Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: The field of the invention relates to methods, servers and computer program products for inferring which fare classes are available. There is provided a method of inferring fare class availability for a specific flight or flights by: (a) receiving observable, live bookable prices for that flight(s), in which that price information is not accompanied by complete fare class information for those flight(s); (b) comparing the observable, live bookable prices with a set of prices calculated from stored data, such as valid itinerary data, fare data such as FROP data, and tax/surcharge data; and (c) determining which fare class was used in the observable live bookable price by determining which fare class was used in the calculated price that matches most closely to the observable live bookable price.

Abstract: There is provided a computer-implemented method of providing a set of alternative search results, the method including the steps of: (i) receiving a search request; (ii) searching a database to provide a first set of a plurality of search results, each search result including a plurality of attributes; (iii) identifying a best search result as the initially highlighted result; (iv) providing the highlighted search result for display; (v) receiving a selection of an attribute in the highlighted search result; (vi) providing the set of alternative search results, in which the selected attribute is varied with respect to the highlighted search result, and (vii) providing the set of alternative search results for display. Related computer program products, servers and systems are also provided.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: There is provided a computer-implemented method of providing a set of alternative search results, the method including the steps of: (i) receiving a search request; (ii) searching a database to provide a first set of a plurality of search results, each search result including a plurality of attributes; (iii) identifying a best search result as the initially highlighted result; (iv) providing the highlighted search result for display; (v) receiving a selection of an attribute in the highlighted search result; (vi) providing the set of alternative search results, in which the selected attribute is varied with respect to the highlighted search result, and (vii) providing the set of alternative search results for display. Related computer program products, servers and systems are also provided.

Abstract: In a computer system, systems and methods for automatically answering natural language questions using deep semantics are provided. Methods include receiving a natural language question, mapping it into one or more deductive database queries that captures one or more intents behind the question, computing one or more result sets of the question using one or more deductive database queries and a deductive database and providing one or more result sets. Systems include natural language question compilers and deductive databases. The natural language question compiler is configured to receive a natural language question and map it into one or more deductive database queries that capture one or more intents behind the question. The deductive database is configured to receive the mapped one or more deductive database queries, compute one or more result sets of the question using the one or more deductive database queries, and provide one or more result sets.

Abstract: The field of the invention relates to methods, servers and computer program products for providing a set of prices. A computer server receives a request for a price for goods or services, such as airfares, together with parameters defining those goods or services, for example: activity type, such as airfare, hotel booking, train fare; date range; destination; origin; desired weather conditions; star ratings; keywords; any other user defined preference. One or more processors programmed with software then infer, estimate or predict estimated prices from an incomplete historical price dataset by analysing patterns in that dataset and provide the price estimates to an end-user computing device, such as a personal computer, smartphone or tablet.

Abstract: A travel system generates and provides content recommendations to a user of the travel system. The travel system identifies content categories that are likely to be of interest to the user of the travel system based on context characteristics of the user such as whether the user is a traveler or a local at a particular geographic location. Additionally, the travel system further identifies content objects (e.g., attractions, activities, events, restaurants, businesses, and the like) for each identified content category that are likely to be of interest to the user based on characteristics of each content object. The identified content categories and content objects are provided as content recommendations for display to a user of the travel system, enabling a user to quickly navigate between content categories and content objects within each content category.

Abstract: The field of the invention relates to methods and systems for comparing goods or services from websites, databases or other on-line resources. The field of the invention includes related servers, user terminals and computer program products. There is provided a method of comparing goods and/or services from one or more websites or other on-line resource(s) in which a multi-objective optimization process is used to identify a set of specific goods and/or services that optimally match user-defined and/or user-associated criteria and then that set of specific goods and/or services is displayed on an end-user's computing device to enable the end-user to view that set and optionally purchase one or more items from that set.

Abstract: The field of the invention relates to methods, servers and computer program products for providing a set of prices. A computer server receives a request for a price for goods or services, such as airfares, together with parameters defining those goods or services, for example: activity type, such as airfare, hotel booking, train fare; date range; destination; origin; desired weather conditions; star ratings; keywords; any other user defined preference. One or more processors programmed with software then infer, estimate or predict estimated prices from an incomplete historical price dataset by analysing patterns in that dataset and provide the price estimates to an end-user computing device, such as a personal computer, smartphone or tablet.