Um homem de 66 anos, natural de Vila do Conde, morreu esta sexta-feira na sequência de um atropelamento ferroviário ocorrido na passagem de nível do Loreto, nos arredores de Coimbra.
A vítima, Acácio Campos, residente na freguesia de Bagunte, em Vila do Conde, participava numa peregrinação a pé rumo a Fátima quando foi atingida por um comboio Alfa Pendular.
O peregrino seguia integrado num grupo com cerca de 60 pessoas. Segundo as informações conhecidas, alguns elementos já tinham atravessado a linha férrea, enquanto outros aguardavam a possibilidade de o fazer, no momento em que ocorreu o acidente.
O embate foi violento e provocou ferimentos fatais. Os meios de socorro deslocaram-se rapidamente ao local, mas já não foi possível salvar a vítima.
A artista é um dos nomes fortes para a animação musical da Festa da Flor, que decorre no centro da cidade.
Ana Moura tem concerto agendado para as 22h30, na Praça D.Maria II, de entrada gratuita.
A programação da Festa da Flor estende-se até à tarde de domingo do próximo fim de semana, depois de adiada a Batalha das Flores, inicialmente agendada para este fim de semana.
O Governo vai reduzir, a partir de segunda-feira, o desconto extraordinário no ISP aplicado aos combustíveis. O desconto no gasóleo baixa 1,47 cêntimos por litro e na gasolina 0,21 cêntimos.
A decisão surge devido à previsão de descida dos preços dos combustíveis na próxima semana. Assim, o gasóleo deverá baixar até oito cêntimos por litro, enquanto a gasolina deverá descer cerca de dois cêntimos.
O mecanismo temporário foi criado para minimizar o impacto da subida dos preços dos combustíveis causada pela crise no Médio Oriente.
O atleta famalicense foi chamado pela Federação Portuguesa de Atletismo para os Campeonatos Ibero-Americanos. Também Gabriel Maia, que residiu e estudou durante muitos anos em Famalicão, foi chamado.
Tiago Pereira representa atualmente o Benfica e é um dos especialistas nacionais no salto. Nos campeonatos que vão decorrer em Lima, no Peru, de 29 a 31 de maio, o famalicense vai competir no triplo salto.
Gabriel Maia, que representa o Sporting, vai correr os 100 e 200 metros.
A Cruz Vermelha Portuguesa da Trofa, no âmbito do Contrato Local de Desenvolvimento Social – CLDS WI 5G, em parceria com o Município trofense, realiza a 18 de maio, a Feira de Emprego e Formação.
A iniciativa, que decorre entre as 9h30 e as 17h00, no Fórum Trofa XXI, pretende aproximar a comunidade das entidades empregadoras, formativas e educativas, promovendo o acesso a oportunidades de emprego, formação profissional, qualificação e orientação para percursos profissionais.
O certame, de acesso gratuito, terá 16 entidades – empresas de recrutamento, escolas profissionais da Trofa, Famalicão e Santo Tirso, centros de formação e entidades de qualificação -, que vão proporcionar aos visitantes o contacto direto com ofertas, informações e possibilidades de desenvolvimento pessoal e profissional.
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An online retailer wants to advertise a limited sale on running shoes. It wants to target advertising to users who previously looked at running shoes on its mobile app. Tracking technologies might be used to recognise that you have previously used the mobile app to consult running shoes, in order to present you with the corresponding advertisement on the app.
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Information about your activity on this service (for instance, forms you submit, non-advertising content you look at) can be stored and combined with other information about you (such as your previous activity on this service or other websites or apps) or similar users. This is then used to build or improve a profile about you (which might for example include possible interests and personal aspects). Your profile can be used (also later) to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests.
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You read several articles on how to build a treehouse on a social media platform. This information might be added to a profile to mark your interest in content related to outdoors as well as do-it-yourself guides (with the objective of allowing the personalisation of content, so that for example you are presented with more blog posts and articles on treehouses and wood cabins in the future).
You have viewed three videos on space exploration across different TV apps. An unrelated news platform with which you have had no contact builds a profile based on that viewing behaviour, marking space exploration as a topic of possible interest for other videos.
Use profiles to select personalised content (107 seeking consent)
Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services (for instance, the forms you submit, content you look at), possible interests and personal aspects. This can for example be used to adapt the order in which content is shown to you, so that it is even easier for you to find (non-advertising) content that matches your interests.
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You read articles on vegetarian food on a social media platform and then use the cooking app of an unrelated company. The profile built about you on the social media platform will be used to present you vegetarian recipes on the welcome screen of the cooking app.
