Molecular Connections’ Innovative ML Based Topic Alerts For Society Members

Publishing Societies often face challenges arising from an outdated user alert management system, which invariably affects the members’ satisfaction. The need for a robust personalized solution to notify members and users of recent published journal articles and manuscripts that are relevant to them becomes imperative. The key here is to ensure we cater to specific user preferences without any explicit input or overpowering users with hundreds of recommendations.

The client was looking for a solution that alerts members on the most relevant content in the subject of their interest. The solution had to ensure the latest research was covered which included preprint archives.

“We knew we had to find the right partner to collaborate in order to provide an exceptional customer experience,” said the client. To address this problem, Molecular Connections came up with a solution that is sustainable and robust in terms of core capabilities and flexible in terms of content and functionalities.

To learn more about how your business could benefit from our personalized user alert management system backed by an AI module, get in touch with our team.

 

Challenges:

The client needed a completely automated topic-based preference tracker with a feedback inclusion system to act on and update the system with immediate effect.  The users had to be  allowed to enter just keywords or phrases with minimal syntax.

This solution had to support an adaptive workflow system to handle incoming user subscriptions, unsubscribe requests, e-mail tracking, and change management. The entire framework also required Analytics and Decision Aids, which would help the product teams gauge how well their content is being accepted, consumed, and used.

Finally this system had to connect content, user behavior, and simplify approaches used for suggesting relevant alerts.

Solution:

The MC team designed a solution that used  AI modules to make for an excellent, up-to-date, scalable, quick to integrate, and feedback inclusive solution. “The technology is designed to provide an adaptive, high throughput and inclusive solution for user alert and topic preference management offering,” said Loknath the CDO at Molecular Connections.

The robust system included content ingestion that supported high throughput parsers/spiders for content acquisition, transformation, and standardization. The Semantic enrichment module is designed in such a way that ML models and taggers semantically enrich the metadata with relevant concepts, making the data easily discoverable, reusable, and traceable.

We built a Query parser, which uses a natural language parser to identify concepts, contexts, and intentions from user keyword(s) and translate it to a query language that can be used to retrieve content from data lake(s).

It was further augmented with a Mail scheduler and user management module –a secure, fast, and traceable system that can be configured to set up and manage actual alerts to subscribers and members. Lastly, Analytics and Decision aids were incorporated that integrated usage reports and infographics to assess the performance of the system, both qualitatively and quantitatively.

Benefits:

  • Plug and Play content acquisition systems
  • Semantic enrichment with no prior/custom requirement and a provision to plugin custom ontologies/CVs if necessary
  • Scalability – Around 3500 users per week
  • Intelligent Search and Retrieval – With little to no additional inputs from users
  • Integrated workflow components allowing decision support and feedback ingestion
  • Generic core modules that can be easily integrated with existing systems and/or adapted for a wide range of other applications

To learn more about how your business could benefit from our personalized user alert management system backed by an AI module, get in touch with our team.

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