Data analysis for recommender systems
With the growing amount of information online, recommender systems are used widely as a strategic approach to address the issue of information overload. They are present in our everyday lives. Recommender systems help us in easing our decision-making process. They make recommendations based on our p...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/145164 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | With the growing amount of information online, recommender systems are used widely as a strategic approach to address the issue of information overload. They are present in our everyday lives. Recommender systems help us in easing our decision-making process. They make recommendations based on our preferences. Research have been conducted in this area, they cover different industries and topics. However, we often wonder how well the authors understand about the research problem through analyzing the datasets used in the experiments. The purpose of this FYP is to study about the researchers’ understanding of the data that they used in conducting their experiments. This study is conducted by surveying relevant research papers in this area. |
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