143 results about "User assessment" patented technology

At the start of a process, an information presenting section presents information expressed by a solution vector, while an auxiliary information presenting section presents information for facilitating comparative evaluation of multiple pieces of information being presented simultaneously. Based on these pieces of information, the user evaluates each solution vector. A model estimation executing section generates an evaluation model for an adjustment process from a user evaluation history, and thereafter, a model evaluation calculating section performs evaluation using the evaluation model. A fitness calculating section calculates fitness from the evaluation made by the user or by the model, and in accordance with the thus calculated fitness, a recombination operation section performs an arithmetical recombination operation. The above process is iteratively performed to carry out optimum adjustment of solution vectors.

Systems and methods are described for testing customer premise equipment in an offline fashion. According to certain embodiments, a testing system including one or more computing devices can identify a test scenario that includes information associated with one or more commands and expected results associated with the commands. Such commands can be executed by customer premise equipment. One or more respective images associated with the execution of a command can be captured, and information associated with the command, the associated expected result, and one or more respective images can be displayed for evaluation by a user to determine whether the command is operating properly in the customer premise equipment that executed the command. Certain embodiments describe a confidence level which can correspond to a number of images to be captured in order to decrease the possibility that content was not captured for evaluation.

An investment guidance system which enables individuals to rate and select assets based on personal investment preferences. The system comprises a method for receiving a request to rate a plurality of assets, providing two or more criteria associated with the assets for a user to evaluate, receiving a relative weight of importance for the two or more criteria, and determining a rating for each asset based on the relative weights assigned to the two or more criteria. The system then ranks the plurality of assets based on the rated value for each asset, provides a list of the ranked assets and receives requests to execute trades for the ranked assets. The assets can comprise mutual funds, stocks, bonds, and / or other investment vehicles.

The present invention provides, in at least one embodiment, a system and method to improve the rating process by asking for feedback through a simple tag interface, which allows a user to rate content. The tag interface has an overall rating and at least one tag to be rated by the user. The user's rating of the tag helps classify the content for other users and the system forming a link between the user's overall rating and tag rating indicates the user's tastes. By systematically asking the users to evaluate a small subset of qualities in the form of tags, as opposed to asking each user to evaluate a large amount of tags, the system pieces together a large understanding of the content in a way that is very simple for the users.

Disclosed is a recommendation method and device. The recommendation method and device includes: acquiring current user behavior data in a currently operating network system in real time to obtain real-time user behavior data of users on the network, the current user behavior data representing currently occurring user rating activities of the users on the network; updating existing rating data of the users, the existing rating data representing user ratings of network objects made by the users during prior interactions with the network system or other network systems, the updating comprising modifying the user ratings in accordance with the real-time acquired user behavior data to obtain current user rating data of the users currently interacting with the network system; determining based upon the current user rating data, one or more similarities chosen from a group of similarities consisting of similarities between the users on the network, similarities between the network objects rated by the users, and between similarities between the users and the network objects; and sending to users recommendations for new recommended network objects to users according to one or more of the determined similarities, the recommendations being sent to users while the users are currently interacting with the network system. The present disclosure can increase recommendation precision and improve recommendation effect.