J J Rocchio’s scientific contributions

... A practical implementation of this idea is offered by tools like Dimension IMportance Estimators (DIMEs), which rank dimensions in the latent space by their importance and retain only the most relevant ones. DIMEs compute importance scores for each dimension based on a relevant feedback document, using methods such as Pseudo-Relevance Feedback (PRF) [33,39] and Large Language Models (LLM) [10,15,29,31]. In the PRF-based DIME approach, the embeddings of the top-ranked documents-retrieved from the corpus using similarity measures like cosine similarity or the inner product-are averaged to form the pseudo-relevant document representation. ...

Reference:

ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval