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Access to information has been made easier in different domains that range from multimedia content, books, music, news, etc. To deal with the huge amount of alternatives, recommendation systems have been often used as a solution to filter the options and provide suggestions of items that might be of interest to an user. The news domain introduces additional challenges due not only to the large amount of new items produced daily but also due to their ephemeral timelife.

In this paper, a news recommendation system which combines content-based and georeferenced techniques in a mobility scenario, is proposed. Taking into account the volatility of the information, short-term and long-term user profiles are considered and implicitly built. Besides tracking users’ clicks, the system infers different levels of interest an article has by tracking and weighting each action in the system and in social networks. Impact of the different fields that make up a news is also taken into account by following the inverted pyramid model that assumes different levels of importance to each paragraph of the article. The solution was tested with a population of volunteers and results indicate that the quality of the recommendation approach is acknowledged by the users.

As the primary standard for exhibiting information in the network era, HTML5 is applied in almost every system platform and terminal equipment due to its versatile and cross-platform features. Therefore, it is of great practical significance to explore the function of HTML5. In this era of traditional internet shifting into mobile internet, geographical location-based services have bright prospects and significant commercial value. With its geolocation module, HTML5 can definitely be used for orientation-related functions. This paper probes into the geolocation module of HTML5 and offers detailed code on how to use this module in mainstream electronic maps to achieve terminal positioning services.