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Titlebook: Engineering the Web in the Big Data Era; 15th International C Philipp Cimiano,Flavius Frasincar,Daniel Schwabe Conference proceedings 2015

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41#
發(fā)表于 2025-3-28 16:44:44 | 只看該作者
https://doi.org/10.1007/978-1-4612-3454-8ased approach for identifying control flow in web applications that is both automated and provides stronger guarantees of completeness. The empirical evaluation of the approach shows that it is able to identify more complete control flow information than other approaches with comparable analysis run time.
42#
發(fā)表于 2025-3-28 22:31:41 | 只看該作者
43#
發(fā)表于 2025-3-29 02:13:46 | 只看該作者
44#
發(fā)表于 2025-3-29 03:55:23 | 只看該作者
The Hall Effect and Its Applicationsnovel algorithm which is based on our observed characteristics of the inter-arrival time of HTTP records. On a real dataset of mobile web traces, consisting of more than 130 million records and 10,000 users, we show that our methodology achieves around 90% accuracy in segregating URLs representing user activities from non-representative URLs.
45#
發(fā)表于 2025-3-29 08:46:36 | 只看該作者
46#
發(fā)表于 2025-3-29 14:18:31 | 只看該作者
https://doi.org/10.1007/978-1-4471-5334-4sers, indexing process and Web coverage. We implement a number of suggestion approaches based on query-flow and term-query graph models and investigate to what extent they are applicable in this more constrained environment.
47#
發(fā)表于 2025-3-29 17:50:15 | 只看該作者
https://doi.org/10.1007/978-1-4302-1146-4look into how different genres are distributed over content and characterize users according to how eclectic or narrow their interests are. In particular, we show that eclectic users tend to be less influential. Finally, we analyze how user activity can be used to predict content popularity.
48#
發(fā)表于 2025-3-29 23:16:03 | 只看該作者
49#
發(fā)表于 2025-3-30 02:26:11 | 只看該作者
https://doi.org/10.1007/978-1-4939-7431-3s the best sources to ask based on the knowledge vs. availability trade-offs. We experimented with the proposed framework for question and answering scenarios by using two popular social networks as crowd candidates: Twitter and Quora.
50#
發(fā)表于 2025-3-30 05:50:37 | 只看該作者
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