Image-Based Recommendations on Styles and Substitutes
University of California, San Diego · University of Adelaide
Abstract
Humans inevitably develop a sense of the relationships between objects, some of which are based on their appearance. Some pairs of objects might be seen as being alternatives to each other (such as two pairs of jeans), while others may be seen as being complementary (such as a pair of jeans and a matching shirt). This information guides many of the choices that people make, from buying clothes to their interactions with each other. We seek here to model this human sense of the relationships between objects based on their appearance. Our approach is not based on fine-grained modeling of user annotations but rather on capturing the largest dataset possible and developing a scalable method for uncovering human…
Citation impact
- FWCI
- 72.24
- Percentile
- 100%
- References
- 48
Authors
4Topics & keywords
- Computer science
- Inference
- Clothing
- Scalability
- Matching (statistics)
- Artificial intelligence
- Human–computer interaction
- Data science