Matches in Ruben’s data for { <https://dx.doi.org/10.1007/978-3-030-59833-4_6> ?p ?o }
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- 978-3-030-59833-4_6 author me.
- 978-3-030-59833-4_6 author me.
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- 978-3-030-59833-4_6 about Research.
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- 978-3-030-59833-4_6 about Facebook.
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- 978-3-030-59833-4_6 author me.
- 978-3-030-59833-4_6 author me.
- 978-3-030-59833-4_6 author me.
- 978-3-030-59833-4_6 author me.
- 978-3-030-59833-4_6 coparticipatesWith me.
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- 978-3-030-59833-4_6 P50 me.
- 978-3-030-59833-4_6 P50 me.
- 978-3-030-59833-4_6 P50 me.
- 978-3-030-59833-4_6 P50 me.
- 978-3-030-59833-4_6 maker me.
- 978-3-030-59833-4_6 maker me.
- 978-3-030-59833-4_6 maker me.
- 978-3-030-59833-4_6 maker me.
- 978-3-030-59833-4_6 title "EcoDaLo: Federating Advertisement Targeting with Linked Data".
- 978-3-030-59833-4_6 isPartOf proceedings_of_the_16th_international_conference_on_semantic_systems.
- 978-3-030-59833-4_6 name "EcoDaLo: Federating Advertisement Targeting with Linked Data".
- 978-3-030-59833-4_6 label "EcoDaLo: Federating Advertisement Targeting with Linked Data".
- 978-3-030-59833-4_6 name "EcoDaLo: Federating Advertisement Targeting with Linked Data".
- 978-3-030-59833-4_6 topic Research.
- 978-3-030-59833-4_6 topic Linked_Data.
- 978-3-030-59833-4_6 topic Semantic_Web.
- 978-3-030-59833-4_6 topic Facebook.
- 978-3-030-59833-4_6 topic World_Wide_Web.
- 978-3-030-59833-4_6 subject Research.
- 978-3-030-59833-4_6 subject Linked_Data.
- 978-3-030-59833-4_6 subject Semantic_Web.
- 978-3-030-59833-4_6 subject Facebook.
- 978-3-030-59833-4_6 subject World_Wide_Web.
- 978-3-030-59833-4_6 authorList b0_b1865.
- 978-3-030-59833-4_6 topic Research.
- 978-3-030-59833-4_6 topic Linked_Data.
- 978-3-030-59833-4_6 topic Semantic_Web.
- 978-3-030-59833-4_6 topic Facebook.
- 978-3-030-59833-4_6 topic World_Wide_Web.
- 978-3-030-59833-4_6 abstract "A key source of revenue for the media and entertainment domain is ad targeting: serving advertisements to a select set of visitors based on various captured visitor traits. Compared to global media companies such as Google and Facebook that aggregate data from various sources (and the privacy concerns these aggregations bring), local companies only capture a small number of (high-quality) traits and retrieve an unbalanced small amount of revenue. To increase these local publishers’ competitive advantage, they need to join forces, whilst taking the visitors’ privacy concerns into account. The EcoDaLo consortium, located in Belgium and consisting of Adlogix, Pebble Media, and Roularta Media Group as founding partners, aims to combine local publishers’ data without requiring these partners to share this data across the consortium. Usage of Semantic Web technologies enables a decentralized approach where federated querying allows local companies to combine their captured visitor traits, and better target visitors, without aggregating all data. To increase potential uptake, technical complexity to join this consortium is kept minimal, and established technology is used where possible. This solution was showcased in Belgium which provided the participating partners valuable insights and suggests future research challenges. Perspectives are to enlarge the consortium and provide measurable impact in ad targeting to local publishers.".
- 978-3-030-59833-4_6 datePublished "2020".
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