32 results about "Desktop search" patented technology

A system for transmission, reception and accumulation of the knowledge packets to plurality of channel nodes in the network operating distributedly in a peer to peer environment via installable one or more role active Human Operating System (HOS) applications in a digital devise of each of channel node, a network controller registering and providing desired HOS applications and multiple developers developing advance communication and knowledge management applications and each of subscribers exploiting the said network resources by leveraging and augmenting taxonomically and ontologically classified knowledge classes expressed via plurality search macros and UKID structures facilitating said expert human agents for knowledge invocation and support services and service providers providing information services in the preidentified taxonomical classes, wherein each of channel nodes communicating with the unknown via domain specific supernodes each facilitating social networking and relationships development leading to human grid which is searchable via Universal Desktop Search by black box search module.

The present invention provides methods and systems to improve network searching for watermarked content. In some implementations we employ keyword searching to narrow the universe of possible URL candidates. A resulting URL list is searched for digital watermarking. A system is provided to allow customer input. For example, a customer enters keywords or network locations. The keywords or network locations are provided to a watermark-enabled web browser which accesses locations associated with the keywords or network locations. Some implementations of the present invention employ a plurality of distributed watermark-enabled web browsers. Other aspects of the invention provide methods and system to facilitate desktop searching and automated metadata gathering and generating. In one implementation a digital watermark is used to determine whether metadata associated with an image or audio file is current or fresh. The metadata is updated when it is out of date. Watermarks can also be used to link to or facilitate so-called on-line “blogs” (or online conversations).

The present invention provides methods and systems to improve network searching for watermarked content. In some implementations we employ keyword searching to narrow the universe of possible URL candidates. A resulting URL list is searched for digital watermarking. A system is provided to allow customer input. For example, a customer enters keywords or network locations. The keywords or network locations are provided to a watermark-enabled web browser which accesses locations associated with the keywords or network locations. Some implementations of the present invention employ a plurality of distributed watermark-enabled web browsers. Other aspects of the invention provide methods and system to facilitate desktop searching and automated metadata gathering and generating. In one implementation a digital watermark is used to determine whether metadata associated with an image or audio file is current or fresh. The metadata is updated when it is out of date. Watermarks can also be used to link to or facilitate so-called on-line “blogs” (or online conversations).

A solution is provided that allows end users to search documents in multiple remote content repositories in an enterprise environment, while maintaining security of those documents. Additionally, end users are able to search for a document without knowing which server or directory it is stored under. This is accomplished by installing a search agent on the end user's machine. The search engine collects the metadata of authorized documents located in different repositories via a web protocol (such as Hypertext Transfer Protocol, or HTTP) and stores them in the user's local memory as “searchable links”. This solves the enterprise content search problem through the creation of searchable links of remote content objects in an end user's local machine while allowing emerging desktop-search technology to index them.

A system for searching an object environment includes harvesting and indexing applications to create a search database and one or more indexes into the database. A scoring application determines the relevance of the objects, and a querying application locates objects in the database according to a search term. One or more of the indexes may be implemented by a hash table or other suitable data structure, where algorithms provide for adding objects to the indexes and searching for objects in the indexes. A ranking scheme sorts searchable items according to an estimate of the frequency that the items will be used in the future. Multiple indexes enable a combined prefix title and full-text content search of the database, accessible from a single search interface.

Described herein are methods and systems for choosing digital advertisements to send to a user's computer while protecting private information. When a user performs a search using a public site, the user's search information is stored in a database. The system builds a profile for the user based on the public search information, which can be used to select advertisements for delivery to a Web site accessed by the user. The system can also select advertisements based on information gleamed from a user's private (desktop) searches. For example, the system can use the content or category in which a user is searching to choose advertisements.

Embodiments of the present invention provide a desktop search tool that allows users to efficiently retrieve or locate a desired object on their computer. Users specify their search based on a time context In addition, the desktop search tool may provide its results in a temporal context to assist the user in browsing through the results.

