Extending self-organizing maps with ranking awareness
| Název práce v češtině: | Rozšíření self-organizing maps o ranking awareness |
|---|---|
| Název v anglickém jazyce: | Extending self-organizing maps with ranking awareness |
| Klíčová slova: | self-organizing map|relevence feedback|known-item search |
| Klíčová slova anglicky: | self-organizing maps|multicriterial optimization|ranking awareness |
| Akademický rok vypsání: | 2020/2021 |
| Typ práce: | bakalářská práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra softwarového inženýrství (32-KSI) |
| Vedoucí / školitel: | Mgr. Ladislav Peška, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 02.06.2021 |
| Datum zadání: | 13.06.2021 |
| Datum potvrzení stud. oddělením: | 16.07.2021 |
| Datum a čas obhajoby: | 12.09.2022 09:00 |
| Datum odevzdání elektronické podoby: | 21.07.2022 |
| Datum odevzdání tištěné podoby: | 25.07.2022 |
| Datum proběhlé obhajoby: | 12.09.2022 |
| Oponenti: | doc. RNDr. Jakub Lokoč, Ph.D. |
| Zásady pro vypracování |
| The thesis is research oriented. The task is to propose and evaluate methods that can combine self-organizing maps (SOM) with some externally supplied ranking or rating of objects. The main motivation comes the domain of interactive image/video search, where it is important to provide results ordered w.r.t. relevance to some query, but also group similar results together, so that the result grid is easily observed. Student will first explore, whether there are some existing approaches to the problem area (and eventually include them into the evaluation). Then, the main task is to propose several alternatives to handle the task and evaluate them. The evaluation should be conducted on some appropriate dataset of image/video search and incorporate metrics aiming at the ability to group similar objects together as well as metrics evaluating the ability to maintain reasonable rating/ranking of objects. |
| Seznam odborné literatury |
| Kohonen, T. (2012). Self-organizing maps (Vol. 30). Springer Science & Business Media.
Yin, Hujun. (2008). The Self-Organizing Maps: Background, Theories, Extensions and Applications. Nürnberger A., Detyniecki M. (2005) Adaptive Multimedia Retrieval: From Data to User Interaction. Forest, F., Lebbah, M., Azzag, H., & Lacaille, J. (2020). A Survey and Implementation of Performance Metrics for Self-Organized Maps. K. Chandramouli, T. Kliegr, J. Nemrava, V. Svatek and E. Izquierdo (2008) Query Refinement and user Relevance Feedback for contextualized image retrieval Gregory T. Breard (2017) Evaluating Self-Organizing Map Quality Measures as Convergence Criteria Ladislav Peška, František Mejzlík, Tomáš Souček, and Jakub Lokoč (2020) Towards Evaluating and Simulating Keyword Queries for Development of Interactive Known-item Search Systems. |