Authors :
Astrit Desku
Volume/Issue :
Volume 7 - 2022, Issue 3 - March
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3KkSMB1
DOI :
https://doi.org/10.5281/zenodo.6496507
Abstract :
Recommender Systems are software tools
that can assist developers with a wide range of activities,
from reusing codes to suggest developers what to do
during development of these systems. All recommender
systems should exert one or three of future
functionalities: Gathering Data and Creating Dataset,
Static Analysis and Recommendation to user-by-user
interface. In this paper, we have presented a literature
review in the field of recommender systems. Papers are
aggregating by their context in three main groups:
Mechanism to Collect Data, Recommendation Engine to
Analyze Data and Generate Recommendations and
User Interface to Deliver Recommendations. In the
conclusion are presented number of reviewed paper for
each category
Keywords :
Recommender Systems, Machine Learning, Software Engineering, Data Mining Techniques, Control Flow Graphs.
Recommender Systems are software tools
that can assist developers with a wide range of activities,
from reusing codes to suggest developers what to do
during development of these systems. All recommender
systems should exert one or three of future
functionalities: Gathering Data and Creating Dataset,
Static Analysis and Recommendation to user-by-user
interface. In this paper, we have presented a literature
review in the field of recommender systems. Papers are
aggregating by their context in three main groups:
Mechanism to Collect Data, Recommendation Engine to
Analyze Data and Generate Recommendations and
User Interface to Deliver Recommendations. In the
conclusion are presented number of reviewed paper for
each category
Keywords :
Recommender Systems, Machine Learning, Software Engineering, Data Mining Techniques, Control Flow Graphs.
