Nemni, Orly (A.A. 2021/2022) Implementing serendipity into recommender systems: empirical consequences and effects on customer satisfaction and perceived utility. Tesi di Laurea in Advanced marketing management, Luiss Guido Carli, relatore Marco Francesco Mazzù, pp. 109. [Master's Degree Thesis]

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Abstract/Index

Recommendation systems. An overview of recommendation systems. Techniques. Recommendation algorithms: uses and applications. Recommendation system properties and associated problems. Serendipity, relevance, novelty and unexpectedness. Serendipity-oriented RSs and their classification. Introducing serendipity: challenges and experiments. The importance of serendipity in modern RS. Problem statement: serendipity and marginal utility. Implementing serendipity into recommenders systems, an experiment. Research gap in the existing literature and formulated hypothesis. Research model. Methodology. Findings. Discussion. Limitations and gaps for future research.

References

Bibliografia: pp. 95-97. Sitografia: pp. 98-99.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair:	Advanced marketing management
Thesis Supervisor:	Mazzù, Marco Francesco
Thesis Co-Supervisor:	De Angelis, Matteo
Academic Year:	2021/2022
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	17 Nov 2022 11:48
Last Modified:	17 Nov 2022 11:48
URI:	https://tesi.luiss.it/id/eprint/33923

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