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 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.

Abstract: A multi-brand loyalty server provides real-time product or service suggestions to customers based on transaction data. The multi-brand loyalty server receives customer information and transaction data from a merchant device(s) located at a merchant subscriber's premises. A loyalty event, such as a promotion or reward for a suggested product or service, is determined based on the transaction data. Information about a suggested merchant and the loyalty event is sent to a mobile device operated by the customer in order to encourage him to make a purchase from the suggested merchant.

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.