Turning Your Website Traffic into Quality Leads

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Suggesting multiple sports articles to all users just because a large segment of the audience likes sports articles (in this case. men.. Jacob Welander. Schibsted The results gained relevance through collaborative filtering. a process that links the user and content dimensions. This system learns users’ preferences and their relationship to content. without relying on labels or other tags. Based on past interests and interactions with articles. this filtering helps recommend new articles. Content recommendation is already in place on most of Schibsted’s sites. with Aftenposten currently personalizing 66 of the 80 locations on its homepage for subscribers.


This strategy offers several benefits: better distribution sweden telegram of niche content and increased engagement with female readers. particularly those aged 30 to 39. The next challenge is personalization for offline users. 3 generations of search engines At Podimo . AI not only facilitates the discovery of archive podcasts. but also transforms the search engine from a simple (non.discovery machine into a conversational agent. After learning to classify podcasts and to exploit semantic search . which eliminates the need for precise keywords. Benjamin B.


Biering's teams are now working on a discovery in free conversation. This new system. also based on a pre-trained model available on Hugging Face. has tripled their conversion rate. Should LLMs be educated? On the subject of the unfortunate issue of copyright. two worlds clashed: on the one hand. Natali Helberger. professor at the University of Amsterdam. who returned to the saga of the European AI Act. which only addresses copyright issues from the perspective of transparency.