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Nathalie Campos Macias, Wilhelm Düggelin, Yesim Ruf and Thomas Hanne
Finding, retrieving, and processing information on technology from the Internet can be a tedious task. This article investigates if technological concepts such as web crawling and natural language processing are suitable means for knowledge discovery fro...
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François Fouss and Elora Fernandes
Providing fair and convenient comparisons between recommendation algorithms?where algorithms could focus on a traditional dimension (accuracy) and/or less traditional ones (e.g., novelty, diversity, serendipity, etc.)?is a key challenge in the recent dev...
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Erasmo Purificato, Sabine Wehnert and Ernesto William De Luca
In the age of digital information, where the internet and social networks, as well as personalised systems, have become an integral part of everyone?s life, it is often challenging to be aware of the amount of data produced daily and, unfortunately, of t...
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Siti Mahfuzah Sarif,Zurina Hanafi,Shafinah Farvin Packeer Mohamed,Syamsul Bahrin Zaibon,Mohamad Farhan Mohamad Mohsin
Pág. pp. 129 - 149
This paper discusses a unique business model of eatery recommender system based on local knowledge using mobile platform. The business model is developed to define the business concept of the innovation which is a rural innovation involving multiple enti...
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Cristina Gena, Pierluigi Grillo, Antonio Lieto, Claudio Mattutino and Fabiana Vernero
Aiming at granting wide access to their contents, online information providers often choose not to have registered users, and therefore must give up personalization. In this paper, we focus on the case of non-personalized news recommender systems, and ex...
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