The invention discloses a calling-out method of a mobile phone desktop search box. A drop-down menu notification bar is arranged above any operation interface of a screen; a search box is arranged in the drop-down menu notification bar, and a retrieval result list view is arranged below the search box; the search range of the search box covers a memory card and a storage space in the mobile phone; and the search content is set. The search box calling-out method comprises the following steps that: 1, a user clicks on the drop-down menu notification bar of any operation interface; 2, the user finds the search box from the drop-down menu notification bar and inputs a search keyword in the search box; 3, a background program searches the memory card and the storage space in the mobile phone, and displays the search keyword on the retrieval result list view; 4, the user selects the search content according to the retrieval result list view and enters the related application program; and 5, the search is completed. According to the invention, a search box can be called out on any operation interface, thereby being more convenient and quicker and more humanized and improving the efficiency.

Described herein are methods and systems for choosing digital advertisements to send to a user's computer while protecting private information. When a user performs a search using a public site, the user's search information is stored in a database. The system builds a profile for the user based on the public search information, which can be used to select advertisements for delivery to the user's computer. The system can also select advertisements based on information gleamed from a user's private (desktop) searches. For example, the system can use the category in which a user is searching to chose advertisements.

Apparatus and methods useful for desktop searching are disclosed. According to one embodiment of the invention, for each query, the system evaluates if similar ones would give more results. If so, the system suggests the user with one or several similar queries. Similar queries are based on indexed content so corrections conduct to (that is, lead to) at least one result. According to another embodiment of the invention, for each keyword of the query the system computes a similarity value for a subset of all keywords of the index database. The subset is composed of all keywords minus the ones too short and too lengthy to be similar. Therefore, each keyword from the query gets a list of similar indexed keywords. According to yet another embodiment of the invention, the system replaces each query keyword, one after another, by a member of its similarity list until all combinations of substitutions are listed. The number of results for each similar query is calculated. Corrected queries giving significantly more results than the original query are suggested to the user.

Methods and systems for method for modifying a File Open dialog to enable searching for a file. The method includes writing a namespace extension. Next a custom view is built within the File Open dialog box using the namespace extension. The custom view allows a user input a keyword or phrase within the customized File Open dialog box. Searching then occurs for the file indicated by the user search input using the Desktop Search. The search results are then displayed the within the File Open dialog box.

The present invention discloses a solution of using user provided structure feedback to index electronic documents. In the solution, a search engine can serve search results based on an indexed store of electronic documents to at least user. Structure feedback can be received concerning the search results. The structure feedback can identify at least one structure element of an electronic document and at least one user specified semantic tag for the structure element. The indexed store can be changed to incorporate the structure feedback. The changed index store can be used when subsequently serving search results. The search engine can be a Web search engine and / or a desktop search engine.

Embodiments of the present invention provide a desktop search tool that allows users to efficiently retrieve or locate a desired object on their computer. Users specify their search based on a time context. In addition, the desktop search tool may provide its results in a temporal context to assist the user in browsing through the results.

Various methods and systems for implementing agents that facilitate end user searches of a backup catalog via a desktop search tool are disclosed. One method involves: receiving a search request from a desktop search tool, which is configured for use by an end user of a backup system; searching a backup catalog, maintained by the backup system, in response to the search request; and providing a result of searching the backup catalog to the desktop search tool.

This invention discloses one intelligent movable terminal desk research method, which analyzes intelligent terminal memory medium word, SMS, mails, pictures and radio audio and establishes the content index, wherein, the intelligent terminal desk research engineer user interface receives user requirement and reads relative content index and compute similar degree and sends the requirement results to the user from high to low and help user to rapidly locate needed information.

The invention provides abstract-type network search engine system and searching method and the application thereof. The system mainly comprises a user interface, a page catching module, a sentence index module, an abstract-type search module and so on. The search method comprises the following steps: (1) catching the web on the web page, and generate statement index; (2) generating a summary-style search results. The system can be used for general-purpose search engines or specialized search engine system, can also be configured as a specific user or user group to provide a summary of the desktop search service system or a remote service system or configured to apply to cell phones and other mobile communications equipment information search platform and so on. Compared with the existing technology, to users of the invention can be more concise, more informative, more relevant, more user-friendly search results.

