Abstract: This disclosure relates to a content cluster system that provides a framework for leveraging large language models (LLMs) to tag content items (e.g., interactive multimedia content items, such as gaming content items) with attribute tags and, based on attribute tags for related content items, generating cluster descriptions of a cluster of content items. Features of the content cluster system involve tagging content items, determining multi-dimensional embeddings for the content items, and clustering the content items based on proximity of values contained within the multi-dimensional embeddings. The content cluster system may further utilize the LLM to generate one or more cluster descriptions based on the associated tags to create a more creative and dynamic representation of related groupings of titles (e.g., gaming titles). By utilizing LLMs and machine learning resources, the content cluster system provides a scalable approach to conventional approaches in determining and presenting groupings of titles.

Abstract: A method and a system for automatically collecting multiple information of a tunnel during construction period are provided. A detection point and a detection line are formed by projecting a light source on the inner wall of the tunnel, and then the pixel position changes of the areas where the detection point and the detection line are located in different time periods are recorded by a measuring camera, and the detection point and the detection line are integrated and corrected with tunnel point cloud data as a reference standard to form an accurate four-dimensional model of the tunnel.

Abstract: A method for providing recommendations to a user includes assigning one or more item tags from a known set of tags to one or more items of a plurality of items; assigning one or more user tags from the known set of tags to a user; determining at least one taste cluster having one or more cluster tags from the known set of tags, wherein the taste cluster shares at least one shared tag with the one or more user tags and with the one or more item tags; affiliating at least one item of the plurality of items with the taste cluster based on the shared tag; affiliating the user with the taste cluster based on the shared tag; and presenting to the user at least one presented item of the plurality of items affiliated with the taste cluster.