Institutional Repository | Satya Wacana Christian University: Recommender System for Mobile Phone Selection applying Extended Weighted Tree Similarity Algorithm T1 672007238 BAB V
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
application.
system
44
with
E-Commerce
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
application.
system
44
with
E-Commerce