Abstract: The present concepts relate to an improved personalized search engine that can generate personalized rankings of search results in view of individual user's personal preferences and interests. Information about a segment of online content is collected. Certain activities by a user are tracked, including search queries submitted by the user, search results clicked on by the user, and/or web pages browsed by the user. From these activities, the user's preferences relating the segment are inferred using the collected segment information. When the user conducts a search directed to the segment, certain search results that the user is more likely to be interested in, based on the user's preferences, are ranked higher to generate the personalized rankings.

Abstract: Systems, methods, and computer-executable instructions for verifying a chat bot. Registration information for the chat bot is received that includes keywords. Queries are submitted to the chat bot and responses to the queries are received. The responses are classified using a classifier. Verification that the responses are classified as approved responses are done. The registration information is stored and the registration of the chat bot is completed based upon the verified responses. A search query that includes a search keyword is received. The search keyword is matched to the keywords associated with the chat bot. Search results that include a link to the chat bot that are based upon the search query are provided.

Abstract: A user submits a query to a search system that produces a search results page having one or more segments and a plurality of URLs relevant to the query. Embodiments of the disclosure ensure cohesion between the URLs and the segments on the search results page by evaluating each segment relative to the URLs. A relevancy score is calculated for each segment based on the URLs. The relevancy score for each segment is compared to one or more thresholds. Depending on whether the relevancy score for each segment exceeds one or more thresholds, the segment can be eliminated from the search page, relocated on the search page, or left alone. Calculation of each relevancy score is based on information determined from a search log. A feedback loop can help improve the functioning of the suppression and/or relocation functions.

Abstract: Representative embodiments disclose mechanisms to increase readability and/or engagement of search results on a mobile device while minimizing the bandwidth consumed by transferring search results from the search system to the mobile device. A search results page comprises a plurality of containers adapted to hold content of a content type such as text, rich media, hidden content, and so forth. When the search results page is downloaded to the mobile device, only content that is visible through a viewport on the screen on the mobile device is downloaded. The content that is visible can be adjusted to enhance readability and/or engagement based on the type of content displayed such as by adjusting size, spacing, color/highlights, animations, and so forth. Content that is not visible in the viewport is not downloaded until it becomes visible in the viewport or is predicted to become visible in the viewport.

Abstract: Techniques for optimizing delivery of online content to a mobile client device. In an aspect, a search application on the client device receives a user query, which is submitted to a server over a communications channel. The server retrieves a plurality of ranked search results relevant to the user query, and returns the search results to the client device. The search application further pre-fetches from the server and/or pre-renders content associated with a top plurality of the ranked search results, such that content may be instantly displayed at the client device if requested by the user. The identification and ranking of relevant search results by the server may be performed based on information provided by the client device that is customized to the user and/or the scenario, e.g., user account name, geographical location, device capabilities, etc.

Abstract: Technologies are provided for protecting nonintrusive content of a web page presented on a user device. A web page is received on a user device including instructions to monitor the web page for changes to the web page, and instructions to restore and freeze content of the web page when a modification has been detected. A content filter filters content on the web page. The filtering is detected on the user device, and the web page is restored with the original content of the web page and the content is frozen on the web page, preventing further modification of the web page.

Abstract: Representative embodiments disclose mechanisms to increase readability and/or engagement of search results on a mobile device while minimizing the bandwidth consumed by transferring search results from the search system to the mobile device. A search results page comprises a plurality of containers adapted to hold content of a content type such as text, rich media, hidden content, and so forth. When the search results page is downloaded to the mobile device, only content that is visible through a viewport on the screen on the mobile device is downloaded. The content that is visible can be adjusted to enhance readability and/or engagement based on the type of content displayed such as by adjusting size, spacing, color/highlights, animations, and so forth. Content that is not visible in the viewport is not downloaded until it becomes visible in the viewport or is predicted to become visible in the viewport.

Abstract: Systems, methods, and computer-executable instructions for verifying a chat bot. Registration information for a chat bot is received and stored. A search query is received from a browser that includes a search keyword. A determination if a chat bot should be included in search engine results page based upon the search query is made. The search query is matched to keywords associated with the chat bot. Using the registration information, if the chat bot is launchable from the search engine results page is determined. The chat bot is integrated in the search engine results page. The search engine results page is provided to the browser.

Abstract: Systems, methods, and computer-executable instructions for verifying a chat bot. Registration information for the chat bot is received that includes keywords. Queries are submitted to the chat bot and responses to the queries are received. The responses are classified using a classifier. Verification that the responses are classified as approved responses are done. The registration information is stored and the registration of the chat bot is completed based upon the verified responses. A search query that includes a search keyword is received. The search keyword is matched to the keywords associated with the chat bot. Search results that include a link to the chat bot that are based upon the search query are provided.

Abstract: Technologies are provided for protecting nonintrusive content of a web page presented on a user device. A web page is received on a user device including instructions to monitor the web page for changes to the web page, and instructions to restore and freeze content of the web page when a modification has been detected. A content filter filters content on the web page. The filtering is detected on the user device, and the web page is restored with the original content of the web page and the content is frozen on the web page, preventing further modification of the web page.

