Sap Portals Israel Limited

Sap Portals Isreal Ltd

Radview Software, Ltd.

Yahali Sherman

Vitaly Vainer

Dmitry Khalatov

Ran Gross

Ram Alon

Guy Bavly

Ariel Tammam

Avi Guzansky

Eyal Nathan

Vladimir Tkach

Rachel Ebner

Doron Lehmann

Oleg Kossoy

Eran Nelinger

Pavel Kravets

Yoav Cohen

Ev Shafrir

Yaakov Greenshpan

Avi Guzanski

Eli Ben-David

Uri Hare'l

Ilan Kinreich

Hila Schlank

The disclosure generally describes computer-implemented methods, software, and systems for automatically removing inappropriate content. One example method includes: identifying a report of inappropriate content received from a user, the report identifying a content item the user has identified as inappropriate and an identification of the user, determining whether to automatically remove the content item based at least in part on the identity of the user, and removing the content item upon determining that the content should be removed. In some instances, the user is associated with a report weight. The report weight can be based, at least in part, on a business role of the user. Determining whether to automatically remove the content item may include determining that the user or a business role of the user is associated with an automatic removal rule, and removing the content item upon determining that the report is associated the user.

Automatic removal of inappropriate content

Techniques for managing a virtual workspace include: generating a virtual workspace viewable by a user on a graphical user interface, the virtual workspace comprising a plurality of workspace modules comprising data contained in a plurality of data objects; identifying an interaction by the user with at least some of the data contained in a particular data object of the plurality of data objects; and providing, through the virtual workspace, at least one suggestion comprising a description of data contained in the plurality of data objects that is semantically related to the data interacted with by the user.

Managing semantic data in a contextual workspace

Techniques for providing user-based context to a virtual workspace, including: generating a virtual workspace viewable by a user on a graphical user interface, the virtual workspace comprising a plurality of workspace modules comprising data contained in one or more data objects; identifying an interaction by the user with at least some of the data contained in the one or more data objects; and based on the identified interaction, identifying additional data contained in the one or more data objects that is semantically related to the data interacted with by the user.

Managing a contextual workspace

Techniques for managing a virtual workspace include generating a virtual workspace viewable by a user on a graphical user interface, the virtual workspace comprising one or more workspace modules comprising data contained in a plurality of data objects associated with a business enterprise; identifying an interaction by the user with at least some of the data contained in a particular data object of the plurality of data objects; generating a plurality of suggestions comprising data contained in the plurality of data objects that is semantically related to the data interacted with by the user; ranking the plurality of suggestions based on a role of the user in the business enterprise; and presenting at least a portion of the ranked plurality of suggestions to the user.

Suggesting data in a contextual workspace

In some implementations, a method for providing user-based context to a virtual workspace includes generating a first virtual workspace viewable by a user on a graphical user interface. The virtual workspace comprises a plurality of workspace modules comprising first data aggregated from one or more data objects. The aggregated data is determined to be semantically proximate aggregated data in a second virtual workspace. User annotations assigned to the semantically-proximate aggregated data are identified. The user annotations are presented in the first virtual workplace viewable by the user.

Annotating contextual workspaces

Techniques for exploring social connections in an in-memory database include identifying an attribute in a user profile associated with a first user; executing a query against a data element stored in an in-memory database, the query including the attribute in the user profile; identifying a second user from results of the query, the second user associated with the data element based on a relationship between the second user and the first user defined by the attribute; and generating displayable information associated with the second user.

Real-time social networking

The disclosure generally describes computer-implemented methods, software, and systems for resolving issues with applications accessed through portals. A computer-implemented method includes providing an enterprise portal page to a mobile device including at least one link associated with a native mobile device application; identifying an issue associated with activation of the at least one link associated with the native mobile device application within the enterprise portal page, where the issue results from the native application being unavailable at the mobile device; identifying a device type of the mobile device on which the issue occurred; and providing information for resolving the issue to a user interface on the mobile device to correct the issue, including at least one suggested link for downloading the native mobile device application associated with the identified issue, the at least one suggested link is selected based on the identified issue and the identified device type.

Enterprise portal mobile applications installs

Systems and methods for dynamic user profile presentation in a large-scale network are provided. Individuals may request to retrieve user profiles of other users in the network. Commonalities between the requesting individual and the owner of the user profile are identified. The commonalities may include non-public information associated with the owner of the user profile. Connection strength associated with each commonality is determined and the commonalities are prioritized according to the connection strength. The commonalities between the requesting individual and the owner of the user profile are presented to the requesting individual based on the prioritization.

Dynamic presentation of a user profile

The disclosure generally describes computer-implemented methods, software, and systems for search-, context-, and rule-based creation and runtime adaptation in dynamic workspaces. One computer-implemented method includes identifying a data artifact associated with each search result of at least one received search result, associating each identified data artifact with a module category of a plurality of module categories, injecting the identified artifacts into a content gallery, categorize, by operation of at least one computer, the injected identified artifacts within the content gallery, presenting at least a subset of the injected identified artifacts on an enterprise workspace page associated with an enterprise workspace, and constructing a context associated with at least one of the enterprise workspace or the enterprise workspace page.

Search and context based creation in dynamic workspaces

Techniques implemented in methods, computer-readable media apparatus, and systems for graphically exploring an in-memory database include: identifying a selected data object; searching an in-memory database for a data element associated with a search term; and determining a relationship between the data element and the selected data object; and generating a displayable graph of the relationship as a path between the data element and the selected data object, the path comprising at least two nodes, where a first node represents the selected data object and a second node represents a node associated with the data element.

Graphical exploration of a database

A computer-based method for load testing a web application to determine the web application's full capacity using a plurality of load generators. The computer-based method comprises generating a load on the web application using at least one load generator and measuring the transactions per second (TPS) and application response time (ART) in real time. Another load generator is selected to dynamically increase the load on the web application if there is no increase in the TPS and the ART, thereby indicating that the load generator is at full capacity. However, if there is an increase in ART but no increase in the TPS with the increasing load, then the load testing is terminated since this indicates that the web application is at full capacity.

Growing community of inventors

Tel Aviv, Israel

Yahali Sherman