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Titlebook: Web Engineering; 18th International C Tommi Mikkonen,Ralf Klamma,Juan Hernández Conference proceedings 2018 Springer International Publishi

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樓主: Philanthropist
51#
發(fā)表于 2025-3-30 11:44:13 | 只看該作者
52#
發(fā)表于 2025-3-30 14:54:44 | 只看該作者
53#
發(fā)表于 2025-3-30 20:04:35 | 只看該作者
Effective Crowdsourced Generation of Training Data for Chatbots Natural Language Understandings sent to chatbots. The user experience of chatbots largely depends on the performance of the NLU model, which itself largely depends on the initial dataset the model is trained with. The training data should cover the diversity of real user requests the chatbot will receive. Obtaining such data is
54#
發(fā)表于 2025-3-30 20:45:11 | 只看該作者
Effective Crowdsourced Generation of Training Data for Chatbots Natural Language Understandings sent to chatbots. The user experience of chatbots largely depends on the performance of the NLU model, which itself largely depends on the initial dataset the model is trained with. The training data should cover the diversity of real user requests the chatbot will receive. Obtaining such data is
55#
發(fā)表于 2025-3-31 03:04:55 | 只看該作者
Chatbot Dimensions that Matter: Lessons from the Trenchesties. Natural Language capabilities have received a lot of coverage as one of the most distinctive and enabling features of this revolution. Nevertheless, other less glittering dimensions might well also play a major role on chatbots’ success. This paper reports on the experience of three chatbots d
56#
發(fā)表于 2025-3-31 06:53:32 | 只看該作者
57#
發(fā)表于 2025-3-31 10:32:36 | 只看該作者
HCI Vision for Automated Analysis and Mining of Web User Interfaceserface (WUI). Our paper is dedicated to approaches that instead focus on analysis of webpage’s visual representation – the way it is rendered in different browsers and environments and delivered to the end user. Specifically, we describe the software tool that we built, which takes a WUI screenshot
58#
發(fā)表于 2025-3-31 17:03:16 | 只看該作者
59#
發(fā)表于 2025-3-31 18:04:35 | 只看該作者
Decentralized Computation Offloading on the Edge with Liquid WebWorkers, smart phones or any device capable of running a Web browser. In this context, there is the opportunity to reduce the execution time of CPU-intensive tasks or limit their energy consumption by offloading them across the set of machines running the liquid Web application. To do so, in this paper we
60#
發(fā)表于 2025-3-31 22:58:49 | 只看該作者
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