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Tagged with: Personalisation, Recommendations and Content Discovery

Posts (20)

  1. Developing personalised recommender systems at the 主播大秀

    Jana Eggink

    Senior Data Scientist

    Developing personalised recommender systems at the 主播大秀

    Some of the approaches that are being tested to improve recommendations.

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  2. Personalisation: Is there a price for convenience?

    Sinead O'Brien

    Lead Project Manager, TS&A

    Personalisation: Is there a price for convenience?

    There is an increasingly fine line between personalised services and invasive services. Do people understand that they鈥檙e trading their personal data for these services? Are they aware of the risks? Do they care?

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  3. Privacy by design

    Adam Bailin

    Head of Audiences Products, 主播大秀 Marketing & Audiences

    Privacy by design

    Some of the technical challenges around providing data privacy options.

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  4. Your data matters

    Julie Foster

    主播大秀 Data Protection Officer

    Your data matters

    How the 主播大秀 is meeting its GDPR requirements.

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  5. Building a more personal and local 主播大秀 News website

    Karolina Iwaszko

    Executive Product Manager

    Building a more personal and local 主播大秀 News website

    We are making some changes to the way we provide local news, sport and other location driven information, offering a view of what鈥檚 relevant and important to a person from the perspective of their locality, allowing users to define how close to them they want their news to be.

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  6. An experiment with voiceprints

    Cyrus Saihan

    Digital Partnerships

    An experiment with voiceprints

    Exploring how your TV - using the unique sound of your voice - could give you a more intuitive and personal service in the future.

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  7. Notifications feature brings personalised alerts to 主播大秀 Online

    Nicola Diggelmann

    Senior Product Manager

    Notifications feature brings personalised alerts to 主播大秀 Online

    Notifications are both convenient and personalised to you, working as a quick and easy way to be alerted to content you enjoy. Clicking on the bell displays your personal Notifications hub - a list of all your notifications, with each providing a direct link to the relevant content.

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  8. How we built 主播大秀 Shuffle

    Andrew Nicolaou

    Engineer

    How we built 主播大秀 Shuffle

    One of 主播大秀 R&D's research questions is to ask if it's possible to offer the benefits of personalisation while maintaining privacy.

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  9. A closer look at three C主播大秀 prototypes

    Dan Cooper

    Development Producer

    We introduced phase one of our three pilot projects in a blog post last year; now all three are being tested at scale after a second phase of development.

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  10. 主播大秀 iD: Making sign in simple

    Richard Northover

    Product Manager

    We've been working for a while on some changes to the way 主播大秀 iD works, which we hope will make it better all-round. Some improvements have appeared already, but there are more to come.

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