A Comparative Analysis on Web Personalization Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7952-0_32
Reference15 articles.
1. Sajeev GP, Ramya PT (2016) Effective web personalization system based on time and semantic relatedness. In: 2016 international conference on advances in computing, communications and informatics (ICACCI), Jaipur, pp 1390–1396. https://doi.org/10.1109/ICACCI.2016.7732242
2. Bharti PM, Raval TJ (2019) Improving web page access prediction using web usage mining and web content mining. In: 2019 3rd international conference on electronics, communication and aerospace technology (ICECA), Coimbatore, India, pp 1268–1273.https://doi.org/10.1109/ICECA.2019.8821950
3. Bibi T, Dixit P, Ghule R, Jadhav R (2014) Web search personalization using machine learning techniques. In: 2014 IEEE international advance computing conference (IACC), Gurgaon, pp 1296–1299.https://doi.org/10.1109/IAdCC.2014.6779514
4. Doddegowda BJ, Raju GT, Manvi SKS (2016) Extraction of behavioral patterns from pre-processed web usage data for web personalization. In: 2016 IEEE international conference on recent trends in electronics, information & communication technology (RTEICT), Bangalore, pp 494–498. https://doi.org/10.1109/RTEICT.2016.7807870
5. Ramesh C, Rao KVC, Govardhan A (2017) Ontology based web usage mining model. In: 2017 international conference on inventive communication and computational technologies (ICICCT), Coimbatore, pp 356–362. https://doi.org/10.1109/ICICCT.2017.7975219
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