TY - M-10064
AU - Vaz, Lucca Ferraz
AU - Gropelli, Roberto
TI - Developing an Adaptive Feed Algorithm: A Case Study
T2 - Scientific Research Journal of Science, Engineering and Technology

PY - 2023
VL - 1
IS - 2
SN - 2584-0584

AB - This case study delves into the evolution
of a feed algorithm for Company X, a social media platform aiming to enhance
user engagement. The transition from a chronological feed to a personalized and
dynamic algorithm involved a multifaceted approach. Key objectives included
personalization, relevance, diversity, and real-time adaptability. The process
involved data collection, content analysis, user behavior modeling,
collaborative filtering, dynamic ranking, and A/B testing. Challenges, such as
data privacy, algorithm bias, and scalability, were addressed through
anonymization, diversity incorporation, and scalable infrastructure. The
results demonstrated a substantial increase in user engagement, affirming the
efficacy of the adaptive feed algorithm. This case study underscores the
importance of a holistic and iterative approach to algorithm development for
sustained user satisfaction in the digital content landscape.

KW - Feed Algorithm
KW -  Personalization
KW -  Relevance
KW -  Data Collection
KW -  Collaborative Filtering
KW -  Dynamic Ranking
KW -  User Engagement
DO -