摘要:
An interest in an object of interest in a given situation can be determined by determining multiple sets of probability values for specific interest levels. Each set of probability values includes a probability that a specific interest level occurs in a situation represented by a plurality of context variables each having a plurality of possible context values. Input context values are then obtained. The relevance of each one of the sets of probability values to the input context values can be determined in order to determine a projected interest level.
摘要:
In one embodiment, a method for operating a local virtual world proxy is provided. A virtual world view is received corresponding to a virtual world client. Information about resources available to the virtual world client is obtained. Virtual representations of one or more resources available to a virtual world client are fetched. Then the virtual representations are injected into the virtual world view. The virtual world view is then forwarded to the virtual world client for display to a user of the virtual world client.
摘要:
In one embodiment, data relating to usage patterns of the user is stored, wherein the data includes information as to items which were used and the context in which they were used. A correlation table is constructed. Correlation values between each item and each context are then stored in then correlation table, wherein the correlations are used to recommend one or more of the items.
摘要:
A method for generating a portion of a query for a user is provided, the method comprising: retrieving information regarding the user's interests; and generating a portion of a query by analyzing the user's interests and the current situation of a user device operated by the user to determine at least one keyword.
摘要:
A definition of a set of context variables to be considered is received, wherein the context variables represent categories of situations in which the computer system can be. A definition of a set of activities to be considered is also received, wherein the activities represent activities that can be performed using the computer system. For each context variable to be considered, a definition of a set of states to be considered is received, wherein the states represent situations in which the computer system can be. For each context variable to be considered, a specification of first probability distributions for each corresponding state is received. For each context variable to be considered, for each activity to be considered, a specification of second probability distributions to represent the likelihood of the activity being performed in the corresponding context is received. Usage data is generated using the first second probability distributions.
摘要:
An input situation can be represented by at least a first context variable. Data that includes interest values for multiple context variables can be provided and obtained. The obtained data can include a first data pertaining to the input situation and a second data pertaining to one or more other situations. It can be determined whether the first context variable is associated with a discrete range of values or a continuous range of values. At least a portion of data pertaining to the situations can be determined to be proximate data when the first context variable is associated with a continuous range of values. Based on the input situation and the proximate data, an interest value for the first input situation can be determined as a prediction of the interest in the input situation.
摘要:
Data relating to usage patterns of the user is stored, wherein the data includes an application portion having information as to items which were used and a context portion having information as to the context in which the items were used. The data is clustered into clusters of data points and centroid are computed, wherein the centroid includes an application portion and a context portion. Clusters similar to a current context of the user are selected by comparing a data point representing the current context of the user to the context portions of one or more of the centroids. For each of one or more items, a expectation value that the user wishes to use the corresponding item is computed, based on the application portions of the selected similar clusters, wherein the expectation values are used to recommend one or more of the items.
摘要:
Techniques for determining an interest in an object of interest in a given situation are disclosed. Multiple situation-based interest rating components can be provided for various situations. Each situation-based interest rating component can include an interest value indicative of interest in an object of interest in one of the situations. An input situation can then be obtained. One of the situation-based interest rating components can be identified matching an input situation. The relevance of one or more of the other situation-based interest rating components to the identified matching component can then be determined. This can, for example, be done by computing one or more distances between only the respective situation-based portions of the matching situation-based interest rating component and one or more of the other components, or based on the interest value-based portion of each component, or both.
摘要:
In one embodiment, data relating to usage patterns of the user is stored, wherein the data includes information as to items which were used and the context in which they were used. The data is then clustered into clusters of data points. Then a centroid is determined for each of the clusters. A cluster similar to a current context of the user is selected by comparing a data point representing the current context of the user to one or more of the centroids. For each of one or more items, a threshold based on values for a plurality of the centroids with respect to the corresponding item, wherein a threshold is used to compare with centroid value of an item in a selected cluster to determine whether to recommend the item.
摘要:
In one embodiment, data relating to usage patterns of the user is stored, wherein the data includes information as to items which were used and the context in which they were used. A correlation table is constructed. Correlation values between each item and each context are then stored in then correlation table, wherein the correlations are used to recommend one or more of the items.