Vast.com, Inc.

Other

Kevin Allen Laws

Komal Singh Sethi

Milos Milinko Tatarevic

Michael Judge

Garrett Blythe

Kamal Ravikant

Aleksandar Milutin Bradic

Aleksandr Milutin Bradic

In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The item can be included in a category of items. Information for other relevant items of the category is available through network query and historical data, among others. Respective information for the other items of the category is available. The system and method includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information by comparing the information to other item information, weighting the information for the item in comparison to other items of the category, calculating a predictive score for the item of interest, and presenting the information of the item of interest ranked according to the predictive score as compared to other items of the category.

Predictive conversion systems and methods

In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The item can be included in a category of items. Information for other relevant items of the category is available through network query and historical data, among others. Respective information for the other items of the category is available to the method. The system and method includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information for the item by comparing the information to other item information for the category of items, weighting the information for the commercial item in comparison to other items of the category, calculating a predictive score for the commercial item of interest, and presenting the information of the commercial item of interest ranked according to the predictive score as compared to other items of the category.

A location sharing system and related processes across computer networks are provided that efficiently utilize resources by adjusting location determination techniques at client devices. A rule-based architecture including user-based heuristics facilitates location determination that is accurate while optimizing resource consumption. Current interest in or other behavior associated with a target user or requesting user can be used in selecting a location determination protocol at the client device. An accurate portrayal of a user's location can be provided efficiently by correlating interest to utilize more accurate but larger resource-intensive components when interest is higher and to utilize less accurate but lower resource-intensive components when interest is lower.

Efficient resource usage for location sharing in computer networks

In one embodiment, a system and method of predicting sale transaction conversion rate of an item operates through a search of information in response to a query over a network. The system and method can includes discovering available information of the item of interest, extracting certain of the available information of the item, analyzing the certain information by comparing the information to other item information, weighting the information for the item in comparison to other items of the category, calculating a predictive score for the item of interest, and presenting the information of the item of interest ranked according to the predictive score as compared to other items of the category.

Growing community of inventors

Belmont, CA, United States of America

Kevin Allen Laws