Search Results for author: Oznur Alkan

Found 5 papers, 0 papers with code

User Profiling from Reviews for Accurate Time-Based Recommendations

no code implementations15 Jun 2020 Oznur Alkan, Elizabeth Daly

However, temporal aspects of a user profile may not always be explicitly available and so we may need to infer this information from available resources.

Recommendation Systems

IRF: Interactive Recommendation through Dialogue

no code implementations3 Oct 2019 Oznur Alkan, Massimiliano Mattetti, Elizabeth M. Daly, Adi Botea, Inge Vejsbjerg

Recent research focuses beyond recommendation accuracy, towards human factors that influence the acceptance of recommendations, such as user satisfaction, trust, transparency and sense of control. We present a generic interactive recommender framework that can add interaction functionalities to non-interactive recommender systems. We take advantage of dialogue systems to interact with the user and we design a middleware layer to provide the interaction functions, such as providing explanations for the recommendations, managing users preferences learnt from dialogue, preference elicitation and refining recommendations based on learnt preferences.

An Evaluation Framework for Interactive Recommender System

no code implementations16 Apr 2019 Oznur Alkan, Elizabeth M. Daly, Adi Botea

Interactive recommender systems present an opportunity to engage the user in the process by allowing them to interact with the recommendations, provide feedback and impact the results in real-time.

Recommendation Systems

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