Abstract: A resonant switched capacitor converter includes a control system, a first capacitor, a plurality of resonant systems, and a plurality of second capacitors coupled in series. The first capacitor is coupled in series to the second capacitors. One resonant system corresponds to one second capacitor. Each of the resonant systems includes a first switch system, a resonant circuit, and a second switch system. The control system is coupled to the resonant systems and configured to control, based on a target output voltage gain, switches in the first switch system and the second switch system in each resonant system to be turned on or turned off, to enable the resonant switched capacitor converter to obtain an output voltage gain equal to the target output voltage gain.

Abstract: Implementing website navigation includes deriving a confidence level for at least one leaf node of a website navigation category diagram using historical user operation data; generating one or more navigation hierarchical structure diagrams based on the website navigation category diagram; determining a searching cost associated with each of the one or more navigation hierarchical structure diagrams; determining the navigation hierarchical structure diagram associated with the lowest searching cost; and implementing at least in part a website navigation mode using the navigation hierarchical structure diagram associated with the lowest searching cost.

Abstract: Providing guided search includes: receiving a new query; processing the new query to obtain a plurality of models, wherein a model indicates a mapping relationship of a previously stored query and corresponding guidance information; determining a corresponding plurality of similarities of the plurality of models relative to the new query; obtaining guidance information in a database comprising a plurality of mapping relationships of previously stored query and corresponding guidance information, including selecting at least some of the plurality of models based at least in part on the similarities and using the selected models as index to search the database; and sending the obtained guidance information to be displayed to a user.

Abstract: Implementing website navigation includes deriving a confidence level for at least one leaf node of a website navigation category diagram using historical user operation data; generating one or more navigation hierarchical structure diagrams based on the website navigation category diagram; determining a searching cost associated with each of the one or more navigation hierarchical structure diagrams; determining the navigation hierarchical structure diagram associated with the lowest searching cost; and implementing at least in part a website navigation mode using the navigation hierarchical structure diagram associated with the lowest searching cost.

Abstract: Implementing website navigation includes deriving a confidence level for at least one leaf node of a website navigation category diagram using historical user operation data; generating one or more navigation hierarchical structure diagrams based on the website navigation category diagram; determining a searching cost associated with each of the one or more navigation hierarchical structure diagrams; determining the navigation hierarchical structure diagram associated with the lowest searching cost; and implementing at least in part a website navigation mode using the navigation hierarchical structure diagram associated with the lowest searching cost.

Abstract: The present disclosure discloses a method of providing suggested terms. The method includes: receiving an initial query input from a user, and obtaining corresponding suggested queries based on the initial query; determining at least two categories corresponding to the suggested queries and at least two clickable regions usable for looking up the suggested queries; separately determining a category weight associated with each obtained category in each clickable region for the suggested queries, and a click attribute weight associated with each clickable region; computing a degree of confidence of each category for the suggested queries; and separately determining target categories for the suggested queries based on the degree of confidence of each category for the suggested queries. As such, the user may quickly identify his/her search intention based on the target categories corresponding to the suggested queries, thereby effectively improving the speed of information searching.

Abstract: Implementing website navigation includes deriving a confidence level for at least one leaf node of a website navigation category diagram using historical user operation data; generating one or more navigation hierarchical structure diagrams based on the website navigation category diagram; determining a searching cost associated with each of the one or more navigation hierarchical structure diagrams; determining the navigation hierarchical structure diagram associated with the lowest searching cost; and implementing at least in part a website navigation mode using the navigation hierarchical structure diagram associated with the lowest searching cost.

Abstract: Analyzing merchandise information includes: receiving merchandise information input by a user; analyzing the merchandise information, including at least obtaining values corresponding to one or more characteristic attributes from the merchandise information, wherein the values corresponding to one or more characteristic attributes are used to determine whether the merchandise information is messy; determining a messiness confidence level associated with the merchandise information based at least in part on the obtained values corresponding to one or more characteristic attributes; and determining whether the messiness confidence level associated with the merchandise information exceeds a preset threshold value; in the event that the messiness confidence level exceeds the preset threshold value, sending an indication to stop publication of the merchandise information and in the event that the messiness confidence level does not exceed the preset threshold value, not sending an indication to stop publication of

Abstract: Providing guided search includes: receiving a new query; processing the new query to obtain a plurality of models, wherein a model indicates a mapping relationship of a previously stored query and corresponding guidance information; determining a corresponding plurality of similarities of the plurality of models relative to the new query; obtaining guidance information in a database comprising a plurality of mapping relationships of previously stored query and corresponding guidance information, including selecting at least some of the plurality of models based at least in part on the similarities and using the selected models as index to search the database; and sending the obtained guidance information to be displayed to a user.