Using Query Reformulation to Compare Learning Behaviors in Web Search Engines
Web search engines have gained importance as tools capable of connecting informal and self-learning with formal learning by aiding individuals in retrieving relevant information through the formulation and modification of their queries. Understand the differences between query states and their transitions becomes increasingly important, as doing so makes the optimization of search engines' results according to educational uses and needs possible. This paper introduces the ESKiP Taxonomy of...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, ICALT 2019|
|01_Tibau_Using_Query_Reformulation_to_2019.pdf||134.13 kB||Adobe PDF|
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