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Fashion Recommendation Systems
Image-based fashion recommendation systems (FRSs) have attracted a huge amount of attention from fast fashion retailers as they provide a personalized shopping experience to consumers. With the technological advancements, this branch of artificial intelligence exhibits a tremendous amount of potential in image processing, parsing, classification, and segmentation.
2. History and Overview of Recommendation System
Recommendation System Approach
Mafia, developed in 1990
1992 to 1998
Tapestry, developed in 1992
Grouplens, first used in 1994
Movielens, proposed in 1997
1999 to 2005
PLSA (Probabilistic Latent Semantic Analysis), proposed in 1999
2005 to 2009
Several Latent Factor Models such as Singular Value Decompositions (SVD), Robust Singular Value Decomposition (RSVD), Normalized Singular Value Deviation (NSVD).
2010 to onwards
3. Channels of Scholarly Dissemination Related to Fashion Recommendation System (FRS)
4. Metrics Used in Fashion Recommendation System Evaluation
5. Fashion Recommendation System (FRS), Algorithmic Models and Filtering Techniques
The entry is from 10.3390/informatics8030049
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