Liu et al., 2017 - Google Patents
Related pins at pinterest: The evolution of a real-world recommender systemLiu et al., 2017
View PDF- Document ID
- 8402417858928544703
- Author
- Liu D
- Rogers S
- Shiau R
- Kislyuk D
- Ma K
- Zhong Z
- Liu J
- Jing Y
- Publication year
- Publication venue
- Proceedings of the 26th international conference on world wide web companion
External Links
Snippet
Related Pins is the Web-scale recommender system that powers over 40% of user engagement on Pinterest. This paper is a longitudinal study of three years of its development, exploring the evolution of the system and its components from prototypes to …
- 230000003213 activating 0 abstract description 3
Classifications
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30522—Query processing with adaptation to user needs
- G06F17/3053—Query processing with adaptation to user needs using ranking
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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