“Give me what I want” - enabling complex queries on rich multi-attribute data

McCulloch, Josie, Wagner, Christian, Bachour, Khaled and Rodden, Tom (2015) “Give me what I want” - enabling complex queries on rich multi-attribute data. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) . pp. 1-9.

Full content URL: http://doi.org/10.1109/FUZZ-IEEE.2015.7337865

“Give me what I want” - enabling complex queries on rich multi-attribute data
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Item Type:Article
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Consumer and more generally, human preferences are highly complex, depending on a multitude of factors, most of which are not crisp, but uncertain/fuzzy in nature. Thus, user selection amongst a set of items is dependent on the complex comparison of items based on a large number of imprecise item-attributes such as price, size, colour, etc. This paper proposes the mechanisms to underpin the digital replication of such complex preference-based item selection with the view to enabling improved digital item search and recommendation systems. For example, a user may query “I would like a product of similar size but at a cheaper price.” The proposed method involves splitting query-attributes into two categories; those to remain similar (e.g., size) and those to be changed in a specific direction (e.g., price - to be lower). A combination of similarity and distance measures is then used to compare and rank recommendations. Initial results are presented indicating that the proposed method is effective at ranking items according to intuition and expected user preferences.

Keywords:Frequency selective surfaces, Open wireless architecture, Fuzzy sets, Weight measurement, Association rules, Student members, Senior members, consumer behaviour, marketing data processing, query processing, recommender systems
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:34893
Deposited On:01 May 2019 09:44

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