40 results about "Organic search" patented technology

A method is described for augmenting sponsored search results in a search engine, which includes extracting attribute data from a plurality of natural searches for a search term linked to a plurality of uniform resource locators (URLs), analyzing the attribute data of one or more attributes for clickers and non-clickers to determine at least one greatest distinguishing factor between the clickers and non-clickers, and integrating the at least one greatest distinguishing factor into a matching algorithm used by the search engine to rank order and display a plurality of the most relevant ads corresponding to the plurality of URLs in response to a search for the term. The method may also integrate the at least one greatest distinguishing factor into a marketer algorithm to enable a marketer of a URL to strategically choose a search term, along with the at least one greatest distinguishing factor, on which to bid.

A system and method is disclosed for presenting relevant advertising to user search queries. The ads can be selected by reference to an underlying content presented in organic search results. The ads can be combined and supplemented with conventional keyword / pay for placement type services to improve ad performance. The system can also be used for testing content related ads in advance of their presentation to potential third party partners in an advertising campaign.

A system and method utilizing human searchers and / or guides to select a search result(s) which may and / or may not be influenced by commercial or compensation information. A guide(s) may be selected and / or provided with information which may be influenced by compensation information associated with the guide(s) and / or other information. Human judgment may be used to select an organic search result(s) and / or a sponsored result. A person searching on behalf of another may make a decision regarding what will be provided to the other person based on varying degrees of commercial influence which may be explicitly and / or indirectly applied to a selection by a person.

Methods and apparatus are described to automatically categorize search queries. According to specific embodiments, this is accomplished by comparing search results responsive to an uncategorized query with search results responsive to queries in a categorized set. Search results from the categorized set are assigned categories and weights corresponding to the queries which produced them. Matches with search results for the uncategorized query are located in this data, and the corresponding categories and weights associated with the uncategorized query. These techniques can be applied to improve the relevancy of organic search results, sponsored search results, advertisements, marketing communications, news articles, and other types of content on both the provider's websites and other websites.

A system is configured to modify a website to optimize the website for an organic search of a topic. The system includes a data management module configured to receive search terms for the topic, receive related terms to the search terms for the topic, and receive website input data. The system also includes a scanning module configured to scan and index web pages and web objects in the website and identify a subset of web pages and web objects associated with the search terms and the related terms. The system also includes an optimizing module configured to process the subset of web pages and web objects from the website by prioritizing the subset of web pages and web objects or measuring a metric with respect to the subset of web pages and web objects. The search terms and related terms are deployed into the subset of web pages and web objects on the website based on the processing.

A method and system are disclosed for optimizing search engine operations to increase the likelihood of attaining financial goals in a syndicated commerce environment. An SEO algorithm is implemented to determine keyword options for a predetermined product based upon the product's description, its web page content, and other related information. The SEO algorithm is then used to determine the product's associated search traffic and rank-per-keyword from various search engines. This information, in addition to sales conversion rate information, is then used to estimate the likelihood of monetization for one or more keyword. The product web page content is then automatically revised with an optimized combination of keywords. Once optimized, various search engines are automatically notified of the revisions to the web content pages to improve organic search rankings.

The invention is a computer-implementable methodology for quantitatively assessing the impact of paid search advertising on the total visits (paid and organic search-based visits) from search engines and utilizing this assessment to improve search engine marketing performance. The methodology relies on the computation of a synergy score for each search engine keyword of interest or coefficients in a synergy equation. Once computed, the score can be used to repeatedly compute the total return on advertising spend (ROAS) and other performance metrics on a go-forward basis without the time lag inherent in computing the synergy score itself. The invention includes specific computer-implementable methods for improving search engine marketing performance based on the total (paid plus organic) performance metrics.

In various embodiments, a method for generating from one or more keywords a list of related topics for organic search includes receiving, by a topic tool, an input of one or more keywords for which to generate a list of related topics. The method may further include acquiring, by a crawler, content from a plurality of different web content sources via one or more networks. The method may also include applying, by the topic tool, to the acquired content an ensemble of one or more key phrase extraction algorithms, one or more graph analyses algorithms and one or more natural language processing algorithms to identify a set of semantically relevant topics scored by relevance. The method may also include generating, by the topic tool, from the set of semantically relevant topics, a knowledge graph of related topics for the input of the one or more keywords. The method may further include outputting, by the topic tool based at least partially on the knowledge graph, an enumerated list of topics ranked by at least a relevance score.

A method is described for augmenting sponsored search results in a search engine, which includes extracting attribute data from a plurality of natural searches for a search term linked to a plurality of uniform resource locators (URLs), analyzing the attribute data of one or more attributes for clickers and non-clickers to determine at least one greatest distinguishing factor between the clickers and non-clickers, and integrating the at least one greatest distinguishing factor into a matching algorithm used by the search engine to rank order and display a plurality of the most relevant ads corresponding to the plurality of URLs in response to a search for the term. The method may also integrate the at least one greatest distinguishing factor into a marketer algorithm to enable a marketer of a URL to strategically choose a search term, along with the at least one greatest distinguishing factor, on which to bid.

Computer-implemented system and methods are disclosed for optimizing the relative positions of sponsored and organic search results on a search results page displayed to a user, including calculating, by a search engine, a degree of commerciality of a search query; receiving the search query from a user by the search engine; and delivering, by the search engine to a browser of a user, a plurality of sponsored search results in at least two columns and a plurality of organic search results in at least a third column of one or more search results pages, wherein a layout of the at least three columns depends on the degree of commerciality of the search query.

