The main advantage of carefully programmed chatbots is that they offer context-based information. A good chatbot doesn’t repeat the same question and doesn’t ask pointless questions that have already been answered. These factors have certainly contributed to the current hype surrounding chatbots, which ZHAW observed in a survey of 926 people from 18 to 25 June 2018.

Eurospider’s digital assistant (DA) supports the verbal and classificatory indexing of the books and essays that libraries want to make searchable according to content criteria. In the past, subject indexing was regarded as a central and demanding task for libraries. Today, the future of this content indexing process is the subject of endless discussions and projects. Eurospider’s DA is intended to help develop a strategy that will reduce the time and cost of indexing, increase indexing quality and enable cooperation between national and international libraries.

A transaction monitoring system identifies higher-risk transactions (art. 20 para. 2 AMLO-FINMA). Statisticians give such tasks the respectful label of ‘ill-posed problems’, as they cannot always be conclusively solved. Statisticians love solving these problems.

Chatbots are computer programs simulating human conversation partners. An early fictitious Chatbot is Robby the Robot who appeared first 1956 in the film Forbidden Planet. ELIZA is a real bot to Chatbotwith. She (or it?) was created between 1964 and 1966 by Joseph Weizenbaum at MIT.

The Key Message Spider (KMS) analyzes media and determines whether the key messages (core statements) of your press release have reached the desired target groups.

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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