Resources Library by ANA

Predicting TV viewership with neural networks

Neural networks are methods widely used in tasks such as image recognition, computer vision, sequence prediction, text encoding and document classification. At Viacom's Data Science and Advanced Analytics (DSAA) we are building cutting-edge platforms...

Catalogue: Big Data World 2017: Smart Data Integration

Author: Alex Ruiz

January 15, 2017

Modelling with neural nets

This paper describes an operational model used within the scope of a budget process for a warranty extension product. The model is built on a database containing a record of the costs incurred with several thousand vehicles over a period of five...

Catalogue: ESOMAR Congress 1998: The Power Of Knowledge

Authors: Pierre Marie Windal, Nathalie Gouenard, Christine Oneto

September 1, 1998

Customer segmentation for the automobile market

We shall look for a segmentation of small car buyers with similar product expectations in France. After discussing the difficulties, we shall describe the data collection upon which the segmentation is based before describing the methodology. The...

Catalogue: ESOMAR Congress 1997: Learning From The Future

Authors: Gerard Yahiaoui, Pierre Da Silva Dias, Marie de Saint Blancard

September 1, 1997

Using neural networks to put customer satisfaction data into action

Customer satisfaction analyses often suffer from the fact that it is difficult to compress the large amount of gathered data material into relevant, concrete action recommendations for decision makers, whereby the practical significance and operative...

Catalogue: ESOMAR Congress 1997: Learning From The Future

Authors: Klaus Stadtler, Thomas Liehr

Company: Burke, Inc.

September 1, 1997

Prediction of customer segments with Neural Nets

The process of categorising customers is traditionally based on simple slotting procedures or more extensive survey data. The first procedure might be inaccurate and/or uncertain, the latter complicated, time- consuming, and most of all expensive. It...

Catalogue: Seminar 1996: Telecommunications In A Dynamic Market Place

Authors: Knut Kvaal, Harald Djupvik

June 15, 1996

Improving quality today through technology

In the U.S., the self-administered diary method has achieved status as the industry standard for measuring radio, but data users are increasingly convinced that something better must surely exist. Indeed, Arbitron itself continues to develop what...

Catalogue: Radio Research Symposium 1995

Author: James D. Peacock

Company: Nielsen

July 1, 1995

Neural patterns

Two factors are necessary for a method to be useful in a variety of country settings. An analysis technique to understand information available is required that is robust and not constrained. And, data of a comparable format and scope of measurement...

Catalogue: ESOMAR/JMA/ARF Conference 1995: Triad 2000

Author: Bruce Grey Tedesco

June 15, 1995

Beyond fusion

In order to achieve effective targeting, Media Researchers require access to detailed data for every type of medium. Unfortunately, existing surveys tend to be too specific. For instance, television studies deal only with broad target groups and few...

Catalogue: Seminar 1994: From Door-To-Door To Satellite

Authors: Ken Hendrickson, Richard Acott

June 15, 1994

Participants say the darndest things

Media researchers often focus on the need for precise methodological conclusions from large-scale experimental research. In Arbitron's experience, however, many innovations have their roots in a very simple exercise—listening to comments by...

Catalogue: ESORMAR/ARF Worldwide Electronic And Broadcast Audience Research 1994

Authors: Thomas W. White, James D. Peacock

Company: Nielsen

May 1, 1994