Institutional Repository | Satya Wacana Christian University: Recommender System for Mobile Phone Selection applying Extended Weighted Tree Similarity Algorithm T1 672007238 BAB V

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Chapter 5

Conclusion and Future Works

5.1 Conclusion

From discussion result in chapter 4, there are 2 conclusions from this research:

 Extended Weighted Tree Similarity can be applied to recommender system using Document class in Java

 The quality of this recommender system can measured using Clinical Software Analysis.

5.2 Future Works

Suggestion for the next research:

 Added database to the system to accommodate the detail specification of mobile phone and display it on combo box in the form. So, the users just need to choose one of the items and don not need to type.

 Crawl to more than one website to collect completer information about the mobile phone.

 Apply this system to more than one kind of items, not just for mobile phone such as clothes, rides or other electronic device.

 Combine this system with E-Commerce