Τεχνικές ανάπτυξης συστημάτων συστάσεων με βάση πληροφορία από κοινωνικά δίκτυα
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Keywords
Recommendation systems ; Social media dataAbstract
This diploma thesis presents a recommendation system that
exploits the information available on social networks. This kind of
information is available in known such systems and which can add extra
dimensions to behavioral analysis, proposals and interaction among users for
the most accurate suggestions. In addition, an analysis is made of the
features available in these systems and which could affect the results. A
detailed architectural description of the system, the sources of the initial
information as well as any migration and the evaluation of the system were
presented.
For the latter, it examines the system performance as well as an attempt to
sample optimization of the enhancement factors of these features in the
model while the use of the API allows the dynamic change of the parameters
from an external system that could be based on the results at optimal
parametric values.
Finally, there are trends leading to conclusions and suggestions for future
work such as use of distributed system for parallel and faster processing of
more sparse data sets.
Postgraduate Studies Programme
Προηγμένα Συστήματα ΠληροφορικήςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
100Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού 4.0 Διεθνές
Αναφορά Δημιουργού 4.0 Διεθνές