Abstract: Various aspects provide large receive offload (LRO) functionality for a system on chip (SoC). A classifier engine is configured to classify one or more network packets received from a data stream as one or more network segments. A first memory is configured to store one or more packet headers associated with the one or more network segments. At least one processor is configured to receive the one or more packet headers and generate a single packet header for the one or more network segments in response to a determination that a gather buffer that stores packet data for the one or more network segments has reached a predetermined size.

Abstract: Various aspects of the present disclosure provide for a system that is able to boot from a variety of media that can be connected to the system, including SPI NOR and SPI NAND memory, universal serial bus (“USB”) devices, and devices attached via PCIe and Ethernet interfaces. When the system is powered on, the system processor is held in a reset mode, while a microcontroller in the system identifies an external device to be booted, and then copies a portion of boot code from the external device to an on-chip memory. The microcontroller can then direct the reset vector to the boot code in the on-chip memory and brings the system processor out of reset. The system processor can execute the boot code in-place on the on-chip memory, which initiates the system memory and the second stage boot loader.

Abstract: A recommendation server provides product or service suggestions to a user based on transaction and location data. The recommendation server receives transaction data from a merchant device operated by a merchant affiliate. The transaction data contains information that is used to identify a suggested product or service. A search vicinity is determined based on the location of the merchant affiliate and the suggested product or service. A suggested merchant is determined that is located within the search vicinity, and that sells the suggested product or service. Information about the suggested merchant and the suggested product or service is sent to a user device operated by the user in order to encourage them to make a purchase from the suggested merchant.

Abstract: A geo-search server receives a query from a user device operated by a user and determines candidate locations that may be associated with the query based on the text of the query, using a geodata index. The geodata index contains information about location names and the geo-locations associated with those names. A relevance score is generated for each candidate location and a target location is selected based on the relevance scores. A query classification is determined based on the query, using a domain index, and query response candidates are selected from a content index based on the target location and the query classification. A relevance score is generated for each of the query response candidates, and a query response is selected based on the relevance scores. The query response is sent to the user device.

Abstract: A classified ads server receives a search query from a mobile device operated by a user. The search query is parsed and a plurality of tokens is extracted from the search query. A query classification is determined based on the query, using a domain index, and query response candidates are selected from a content index based on the search query tokens and the query classification. A relevance score is generated for each of the query response candidates, and a classified ad is selected based on the relevance scores. The classified ad is sent to the user device.