An Evaluation of Diversification Techniques

Diversification is a method of improving user satisfaction by increasing the variety of information shown to user. Due to the lack of a precise definition of information variety, many diversification techniques have been proposed. These techniques, however, have been rarely compared and analyzed under the same setting, rendering a ‘right’ choice for a particular application very difficult. Addressing this problem, this paper presents a benchmark that offers a comprehensive empirical study on the performance comparison of diversification. Specifically, we integrate several state-of-the-art diversification algorithms in a comparable manner, and measure distinct characteristics of these algorithms with various settings. We then provide in-depth analysis of the benchmark results, obtained by using both real data and synthetic data. We believe that the findings from the benchmark will serve as a practical guideline for potential applications.


Published in:
Lecture Notes in Computer Science, 9262, 215-231
Presented at:
Database and Expert Systems Applications - 26th International Conference, DEXA 2015, Valencia, Spain, September 1-4, 2015
Year:
2015
Publisher:
Springer
ISSN:
0302-9743
Laboratories:




 Record created 2015-09-08, last modified 2018-03-17

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