Search by Example

The concept presents a visual approach for a similarity search in a financial product scenario and is created for users with low domain expertise, who cannot express their information need with filters. The user starts the search with a given example of one financial product on the left-hand side and gets more information about its properties, such as risk, maturity and other special features for this single product. Then the user can decide for each attribute if this criterion is important and can select and deselect them, which influences the similarity algorithm.


The prototype is developed in HTML5, CSS, and JavaScript and uses the visualization library D3.js.

Related Publications

Mandy Keck, Martin Herrmann, Dana Henkens, Severin Taranko, Viet Nguyen, Fred Funke, Steffi Schattenberg, Andreas Both, Rainer Groh: Visual Innovations for Product Search Interfaces. 44. Jahrestagung der Gesellschaft für Informatik, Informatik 2014, Big Data - Komplexität meistern, GI-Jahrestagung 2014, Stuttgart, Germany, 2014, (1st International Workshop on Future Search Engines at INFORMATIK 2014).


This research has been supported by the European Union and the Free State Saxony through the European Regional Development Fund (ERDF). The concept was developed in the project VISEA that has been conducted in cooperation of the Chair of Media Design -Technische Universität in Dresden, Unister GmbH from Leipzig and queo GmbH from Dresden, Germany.