Image ranking based on user browsing behavior
By Michele Trevisiol, Luca Chiarandini, Luca Maria Aiello, Alejandro Jaimes. 2012
25 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Tao Mei
- Ting Yao
- Yingwei Pan
- Anton van den Hengel
- Yong Rui
- Chong-Wah Ngo
- Houqiang Li
- Javen Qinfeng Shi
In Computer Vision and Pattern Recognition
Citations in the corpus
- Image-Based Recommendations on Styles and Substitutes (2015, background): “The system shares these characteristics with more common forms of recommender system, but does so on the basis of the appearance of the object, rather than metadata, reviews, or similar.”
- Chic or Social: Visual Popularity Analysis in Online Fashion Networks (2014, unknown): “Social influence on popularity seen in these studies is also consistent with social browsing behavior on Flickr [11, 17].”
- Click-through-based cross-view learning for image search (2014, methodology): “Later in [27], an in-depth analysis of several ranking algorithms was performed on Flickr user log data to investigate the importance of many factors, including internal and external image popularity, the overall attentions, diversity, semantic categories and visual appearance.”