Text mining and web usage mining for web-based recommender systems
This project investigates the application of Text Mining and Web Usage Mining techniques to overcome the drawbacks of traditional recommender systems. Two recommender engines are proposed to deal with the information overload problem. A Text Mining-based recommender engine performs its recommendatio...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | Theses and Dissertations |
| منشور في: |
2008
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10356/5918 |
| الوسوم: |
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| المؤسسة: | Nanyang Technological University |
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sg-ntu-dr.10356-5918 |
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sg-ntu-dr.10356-59182023-03-11T17:14:39Z Text mining and web usage mining for web-based recommender systems Ashwin Ravi Ittoo. Jiao Jianxin, Roger School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Information systems This project investigates the application of Text Mining and Web Usage Mining techniques to overcome the drawbacks of traditional recommender systems. Two recommender engines are proposed to deal with the information overload problem. A Text Mining-based recommender engine performs its recommendation functions by employing text mining techniques to learn product information, and a Web Usage Mining-based recommender engine employs patterns on customers' behaviors, which are extracted from Web usage data, to perform the recommendation functions. Master of Science (Computer Integrated Manufacturing) 2008-09-17T11:02:22Z 2008-09-17T11:02:22Z 2006 2006 Thesis http://hdl.handle.net/10356/5918 Nanyang Technological University application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| topic |
DRNTU::Engineering::Industrial engineering::Information systems |
| spellingShingle |
DRNTU::Engineering::Industrial engineering::Information systems Ashwin Ravi Ittoo. Text mining and web usage mining for web-based recommender systems |
| description |
This project investigates the application of Text Mining and Web Usage Mining techniques to overcome the drawbacks of traditional recommender systems. Two recommender engines are proposed to deal with the information overload problem. A Text Mining-based recommender engine performs its recommendation functions by employing text mining techniques to learn product information, and a Web Usage Mining-based recommender engine employs patterns on customers' behaviors, which are extracted from Web usage data, to perform the recommendation functions. |
| author2 |
Jiao Jianxin, Roger |
| author_facet |
Jiao Jianxin, Roger Ashwin Ravi Ittoo. |
| format |
Theses and Dissertations |
| author |
Ashwin Ravi Ittoo. |
| author_sort |
Ashwin Ravi Ittoo. |
| title |
Text mining and web usage mining for web-based recommender systems |
| title_short |
Text mining and web usage mining for web-based recommender systems |
| title_full |
Text mining and web usage mining for web-based recommender systems |
| title_fullStr |
Text mining and web usage mining for web-based recommender systems |
| title_full_unstemmed |
Text mining and web usage mining for web-based recommender systems |
| title_sort |
text mining and web usage mining for web-based recommender systems |
| publishDate |
2008 |
| url |
http://hdl.handle.net/10356/5918 |
| _version_ |
1761781404036759552 |