Keynote Speakers


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Prof. DR. Tsukasa Hirashima

Hiroshima University

Tentative Title:

EXTERNALIZATION OF THINKING TASK AND LEARNING ANALYTICS WITH PROCESS EVIDENCE

Abstract:

To Be Announced (TBA)


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Prof. DR. Abdurazzag Ali Aburas

University of KwaZulu-Natal

Tentative Title:

BIG DATA: REDUCTION NOT COMPRESSION

Abstract:

To Be Announced (TBA)


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Prof. DR. Anton Satria Prabuwono

King Abdulaziz University

Tentative Title:

To Be Announced (TBA)

Abstract:

To Be Announced (TBA)


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Prof. DR. Halimah Badioze Zaman

Universiti Kebangsaan Malaysia

Tentative Title:

To Be Announced (TBA)

Abstract:

To Be Announced (TBA)


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Prof. Ir. Dwi Hendratmo W., M.Sc., Ph.D.

Institut Teknologi Bandung

Tentative Title:

CONVERSATIONAL RECOMMENDER SYSTEM BASED ON FUNCTIONAL REQUIREMENTS

Abstract:

Conversation Recommender System (CRS) is a system that applies the conversational mechanism between users and systems to refine needs and recommend products. CRS is one of the knowledge based recommender system, where interaction is generated based on the knowledge base of the system. In many studies, CRS interacts with users through product technical specification. For complex products that have many specification, however, not everyone is familiar with the technical features of this product. Thus, the interaction based on functional requirements will make it easier for users. Functional requirements are desired functions of the product that the user wants to buy. This paper will present an overview of our previous works, in developing CRS with interaction based on functional requirements. We use ontology as a knowledge base. CRS is able to mimic the ability of a professional sales support in interacting with users. The user study shows that usefulness of interaction in our CRS is better than that CRS based on product technical feature. Meanwhile, the query refinement mechanism is able to narrow down the average results’ size significantly within 4 interactions (< 6.9%).