Diplomarbeit, 2007
133 Seiten, Note: 1,0
This thesis explores the application of constraint programming techniques to the rendering of online retailer websites, focusing on the challenges of generating personalized content while adhering to various constraints.
The thesis begins by introducing the problem of rendering online retailer websites, particularly the need for personalized content. It delves into constraint programming as a potential solution, explaining the concepts of constraint satisfaction and optimization problems, including real-time constraint satisfaction.
The chapter then explores a specific constraint problem model, encompassing slots for content placement and various campaigns with associated values. It details how constraints are implemented and relaxed to address challenges like duplicate content and forced promotions, illustrating these concepts with examples.
Finally, the thesis outlines the architecture of a prototypical implementation, including a distributed approach, emphasizing the real-time nature of constraint satisfaction for dynamically updating websites.
Constraint programming, website rendering, e-commerce, personalized content, constraint satisfaction, optimization, real-time, distributed architecture, prototyping.
It is an AI technique used to automatically arrange content on a website based on specific rules (constraints), such as layout requirements or user preferences.
It allows a website to dynamically update its layout and content in real-time as users interact with it, ensuring all design rules are met instantly.
Personalised content refers to product recommendations or banners tailored to a specific user's interests, which must fit into available layout "slots" on the page.
Constraint models can include rules that prevent the same campaign or product from appearing in multiple slots on the same page.
It refers to an architecture where the heavy calculation of finding a valid layout is spread across multiple systems to ensure speed and reliability.
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