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DataSci4Tapoi SIGNED

Data Science for Tapoi

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 DataSci4Tapoi project word cloud

Explore the words cloud of the DataSci4Tapoi project. It provides you a very rough idea of what is the project "DataSci4Tapoi" about.

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Project "DataSci4Tapoi" data sheet

The following table provides information about the project.

Coordinator
U-HOPPER SRL 

Organization address
address: VIA MERANO 10
city: MALE
postcode: 38027
website: http://www-u-hopper.com

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website https://u-hopper.com/frontend/site/projects
 Total cost 85˙250 €
 EC max contribution 85˙250 € (100%)
 Programme 1. H2020-EU.2.3.2.2. (Enhancing the innovation capacity of SMEs)
 Code Call H2020-INNOSUP-02-2016
 Funding Scheme CSA
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    U-HOPPER SRL IT (MALE) coordinator 85˙250.00

Map

 Project objective

Tapoi (http://www.tapoi.me/) is an innovative customer intelligence service for web portal owners and mobile application developers. Tapoi leverages online activities of users to provide actionable knowledge on their interests and attitudes, allowing the optimization of offers and contents and the improvement of the user experience. Tapoi semantically analyzes the collected activities understanding precisely the meaning of texts, urls, places and tags and uses such meaning to build rich and detailed user profiles describing the interests and preferences demonstrated by the users’ activities. The technological core of Tapoi is a profiling engine that can be specifically tailored to a vertical domain. This engine is able to collect the user activities from the social networks and to semantically analyze them in order to capture deep and detailed knowledge about their interests and preferences. While the customer feedback has been so far very good, and the product is considered to have achieved product-market fit, its current version presents a number of shortcomings which may harm growth and thereby prevent the applicant to fully exploit its business potential. This is related to the construction of models for specific domain, something which at the moment is carried out manually with the assistance of third-party subject matter expert, and the matching functionality which is bespoke and typically defined at design time (hence before the service becomes deployed). U-Hopper believes that advanced data science and machine learning approaches could be successfully applied to tackle the aforementioned issues, thereby providing a boost to the growth of the company and positioning it at the forefront of user analytics for web portals and mobile apps. The project aims at complementing the current team expertise by hiring a top-notch data scientist able to work with the Tapoi team to deliver a new, enhanced version of the product.

 Deliverables

List of deliverables.
Training activities report Documents, reports 2019-05-31 10:48:25
Innovation activities report Documents, reports 2019-05-31 10:48:28
Communication, dissemination and exploitation activities report Documents, reports 2019-05-31 10:48:26

Take a look to the deliverables list in detail:  detailed list of DataSci4Tapoi deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Torrero, Christian; Caprini, Carlo; Miorandi, Daniele
A Wikipedia-based approach to profiling activities on social media
published pages: , ISSN: , DOI: 10.5281/zenodo.1287747
1 2019-06-11

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The information about "DATASCI4TAPOI" are provided by the European Opendata Portal: CORDIS opendata.

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