The invention discloses a Lucene-based desktop searching system and method. The system expands a Chinese processing function and a text analyzing function on the basis of Lucene and comprises four modules, namely, an index file constructing module, an index file real-time updating module, an index file timing updating module and a user interaction module. The method comprises the following steps of: scanning a file which is stored on a local disk and contains text information; extracting key information such as a name, a path and contents of the file and establishing a reverse index; monitoring the operations of deleting and modifying the file and the like and updating the index to enable the file to be consistent with the index information; receiving a query request of a user, reading an index corresponding to the query request and carrying out similarity calculation; and returning the query results to the user from high to low to help the user quickly and accurately position the required information. The Lucene-based desktop searching system and method disclosed by the invention have the advantages of favorable real-time property, fewer occupied resources and higher recall ratio and precision ratio.

The invention discloses a desktop search method, a mobile terminal and a computer readable storage medium. The desktop search method comprises the steps that when a desktop search request is detected,full-text indexes and application category indexes corresponding to a search keyword in the desktop search request are acquired, wherein the full-text indexes include local full-text indexes and cloud full-text indexes; a similarity between the search keyword and each index word in the full-text indexes and the application category indexes are calculated; the index words with the similarities greater than a preset threshold value are acquired, and a resource list corresponding to the index words is acquired and displayed. According to the method, the indexes in multiple dimensions are established, the corresponding indexes are determined through the search keyword, resource information needed by a user can be found through search in the indexes in multiple dimensions quickly and accurately, a richer search demand of the user is greatly met, and the accuracy of a search result is guaranteed.

In a data security method for preventing a desktop search tool from exposing encrypted data, when a virtual secure disk receives a control instruction, it is first determined if the control instruction came from the desktop search tool. If not, tasks are performed on the virtual secure disk according to the control instruction. On the other hand, if yes, processing is ended to prevent the desktop search tool from indexing the virtual secure disk, thereby achieving the effects of ensuring data security and privacy.

The invention relates to a search prompting method and device, a mobile terminal and a storage medium. The method comprises the following steps: monitoring a switching operation for indicating the mobile terminal to switch a display page; when N times of switching operation are continuously monitored, outputting prompt information of using desktop search, wherein N is a positive integer equal to or larger than 2. Thus, when it is monitored that the user continuously performs switching operation on the display page of the mobile terminal for N times, the prompt information of using the desktop search is output to prompt the user to perform desktop search by using the desktop search, so that the user is intelligently reminded when the user cannot find a desired application or file, the user can search conveniently, the operation efficiency of the mobile terminal is improved, and the user operation experience of the mobile terminal is enhanced.

The invention relates to a data safety method which prevents exposure of encryption data by desktop searching tool and includes the following steps: (A) a data safety system with secure disk function is provided; (B) when receiving a control instruction, the data safety system judges whether the control instruction is transmitted by the desktop searching tool; if the control instruction is not transmitted by the desktop searching tool, the operation of the data safety system is still controlled by the control instruction; if the control instruction is transmitted by the desktop searching tool, a reject instruction is transmitted to be stored in the desktop searching tool. When a virtual secure disk receives a control instruction, the invention judges whether the control instruction is transmitted from the desktop searching tool at first; if the judgment is 'NO', the operation of the secure disk is still controlled by the control instruction; if the judgment is 'YES', the operation is stopped to prevent the index of the virtual secure disk by the desktop searching tool, thereby reaching the efficacy of ensuring data safety and privacy.

This invention discloses one intelligent movable terminal desk research method, which analyzes intelligent terminal memory medium word, SMS, mails, pictures and radio audio and establishes the contentindex, wherein, the intelligent terminal desk research engineer user interface receives user requirement and reads relative content index and compute similar degree and sends the requirement resultsto the user from high to low and help user to rapidly locate needed information.

The invention discloses an active desktop searching start method, and belongs to the field of computers. The method comprises the steps that a cursor is dragged, the cursor track is acquired, and whether or not the change of the cursor track is valid is recognized; whether or not the valid change range of the cursor track is located in the current desktop blank is judged, and if the change range of the cursor track is located in the current desktop blank, a search dialog box is started; if the change range of the cursor track is not located in the desktop blank, the search dialog box is not started. The method achieves control over the process of starting the search dialog box by recognition of the adopted cursor and also achieves rapid searching, and the CPU utilization is extremely low.