Abstract:
A mapping system determines points of interest that are related to a selected point of interest within a digital map displayed at a client computing device. The system receives a request for mapping system data from a client computing device. The request indicates a selected point of interest (POI) that is displayed at a geographic location within the digital map. The selected POI corresponds to a list of words describing characteristics of the selected POI, and each word corresponding to the selected POI word includes a base score describing an importance of the word compared to a list of all words corresponding to displayable POIs. The system determines POIs that are related to the selected POI by comparing base scores of the selected POI words to base scores of related POI words, where the related POIs each include at least one word in common with the selected POI.
Abstract:
A query is received from a user via a user device. A geographic area and a category of business for the query are identified. Using reviews related to the geographic area and the category of business from a plurality of users, candidate experts are selected from among the users. For each of the candidate experts, a respective agreement score is determined based on differences between reviews of businesses reviewed by the user and the candidate expert. Personalized experts are selected from among the candidate experts in view of the determined agreement scores. Local search results responsive to the query are ranked using reviews of the local search results by the personalized experts, and the ranked local search are displayed via a user device.
Abstract:
A query is received from a user via a user device. A geographic area and a category of business for the query are identified. Using reviews related to the geographic area and the category of business from a plurality of users, candidate experts are selected from among the users. For each of the candidate experts, a respective agreement score is determined based on differences between reviews of businesses reviewed by the user and the candidate expert. Personalized experts are selected from among the candidate experts in view of the determined agreement scores. Local search results responsive to the query are ranked using reviews of the local search results by the personalized experts, and the ranked local search are displayed via a user device.
Abstract:
A mapping system determines points of interest that are related to a selected point of interest within a digital map displayed at a client computing device. The system receives a request for mapping system data from a client computing device. The request indicates a selected point of interest (POI) that is displayed at a geographic location within the digital map. The selected POI corresponds to a list of words describing characteristics of the selected POI, and each word corresponding to the selected POI word includes a base score describing an importance of the word compared to a list of all words corresponding to displayable POIs. The system determines POIs that are related to the selected POI by comparing base scores of the selected POI words to base scores of related POI words, where the related POIs each include at least one word in common with the selected POI.