Context aware app recommendation using email semantic analysis
Email is a kind of electronic tool that people used to exchange message. There are many functionalities such as spam filt ering, categories section, malicious email identification and etc are available in the email application that had been launched in the existing market. In order to increase th...
| Main Author: | |
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/3444/ http://eprints.utar.edu.my/3444/1/fyp_IA_2019_TZC_1505224.pdf |
| _version_ | 1848885903237316608 |
|---|---|
| author | Tang, Zi Cong |
| author_facet | Tang, Zi Cong |
| author_sort | Tang, Zi Cong |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | Email is a kind of electronic tool that people used to exchange message. There are many
functionalities such as spam filt ering, categories section, malicious email identification
and etc are available in the email application that had been launched in the existing
market. In order to increase the functionalities for the email application and further
enhance the user experien ce, it is proposed to develop a recommendation system to
work with the email application that provide s a recommendation based on the email
content. This mean s that people can easily receive some recommendation for their next
action from the email applicati on based on the email the y received. The
recommendation system is planned to develop by using data mining and machine
learning. The email content as the raw data and sent to the test mining to perform text
classification and category the data into differen t categories. Then the da ta will go
through the machine learning algorithm to perform predict and provide a
recommendation that suitable for the content. |
| first_indexed | 2025-11-15T19:29:59Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-3444 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:29:59Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-34442019-08-06T07:15:28Z Context aware app recommendation using email semantic analysis Tang, Zi Cong T Technology (General) TA Engineering (General). Civil engineering (General) Email is a kind of electronic tool that people used to exchange message. There are many functionalities such as spam filt ering, categories section, malicious email identification and etc are available in the email application that had been launched in the existing market. In order to increase the functionalities for the email application and further enhance the user experien ce, it is proposed to develop a recommendation system to work with the email application that provide s a recommendation based on the email content. This mean s that people can easily receive some recommendation for their next action from the email applicati on based on the email the y received. The recommendation system is planned to develop by using data mining and machine learning. The email content as the raw data and sent to the test mining to perform text classification and category the data into differen t categories. Then the da ta will go through the machine learning algorithm to perform predict and provide a recommendation that suitable for the content. 2019-04-22 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/3444/1/fyp_IA_2019_TZC_1505224.pdf Tang, Zi Cong (2019) Context aware app recommendation using email semantic analysis. Final Year Project, UTAR. http://eprints.utar.edu.my/3444/ |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) Tang, Zi Cong Context aware app recommendation using email semantic analysis |
| title | Context aware app recommendation using email semantic analysis
|
| title_full | Context aware app recommendation using email semantic analysis
|
| title_fullStr | Context aware app recommendation using email semantic analysis
|
| title_full_unstemmed | Context aware app recommendation using email semantic analysis
|
| title_short | Context aware app recommendation using email semantic analysis
|
| title_sort | context aware app recommendation using email semantic analysis |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utar.edu.my/3444/ http://eprints.utar.edu.my/3444/1/fyp_IA_2019_TZC_1505224.pdf |