6 results about "Re ranking" patented technology

A technique for predicting and recommending service offerings includes obtaining an initial dataset related to a user interaction with an online recommendation system during a user online session, generating a predicted intent of the user online session, and generating an initial set of recommendations based on the predicted intent of the user online session. The technique includes ranking the initial set of recommendations to generate a set of ranked recommendations, generating a predicted sequence of actions of the user, and determining that the ranked set of recommendations are to be re-ranked into a re-ranked set of recommendations. The technique includes generating a semantically customized ranked set of recommendations using at least one of the ranked set of recommendations or the re-ranked set of recommendations and providing the semantically customized ranked set of recommendations to the user.

A system and method for augmented semantic search, including: a vector store including a set of embeddings, each representing a structured data representation of a media perspective of a media item; a query execution service including functionality to receive a search request including a query string from a client application; a query classification service including functionality to execute a first machine learning model to generate a classification object in a structured classification format; a filter extraction service including functionality to execute a second machine learning model to generate a filter object including a set of filters in a structured filter format; a recaller service including functionality to: execute an encoder model on the input query and execute a vector similarity operation on the query embedding to generate a result set; and a re-ranking service including functionality to: execute a large language model to re-rank the result set.

There is provided a system for retrieving and analyzing news articles for a company. The news articles may be converted and stored in a vector database. The vector database may be queried based on environmental, social and governance factors and metrics which are the most material to that company. Articles with the highest similarity scores in the vector database may be summarized. Summarized articles may be reranked based on the similarity between a metric and factor. New headlines for highest-ranked articles may be generated together with a rationale on why the article had a high similarity score.

Embodiments of the present disclosure provide a method, device, and medium for ranking objects. The method comprises ranking a set of objects according to a predetermined policy. The method further comprises obtaining a set of object embeddings of the set of objects. The method further comprises determining a plurality of similarity scores based on the set of object embeddings. In addition, the method further comprises re-ranking the ranked set of objects based on the plurality of similarity scores for display.

A device may include a processor. The processor may be configured to: receive a request to re-rank a list of ranked agents or callers; when there are more agents than callers, generate a list of re-ranked agents based on the list of ranked agents; and provide the list of re-ranked agents to a component in a system for routing calls to one of agents identified in the list of re-ranked agents.