Abstract
Content subscriptions are a useful way for a search engine to maintain user engagement. However, generating and providing content updates regarding topics of interest based on knowledge repositories can be expensive. Further, updates generated in this manner can be too infrequent, providing an unsatisfactory user experience. This disclosure describes the automated analysis and use of fresh web content related to topics of interest to generate and deliver updates to subscribers. Fresh web content is analyzed, e.g., using a natural language classifier, to determine the topic and type of content. Updates are generated based on specific content types known to be of user interest and are provided to the user. The use of fresh content and filtering to certain content types ensures that the updates are timely, relevant, and interesting to the user.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Lim, Yew Jin; Kunz, James; Dreyfus, Jon; Monico, Mauricio; Feng, Tao; and Palem, Maya, "Using Fresh Web Content To Generate Subscribable Search Notifications", Technical Disclosure Commons, (May 29, 2020)
https://www.tdcommons.org/dpubs_series/3280