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Content recommendation engine for improving information discovery

Content recommendation engine for improving information discovery


SAGE is a leading international publisher of journals, books and products for the academic and professional market. To successfully support the changing needs of the higher education community, SAGE wanted to improve its offering for students and teachers by introducing a new information retrieval feature based on the information deemed most helpful by the community, and useful for further exploration of the most sought after information throughout all of SAGE’s publications.

SAGE deployed expert.ai’s technology to power its SAGE Recommends content recommendation engine, extending findability within the SAGE knowledge base to better support information discovery and connecting concepts across disciplines and content types. SAGE Recommends supports users in the discovery of content of interest by dynamically suggesting relevant journals, data sets and supporting materials from across the SAGE platform.


  • Supports spontaneous content discovery across domains
  • Enhanced search productivity with improved findability
  • Increased customer satisfaction and loyalty

SAGE Recommends is the first to offer a truly cutting-edge search tool for the educational community. The multidisciplinary thesaurus within SAGE Recommends provides contextualized links across multiple disciplines at the point of need, offering the right search recommendations at the right time across all of SAGE’s platforms.