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A Conversational Recommender Skill for Conference Content

Havn-Sørensen, Sander; Thu Dørheim, Eyvinn
Bachelor thesis
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URI
https://hdl.handle.net/11250/3009011
Date
2022
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  • Studentoppgaver (TN-IDE) [821]
Description
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Abstract
Conversational information access systems aim to assist users in task-oriented exchanges

of information in a conversational manner. Supporting multiple user goals, such as

informational search, recommendation and exploratory information gathering.

This thesis presents the implementation and development cycle of a conversational

recommender skill for conference content, an instance of a conversational information

access system. The project is a part of a larger one, with the final goal to produce a

product to be available as a conversation conference assistant at the European Conference

on Information Retrieval (ECIR) in April 2022. The skill features rich responses, making

use of multi-modality in the form of an external screen.
 
Conversational information access systems aim to assist users in task-oriented exchanges

of information in a conversational manner. Supporting multiple user goals, such as

informational search, recommendation and exploratory information gathering.

This thesis presents the implementation and development cycle of a conversational

recommender skill for conference content, an instance of a conversational information

access system. The project is a part of a larger one, with the final goal to produce a

product to be available as a conversation conference assistant at the European Conference

on Information Retrieval (ECIR) in April 2022. The skill features rich responses, making

use of multi-modality in the form of an external screen.
 
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