Abstract: A system and method to provide adaptively re-ranked search results in response to a search query. An initial ranking of search results associated with a search query cluster including a first search query and a second search query is established. One or more model parameters associated with the first search query are identified. A machine-learning model generates a re-ranking of the search results based at least in part on the initial ranking and the one or more model parameters. In response to receiving the second search query from an end-user system, causing a display of the re-ranking of the search results to the end-user system.

Abstract: Systems, methods, and computer-readable storage media for receiving data at a computer system, wherein the data has a plurality of rows; receiving, from a user at the computer system, a description of a task associated with the data; receiving, from the user at the computer system, a plurality of example transformations; combining, via at least one processor of the computer system, the task description together with the plurality of example transformations and input and output labels, resulting in a prompt; executing, via the at least one processor, a machine learning model, wherein the prompt is an input to the machine learning model, and wherein output of the machine learning model comprises an algorithm for executing the task; and executing, via the at least one processor, the task on the data using the algorithm.

Abstract: A system and method to provide adaptively re-ranked search results in response to a search query. An initial ranking of search results associated with a search query is established. A query identifier associated with the search query received from an end-user system is identified. Based on the query identifier, a set of model parameters associated with the search query are identified. In response to receiving the search query, using a machine-learning model, a re-ranking of the search results based at least in part on the set of model parameters and the initial ranking of the search results is determined. The re-ranked search results are provided to the end-user system.

Abstract: A system and method to provide adaptively re-ranked search results in response to a search query. An initial ranking of search results associated with a search query is established. A query identifier associated with the search query received from an end-user system is identified. Based on the query identifier, a set of model parameters associated with the search query are identified. In response to receiving the search query, using a machine-learning model, a re-ranking of the search results based at least in part on the set of model parameters and the initial ranking of the search results is determined. The re-ranked search results are provided to the end-user system.