You have viewed three videos about rowing across different websites. An unrelated video sharing platform will recommend five other videos on rowing that may be of interest to you when you use your TV app, based on a profile built about you when you visited those different websites to watch online videos.
Measure advertising performance (300 seeking consent, 132 using legitimate interest)
Information regarding which advertising is presented to you and how you interact with it can be used to determine how well an advert has worked for you or other users and whether the goals of the advertising were reached. For instance, whether you saw an ad, whether you clicked on it, whether it led you to buy a product or visit a website, etc. This is very helpful to understand the relevance of advertising campaigns.
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You have clicked on an advertisement about a “black Friday” discount by an online shop on the website of a publisher and purchased a product. Your click will be linked to this purchase. Your interaction and that of other users will be measured to know how many clicks on the ad led to a purchase.
You are one of very few to have clicked on an advertisement about an “international appreciation day” discount by an online gift shop within the app of a publisher. The publisher wants to have reports to understand how often a specific ad placement within the app, and notably the “international appreciation day” ad, has been viewed or clicked by you and other users, in order to help the publisher and its partners (such as agencies) optimise ad placements.
Measure content performance (138 seeking consent, 56 using legitimate interest)
Information regarding which content is presented to you and how you interact with it can be used to determine whether the (non-advertising) content e.g. reached its intended audience and matched your interests. For instance, whether you read an article, watch a video, listen to a podcast or look at a product description, how long you spent on this service and the web pages you visit etc. This is very helpful to understand the relevance of (non-advertising) content that is shown to you.
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You have read a blog post about hiking on a mobile app of a publisher and followed a link to a recommended and related post. Your interactions will be recorded as showing that the initial hiking post was useful to you and that it was successful in interesting you in the related post. This will be measured to know whether to produce more posts on hiking in the future and where to place them on the home screen of the mobile app.
You were presented a video on fashion trends, but you and several other users stopped watching after 30 seconds. This information is then used to evaluate the right length of future videos on fashion trends.
Understand audiences through statistics or combinations of data from different sources (198 seeking consent, 67 using legitimate interest)
Reports can be generated based on the combination of data sets (like user profiles, statistics, market research, analytics data) regarding your interactions and those of other users with advertising or (non-advertising) content to identify common characteristics (for instance, to determine which target audiences are more receptive to an ad campaign or to certain contents).
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The owner of an online bookstore wants commercial reporting showing the proportion of visitors who consulted and left its site without buying, or consulted and bought the last celebrity autobiography of the month, as well as the average age and the male/female distribution of each category. Data relating to your navigation on its site and to your personal characteristics is then used and combined with other such data to produce these statistics.
An advertiser wants to better understand the type of audience interacting with its adverts. It calls upon a research institute to compare the characteristics of users who interacted with the ad with typical attributes of users of similar platforms, across different devices. This comparison reveals to the advertiser that its ad audience is mainly accessing the adverts through mobile devices and is likely in the 45-60 age range.
Develop and improve services (200 seeking consent, 107 using legitimate interest)
Information about your activity on this service, such as your interaction with ads or content, can be very helpful to improve products and services and to build new products and services based on user interactions, the type of audience, etc. This specific purpose does not include the development or improvement of user profiles and identifiers.
Examples:
A technology platform working with a social media provider notices a growth in mobile app users, and sees based on their profiles that many of them are connecting through mobile connections. It uses a new technology to deliver ads that are formatted for mobile devices and that are low-bandwidth, to improve their performance.
An advertiser is looking for a way to display ads on a new type of consumer device. It collects information regarding the way users interact with this new kind of device to determine whether it can build a new mechanism for displaying advertising on this type of device.
Use limited data to select content (62 seeking consent, 22 using legitimate interest)
Content presented to you on this service can be based on limited data, such as the website or app you are using, your non-precise location, your device type, or which content you are (or have been) interacting with (for example, to limit the number of times a video or an article is presented to you).
Examples:
A travel magazine has published an article on its website about the new online courses proposed by a language school, to improve travelling experiences abroad. The school’s blog posts are inserted directly at the bottom of the page, and selected on the basis of your non-precise location (for instance, blog posts explaining the course curriculum for different languages than the language of the country you are situated in).
A sports news mobile app has started a new section of articles covering the most recent football games. Each article includes videos hosted by a separate streaming platform showcasing the highlights of each match. If you fast-forward a video, this information may be used to select a shorter video to play next.
