Oracle International Corporation

Meeten Bhavsar

Muralidhar Krishnaprasad

Thomas Chang

Sachin Bhatkar

Ciya Liao

Joaquin Delgado

Visar Nimani

Hui Ouyang

Cindy Hsin

Mark Davis

Hiroshi Koide

Mark Ture

Chi-Ming Yang

Thomas Baby

Omar Rogelio Alonso

Vivek Kumar

Catherine You Francis

Prabhakara Reddy Munnangi

Steve Yang

David Liao

Steve Chi-Ming Yang

Techniques for enhancing actionable opportunities through machine learning are disclosed. In some embodiments, a system includes an event listener for detecting an opportunity to perform an action using one or more computing resources. When a new opportunity is detected, the system generates a set of search criteria, which is used to search a set of external web resources for current events. The system may then generate, using a machine learning model as a function of one or more features extracted from current events satisfying the search criteria, a score representing a likelihood of success that the action leads to an optimal result. The system may tune the machine learning model based on feedback received that is indicative of how the current events affected the likelihood of success for the action.

Automated enhancement of opportunity insights

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety of sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be received at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Flexible framework for secure search

Techniques are included for intelligently testing a software product using a limited number of test cases that are configured to test portions of the software product that have changed since a prior testing. To determine which test cases are best used for testing the implemented changes, a test case-to-programmatic flow mapping may be generated that relates each test case available for testing the software product with each programmatic flow that is tested by the test case. In addition, a programmatic flow-to-artifact mapping may be created that relates each programmatic flow discovered in the software product to each artifact that is accessed, created, changed, or dependent on the programmatic flow. Using these mappings, specific test cases may be determined for testing only those portions of the software product that have changed since the prior testing.

Intelligent automation test workflow

Flexible authentication framework

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety of sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

A method of implementing a universal framework for searching across multiple search platforms in a secure federated search. The method includes receiving, at a federated broker, a query from an authorized user, obtaining a plurality of user credentials associated with the authenticated user, wherein each of the plurality of user credentials are used to access at least one source of a plurality of sources, determining a required query format for each of the plurality of sources, translating the query into a plurality of queries formatted according to the required query format of each of the plurality of sources, propagating the plurality of translated queries and the plurality of user credentials to each corresponding source to appear to each corresponding source to be the authorized user, receiving, at the federated broker, results of each of the plurality of queries from each source of the plurality of sources, and consolidating the results of each of the plurality of queries to be displayed in a uniform manner.

Propagating user identities in a secure federated search system

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or of sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Secure search performance improvement

A web crawler indexes documents including information about document contents and metadata including information such as a URL. However, some applications rely on URL's that change frequently or are constructed to include user information so that the contents retrieved is customized to the user. An approach is provided for storing generic URL's in an index at crawl time, which are customized for the user at search time. A callback mechanism may be used to dynamically transform the generic URL into a URL that is specific to the user issuing the query and/or includes current information that may change frequently. In this way, when the query or search results are returned to the user, the user receives links that are active and valid for that particular user, directing the user to the appropriate site, application, etc. without requiring continuous updating of a very large index.

Indexing secure enterprise documents using generic references

It is desirable to provide a secure search mechanism to provide for searching over any and all content, such as across an enterprise. A secure search, however, requires access to the secure content repositories holding the data to be searched. In some cases the credentials required to crawl a repository may be extremely sensitive, or the user may be reluctant or unwilling to store user identification information in memory or on disk for any longer than is absolutely necessary. An approach is provided that allows a user or an administrator to provide security credentials to be stored and used only during a crawl, and to erase the credentials from the system when the crawl is complete.

Crawling secure data sources

A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.

Link analysis for enterprise environment

Search term ranking algorithms can be generated and updated based on customer settings, such as where a ranking algorithm is modeled as a combination function of different ranking factors. An end user of a search system provides personalized preferences for weighted attributes, generally or for a single instance of the query. The user also can indicate the relative importance of one or more ranking factors by specifying different weights to the factors. Ranking factors can specify document attributes, such as document title, document body, document page rank, etc. Based on the attribute weights and the received user query, a ranking algorithm function will produce the relevant value for each document corresponding to the user preferences and personalization configurations.

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Emerald Hills, CA, United States of America

Meeten Bhavsar