Abstract: A system for displaying product information to a customer is described herein. The system includes a database and a server including a processor. The processor is programmed to receive a search query including a plurality of search terms via a computing device. The processor selects a search term from the plurality of search terms and determines an optionalization probability associated with the selected search term. The processor generates a search request as a function of the search query and determines whether to retain the selected search term with the search request as a function of the optionalization probability. The processor retrieves product records from the database as a function of the search request, and generates and displays a product search result including product information associated with the retrieved product records.

Abstract: Online spelling correction/phrase completion is described herein. A computer-executable application receives a phrase prefix from a user, wherein the phrase prefix includes a first character sequence. A transformation probability is retrieved responsive to receipt of the phrase prefix, wherein the transformation probability indicates a probability that a second character sequence has been transformed into a first character sequence. A search is then executed over a trie to locate a most probable phrase completion based at least in part upon the transformation probability.

Abstract: A system is provided including a user interface and a processing device. The user interface is accessible to the user and includes at least one zone configured to display a module, the at least one zone having an associated module definition. The module definition comprises a visual organization of a plurality of product-related data elements sharing at least one common attribute. The processor includes a module definition unit and a module generation unit. The module definition unit includes a plurality of module definitions and is configured to provide at least one module definition in response to the presence of the at least one zone on the user interface. The module generation unit is configured to generate a module for display within the at least one zone by collecting the product-related data from a database as a function of the module definition and the collected product-related data.

Abstract: A system for displaying product information to a customer is described herein. The system includes a database and a server including a processor. The processor is programmed to receive a search query including a plurality of search terms via a computing device. The processor selects a search term from the plurality of search terms and determines an optionalization probability associated with the selected search term. The processor generates a search request as a function of the search query and determines whether to retain the selected search term with the search request as a function of the optionalization probability. The processor retrieves product records from the database as a function of the search request, and generates and displays a product search result including product information associated with the retrieved product records.

Abstract: A system, method, and non-transitory computer-readable storage media includes a computer system having a server configured to generate labeled data on products to produce pairwise preferences, to combine the pairwise preferences, editorial ratings of the products, and inferred consumer relevances of the products to produce an ideal ranking for the products, to learn rerank function parameters based on the ideal ranking for the products, to output product rerank function parameters based on the learned rerank function parameters, to receive a product search query from a user device of a user, to get products that match the product search query, to rank the products based on the product rerank function parameters, and to output the ranked products as search results to the user device of the user.

Abstract: Various technologies described herein pertain to using social activity data to personalize ranking of results returned by a computing operation for a user. For each of the results returned by the computing operation, a respective first affinity of the user to a corresponding result and a respective second affinity of the user to the corresponding result can be calculated and used for ranking the results. The respective first affinity of the user to the corresponding result can be calculated based on correlations between social activity data of the user and social activity data of a first group of historical users that clicked the corresponding result. Moreover, the respective second affinity of the user to the corresponding result can be calculated based on correlations between the social activity data of the user and social activity data of a second group of historical users that skipped the corresponding results.

Abstract: Various technologies described herein pertain to using social activity data to personalize ranking of results returned by a computing operation for a user. For each of the results returned by the computing operation, a respective first affinity of the user to a corresponding result and a respective second affinity of the user to the corresponding result can be calculated and used for ranking the results. The respective first affinity of the user to the corresponding result can be calculated based on correlations between social activity data of the user and social activity data of a first group of historical users that clicked the corresponding result. Moreover, the respective second affinity of the user to the corresponding result can be calculated based on correlations between the social activity data of the user and social activity data of a second group of historical users that skipped the corresponding results.

Abstract: Online spelling correction/phrase completion is described herein. A computer-executable application receives a phrase prefix from a user, wherein the phrase prefix includes a first character sequence. A transformation probability is retrieved responsive to receipt of the phrase prefix, wherein the transformation probability indicates a probability that a second character sequence has been transformed into a first character sequence. A search is then executed over a trie to locate a most probable phrase completion based at least in part upon the transformation probability.