TDNet AI’s search capabilities to dynamically adjust the recency of results displayed based on the context of a user’s search query. This goes beyond the general "recency boost” previously applied for ranking the top results – as not all searches benefit from this approach.
Time-Insensitive Topics: where the focus of the search might be on functional knowledge or historical principles, the recency boost filter is turned off.
Highly Time-Sensitive Topics: In searches seeking the latest advancements, AI will apply a stronger recency boost, bringing those published in the past 1-2 years to the top.
This AI Enhancement provides a summary of the top 10 most relevant results with in-line citations of those results.
Once a user selects the needed articles for further analysis, Key Metrics becomes available. This tool provides citation metrics for the journal article selected.
It will highlight the method the article was written, such as a review or Qualitative metrics, whether the articles are peer reviewed, and whether they have been cited.
Synthesizes and cites the most important insights of the articles selected from original results.
Extracts core concepts from selected results and provides follow up terms for further queries.