A Conversational Recommender Skill for Conference Content
dc.contributor.advisor | Balog, Krisztian | |
dc.contributor.advisor | Kostic, Ivica | |
dc.contributor.author | Dørheim, Eyvinn Thu | |
dc.contributor.author | Sørensen, Sander Havn | |
dc.date.accessioned | 2022-07-27T15:51:17Z | |
dc.date.available | 2022-07-27T15:51:17Z | |
dc.date.issued | 2022 | |
dc.identifier | no.uis:inspera:93568650:20392212 | |
dc.identifier.uri | https://hdl.handle.net/11250/3008853 | |
dc.description | Full text not available | |
dc.description.abstract | ||
dc.description.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. | |
dc.language | eng | |
dc.publisher | uis | |
dc.title | A Conversational Recommender Skill for Conference Content | |
dc.type | Bachelor thesis |
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Studentoppgaver (TN-IDE) [823]
Studentoppgaver i informasjonsteknologi, datateknikk / kybernetikk, signalbehandling