The digital newspaper has arrived, and people are experiencing new ways of reading online.

Stay competitive and optimize your operations using Neodata solutions for: creating personalized newsroom according to individual preferences; making your information findable; differentiating your services from your competitors; increasing your ROI.

From newsroom creation to optimized content delivery Neodata solutions will help you to gain readership online:

• Neo-Page, homepage layout decision supporting system, is a very effective solution to monitor real-time the popularity of articles published in homepage (or section’s homepage).  It supports the editorial work providing analytic data and forecasts on articles’ links performance.
• ARS, article recommendation systems, is an innovative system of textual knowledge management working in semantic domains. It uses Neodata proprietary algorithms to select articles by semantic similarity and to recommend them to online readers in real-time sessions.
• Mynews, personalized news delivery, is a powerful engine delivering personalized news based upon four configurable targeting parameters: editorial weight; popularity weight; relevance weight; keywords weight.
• Neo-TM, text-mining engine, compares large amount of text documen in search of their content similarity.

Using a TPDO approach, Neodata solutions for news publishers aims to: increase the number of pageviews and the time spent reading online; deepening user visit on the online newspaper; improve the reader experience offering content of his/her interest;  and make a better ARPU.

• Tracking online readers’ actions and preferences;
• Profiling users interests by means of advanced data-mining techniques;
• Delivering of articles in real-time;
• Optimizing the recommendation process according to newly available information collected in ‘real-time’ on users preferences.