International Business Machines Corporation

Seyyed Vahid Hashemian

Gregory J Boss

Ton A Ngo

Thomas K Truong

Cindy Han Lu

Nimesh Bhatia

Thai Quoc Tran

Arnaud J Le Hors

Propagating information in a computer network, in one aspect, may include detecting an online action performed by a user on a content presented on a computer. The content may be annotated with an identifier. A semantic graph may be searched for a semantic node representing the identifier. The semantic graph may be searched for one or more other semantic nodes representing one or more other identifiers that meet a semantic similarity threshold based on weighted distances between the semantic node and the one or more other semantic nodes. One or more other users represented in a social graph may be determined that have interest in one or more topics represented by the identifier and the one or more other identifiers. The online action on the content may be propagated to the one or more other users.

Information propagation via weighted semantic and social graphs

A host system reallocates resources in a virtual computing environment by first receiving a request to reallocate a first quantity of a first resource type. Next, potential trade-off groups are evaluated and a trade-off group is selected based on the evaluation. The selected trade-off group includes a set of applications running in the virtual computing environment that can use one or more alternate resource types as a substitute for the first quantity of the first resource type. After the selection, the host system reallocates the first quantity of the first resource type from the trade-off group. This reallocation may be made from the trade-off group to either a first application running in the virtual computing environment or the host system itself. If the reallocation is to the host system, then the total quantity of the first resource type allocated to applications running in the virtual computing environment is thereby reduced.

Resource substitution and reallocation in a virtual computing environment

A mechanism is provided in a data processing system for content delivery. The mechanism identifies a candidate user of a social networking service. The candidate user has an associated profile including at least one concept of interest. The mechanism determines a probability that the candidate user is interested in an item of content based on a semantic similarity of the at least one concept of interest and at least one concept tag associated with the item of content using a weighted semantic graph. Responsive to the probability exceeding a probability threshold, the mechanism delivers the item of content to the candidate user. Responsive to receiving feedback comprising at least one action taken by the candidate user with respect to the item of content, the mechanism adjusts weights in the weighted semantic graph.

Identification of target audience for content delivery in social networks by quantifying semantic relations and crowdsourcing

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Redwood City, CA, United States of America

Seyyed Vahid Hashemian