Personalised Diversification Using Intent-Aware Portfolio
|Title:||Personalised Diversification Using Intent-Aware Portfolio||Authors:||Wasilewski, Jacek
Hurley, Neil J.
|Permanent link:||http://hdl.handle.net/10197/9031||Date:||21-Jul-2017||Abstract:||The intent-aware diversification framework considers a set of aspects associated with items to be recommended. A baseline recommendation is greedily re-ranked using an objective that promotes diversity across the aspects. In this paper the framework is analysed and a new intent-aware objective is derived that considers the minimum variance criterion, connecting the framework directly to portfolio diversification from finance. We derive an aspect model that supports the goal of minimum variance and that is faithful to the underlying baseline algorithm. We evaluate diversification capabilities of the proposed method on the MovieLens dataset.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||ACM||Copyright (published version):||2017 ACM||Keywords:||Recommender Systems||DOI:||10.1145/3099023.3099067||Language:||en||Status of Item:||Peer reviewed||Is part of:||Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization||Conference Details:||UMAP '17 Adjunct Publication of The 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia|
|Appears in Collections:||Insight Research Collection|
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