The teams from Eurospider and Publicom spent Tuesday, June 27, 2017 high in the sky visiting Swisscom’s broadcasting station on the Uetliberg.

I don’t mean getting rid of the law itself, but rather ending the actual publication of statutes and other legal information in book form. The book I’m currently reading for pleasure features an outstanding logical structure. Everything I need to understand the page I’m reading is detailed on the preceding pages.

According to a publication by FINMA [1], it is not only exact results that should be considered when matching names during customer vetting: the publication also recommends a phonetic search.

In respect to the development of innovative media analysis services and communication controlling, Publicom and Eurospider strengthen the already close partnership.

RobbySpider has traveled to Australia Open. The Grand Slam Tournament in Melbourne starts today.
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Incidentally, RobbySpider was made by journalists for journalists.

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Information Retrieval

The objective of Information Retrieval (IR) is to search large data collections for information relevant to a user’s information requirements. The term “information retrieval” was coined by Calvin Mooers in 1950. Like “research” the word “retrieval” does not refer to refinding something. It rather relates to the information retrieval paradox: “If I knew what I was searching for, I wouldn’t be searching for it.”

Information retrieval is focuses on three dimensions: systems and applications, theory and models, evaluation. Various retrieval models exist, such as Vector Space Model (VSM) and probabilistic and language models. For evaluatio,n recall and precision are often used. SMART was an early retrieval system that dealt with all three aspects. RankBrain is a more recent retrieval system based on TensorFlow.

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