epubli Recommender Systems (Sophie Ahrens, Deutsch), Sonstige Literatur
39,90 €
How to identify the most relevant recommender systems? Recommender systems, such as "customers who bought this item also bought...", are omnipresent in the internet and play a vital role in the online consumer purchase decision. Single web pages normally offer many recommender systems in parallel. The vast variety of in-use decision making systems is driven by sheer technological possibility. Space constraints emerge with a continuously increasing number of available recommender systems and are enforced by the smaller screen sizes on mobile devices. The crucial question becomes - how to implement only the most relevant recommender systems - yet the question still waits for a comprehensive answer. This dissertation takes up the challenge. It turns away from the software engineer perspective of creating one-size-fits-all solutions and takes up the business perspective of managing choice.
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