Learning-oriented Question Recommendation

Name: Learning-oriented Question Recommendation
Brand: Sudwestdeutscher Verlag Fur Hochschulschriften AG
SKU: 9783838134154
Price: 23443 HUF
Availability: InStock

Szerző: Andreea Hilda Kosorus

Nyelv:

Kötés: Puha kötésű

Kiadó: Sudwestdeutscher Verlag Fur Hochschulschriften AG

Elérhetőség: Beszállítói készleten

Küldés 8-11 napon belül

23 443 Ft

The information overload in the past two decades has enabled question-answering (QA) systems to accu...

Információk a könyvről

Szerző

Andreea Hilda Kosorus

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2014

oldal

196

EAN

9783838134154

ISBN

383813415X

Enbook ID

06987815

Kiadó

Sudwestdeutscher Verlag Fur Hochschulschriften AG

Súly

295

Méretek

152 x 229 x 11

Teljes leírás

The information overload in the past two decades has enabled question-answering (QA) systems to accumulate large amounts of textual fragments that reflect human knowledge. Therefore, such systems have become not just a source for information retrieval, but also a means towards a unique learning experience. Meanwhile, the success of recommender systems has motivated research on deploying recommendation techniques also in educational environments to facilitate access to a wide spectrum of information. However, the adopted methods were rather traditional, generally applicable to any recommendation need. Current conceptions about learning assume learners as active agents and not passive recipients or simple recorders of information. Therefore, the sequence in which knowledge is assimilated is of high importance. Recently developed recommendation techniques for search engine queries try to leverage the order in which users navigate through them. However, these are not suitable for QA systems. In this work we address the challenge of learning-oriented question recommendation by adopting variable length Markov chains and Bloom's learning taxonomy.

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Learning-oriented Question Recommendation

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