Time Aware Recommendation
| Autor: | Rachida Ajhoun, Alaoui Sara, Younes El Bouzekri El Idrissi |
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| Rok vydání: | 2016 |
| Předmět: |
Relation (database)
Computer science business.industry media_common.quotation_subject Service discovery Context (language use) 02 engineering and technology Recommender system 01 natural sciences World Wide Web 020204 information systems 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Time awareness Quality (business) The Internet 010306 general physics Adaptation (computer science) business media_common |
| Zdroj: | 2016 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M). |
| DOI: | 10.1109/ict4m.2016.057 |
| Popis: | The overload of information can become a significant challenge in relation to information retrieval systems. Often users will need to carry out extensive research to get the information they desire. This issue will only become more challenging as the quantity of data available on the internet increases. This increase shows no signs of slowing down and inevitably demands better solutions. One such solution proposed in this paper will look at the quality of the service discovery, such as adaptation customizing recommendation. In our project we considered ways to customize the contextual recommendation by creating a time awareness system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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