Abstract: Non-limiting examples of the present disclosure describe clustering of application data for identification of equivalent applications across different platforms. Exemplary clusters of application data may be utilized to improve results provided for query processing, among other examples. In one example, a query is received from a computing device. Web results may be accessed for the received query. An exemplary cluster may be identified that comprises application data for equivalent applications of different platforms. The cluster may be identified based on analysis of the web results. A specific application from the cluster may be determined based on the computing device associated with the received query. Data for the specific application may be output. In one example, data for the specific application is transmitted to the computing device. Other examples are also described.

Abstract: Systems, methods and computer-readable media are presented for moderating the network connectivity of an application according to network connectivity quality. A monitoring component and/or process receives information regarding network requests from the computing device, filters the requests according to an application, and for each of the filtered network requests generates a network request tuple from the network request and stores the information in a communication queue. A moderating component and/or process receives a network request of the application, evaluates the network connectivity quality for the application according to the information in the communication queue, and moderates the network request activity of the application commensurate with the network connectivity quality.

Abstract: A/B experiment validation implementations are presented that generally validate an A/B experiment prior to its release. One implementation involves employing multiple test execution engines to test a A/B experiment, and then aggregating the results. More particularly, a request to validate an A/B experiment is received from a requesting entity along with data pertaining to the A/B experiment. A category of the A/B experiment is then determined, and test execution engines applicable to the A/B experiment category are identified. For each test execution engine identified, the A/B experiment data is passed to the test execution engine, the test execution engine is requested to execute a test for the A/B experiment, and test results from the test of the A/B experiment are received. Once test results are received from the identified test execution engines, the test results are aggregated to produce a validation indicator.

Abstract: Systems and methods are provided for monitoring the performance of a network with respect to providing results for user requests. A user request can correspond to a search query, an entry of a uniform resource locator (URL) or other address for a document on a network, or another type of request. A plurality of user requests are aggregated, such as based on logs of search query or browsing activity. A representative group of user requests is selected and then submitted in order to evaluate the results provided. Based on a heuristic analysis of the results, an alert can be provided to indicate potential performance problems in the network environment.

Abstract: Web applications, systems and services, which are prone to cyber-attacks, can utilize an adaptive fuzzing system and methodology to intelligently employ fuzzer technology to test web site pages for vulnerabilities. A breadth first search and minimal fuzzing testing is performed on identified pages of a web site looking for either a vulnerability or the potential for a vulnerability. Heuristics are gathered and/or generated on each tested web page to determine a vulnerability score for the page that is an indication of the page's potential for hosting a vulnerability. When a page is discovered with a vulnerability score that indicates the page has the potential for a vulnerability a depth first search and expanded fuzzing testing is performed on one or more branches of the web site that begin with the page with the potential vulnerability.

Abstract: Query suggestions are generated based on a Breadth-First-Search having a configurable decaying radius. A computer system receives an initial set of semantically similar queries. The computer system expands the set to include related terms. The set of related terms is included in the initial set. The expansion process is repeated for each query or related term in the set. The radius may be reduced for each subsequent related term added to the query. The process may stop when the radius reaches a specified threshold, e.g., a predetermined number of queries or terms for the set is reached. The set includes the related terms and search queries. The set may be used for, among other things, suggesting related terms to a researcher, improving search engine performance, or selecting appropriate advertisements.

Abstract: Query suggestions are generated based on a Breadth-First-Search having a configurable decaying radius. A computer system receives an initial set of semantically similar queries. The computer system expands the set to include related terms. The set of related terms is included in the initial set. The expansion process is repeated for each query or related term in the set. The radius may be reduced for each subsequent related term added to the query. The process may stop when the radius reaches a specified threshold, e.g., a predetermined number of queries or terms for the set is reached. The set includes the related terms and search queries. The set may be used for, among other things, suggesting related terms to a researcher, improving search engine performance, or selecting appropriate advertisements.

Abstract: A web search system uses humans to rank the relevance of results returned for various sample search queries. The search results may be divided into groups allowing training and validation with the ranked results. Consistent guidelines for human evaluation allow consistent results across a number of people performing the ranking. After a machine learning categorization tool, such as MART, has been programmed and validated, it may be used to provide an absolute rank of relevance for documents returned, rather than a simple relative ranking, based, for example, on key word matches and click counts. Documents with lower relevance rankings may be excluded from consideration when developing related refinements, such as category and price sorting.

Abstract: Systems and methods are provided for monitoring the performance of a network with respect to providing results for user requests. A user request can correspond to a search query, an entry of a uniform resource locator (URL) or other address for a document on a network, or another type of request. A plurality of user requests are aggregated, such as based on logs of search query or browsing activity. A representative group of user is selected and then submitted in order to evaluate the results provided. Based on a heuristic analysis of the results, an alert can be provided to indicate potential performance problems in the network environment.

Abstract: Web applications, systems and services, which are prone to cyber-attacks, can utilize an adaptive fuzzing system and methodology to intelligently employ fuzzer technology to test web site pages for vulnerabilities. A breadth first search and minimal fuzzing testing is performed on identified pages of a web site looking for either a vulnerability or the potential for a vulnerability. Heuristics are gathered and/or generated on each tested web page to determine a vulnerability score for the page that is an indication of the page's potential for hosting a vulnerability. When a page is discovered with a vulnerability score that indicates the page has the potential for a vulnerability a depth first search and expanded fuzzing testing is performed on one or more branches of the web site that begin with the page with the potential vulnerability.