technique framed within the local classifier ...
There is an increasing number of people reading, writing, and commenting on blogs. According to a re...
Faced with massive amounts of online news, it is often difficult for the public to quickly locate th...
There is an increasing number of people reading, writing, and commenting on blogs. According to a re...
News recommender systems aim to personalize users experience for online news readers and help them d...