Explanation of spreading activation based recommendations

Hussein, Tim; Neuhaus, Sebastian

doi:10.1145/2002375.2002381

published

Explanation of spreading activation based recommendations

In this paper, we introduce an approach for explaining recommendations in environments that are based on semantic models. Using a constrained Spreading Activation (CSA) technique for recommendation generation, we store and exploit the activation paths leading to recommendations. These paths later can be used to generate both verbal explanations and relevance feedback forms.

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Category

Conference:

SEMAIS '10, 1st international workshop on Semantic models for adaptive interactive systems, Hong Kong, China, February 07 - 07, 2010

Date Issued:

24.03.2010

URN:

urn:nbn:de:hbz:465-20100324-151205-4

DOI:

10.1145/2002375.2002381

Language:

English

Type of Resource:

Text

Keywords:

Recommendations; Spreading Activation; Traceability

Collection:

E-Publications

Subject categories of the Deutsche Nationalbibliografie:

004 Data processing Computer sciences

Hosting institution:

Faculty of Engineering, Computer Science and Applied Cognitive Science, Computer Science, Interactive Systems

accrual policy:

This is the version accepted for publication of the following article: Hussein, Tim; Neuhaus, Sebastian: "Explanation of spreading activation based recommendations", in: Hussein, Tim (ed.): Proceedings of the 1st international workshop on Semantic models for adaptive interactive systems. New York: ACM, pp. 24 - 28.

The final version may be found at: https://doi.org/10.1145/2002375.2002381

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