Computer-implemented system and methods are disclosed for optimizing the relative positions of sponsored and organic search results on a search results page displayed to a user, including calculating, by a search engine, a degree of commerciality of a search query; receiving the search query from a user by the search engine; and delivering, by the search engine to a browser of a user, a plurality of sponsored search results in at least two columns and a plurality of organic search results in at least a third column of one or more search results pages, wherein a layout of the at least three columns depends on the degree of commerciality of the search query.

The invention provides an information pushing method, and belongs to the technical field of computers. The method comprises the following steps: executing search operation on a search term by transferring natural search service; obtaining a natural search list comprising a first threshold number of natural search materials and first evaluation scores of the natural search materials, and transferring push information search service to execute search operation on the search term; obtaining a push information list comprising a second threshold number of push materials and second evaluation scores of the push materials; integrating the first evaluation scores and the second evaluation scores of the materials which simultaneously exist in the natural search list and the push information list; and finally reordering and pushing the natural search materials according to the integrated evaluation score, and advancing the push position of the search result with push attributes in the natural search list. Therefore, the accuracy of the search result is ensured; and the click rate of the search result with the push attributes is also ensured.

Computer-implemented system and methods are disclosed for optimizing the relative positions of sponsored and organic search results on a search results page displayed to a user, including calculating, by a search engine, a degree of commerciality of a search query; receiving the search query from a user by the search engine; and delivering, by the search engine to a browser of a user, a plurality of sponsored search results in at least two columns and a plurality of organic search results in at least a third column of one or more search results pages, wherein a layout of the at least three columns depends on the degree of commerciality of the search query.

The invention provides a search result displaying method and device based on scenic spot name search. The method comprises the steps that a target UGC search result set is created; when a search request using any one scenic spot name in a knowledge graph as a search keyword is received, natural search is performed according to the scenic spot name to obtain a natural search result item; a target UGC search result item matched with the scenic spot name is queried and obtained from the target UGC search result set; the natural search result item is displayed in a natural search result display zone of a search result page, and the target UGC search result set matched with the scenic spot name is displayed in a relevant recommending zone of the search result page. By adopting the technical scheme, interested contents related to user demands can be recommended in the relevant recommending zone of the search result page, the search engine usage experience of a user is improved, and the click rate of the relevant recommending zone is also improved to a great extent.

A system is configured to modify a website to optimize the website for an organic search of a topic. The system includes a data management module configured to receive search terms for the topic, receive related terms to the search terms for the topic, and receive website input data. The system also includes a scanning module configured to scan and index web pages and web objects in the website and identify a subset of web pages and web objects associated with the search terms and the related terms. The system also includes an optimizing module configured to process the subset of web pages and web objects from the website by prioritizing the subset of web pages and web objects or measuring a metric with respect to the subset of web pages and web objects. The search terms and related terms are deployed into the subset of web pages and web objects on the website based on the processing.

The invention provides a news searching-based searching result providing method and apparatus. The searching result providing method comprises the steps of receiving a news searching request taking news content as keywords; performing natural searching on the news content according to the news searching request to obtain natural searching result items, and extracting target news data with preset types from a preset news database comprising mass news data; and displaying the natural searching result items on a searching display region of a searching result page, and displaying the target news data on a searching recommendation region of the searching result page. By adoption of the technical scheme, news data related to user requirements can be recommended to the maximum based on the searching recommendation region, so as to improve click rate on the target news data recommended in the searching recommendation region by the user; and therefore, the recommendation effect of the searching recommendation region is made into full play, so that experience on a searching engine by the user is satisfied as a whole.

Personalization of Internet search is effected through the use of ResultRank and searcher selected profile attributes and searcher selected query context attributes. These attributes are also referred to as hats (worn by the searcher). Searcher privacy is maintained by allowing limited use of a searcher's profile by the search engine. Query language interpretation is improved by capture and use of searcher behavior and hat selection, in past search sessions, without storage of individual profile or context information. ResultRank is maintained and adjusted, on a per hat basis such that future, similarly hatted searchers benefit from these past sessions. An average of ResultRank, across searcher selected hats, is utilized for improved SERP ranking Recognition of QLP's is improved by use of the hats. Custom support of public and private language community circles is incorporated. The technique is applied to organic as well as sponsored results. Steps are taken to minimize the impact of any attempt to artificially adjust ResultRank.

The invention relates to an estimation method and device of a click feedback model suitable for commercial search. The method comprises the following steps: counting a click statistic value of an advertisement resource obtained by searching according to a search term; obtaining the total click quantity of a ranking order of the advertisement resource in the commercial search and the total click quantity of the ranking order of a natural source corresponding to the advertisement resource in natural search; estimating the click statistic value of the natural resource corresponding to the advertisement resource in the commercial search according to the click statistic value and the total click quantities; estimating the click score value of the natural source corresponding to the advertisement resource in the natural search according to the click statistic value; and carrying out ranking according to the click score value to obtain the ranking order in the first natural search. According to the estimation method and device of the click feedback model suitable for the commercial search, the click statistic value obtained by combining the ranking orders is relatively accurate; the data accuracy is improved; and the ranking order of the subsequently obtained natural resource in the first natural search is relatively accurate.

A system and method for predicting a real-time change in an organic search ranking of a website is disclosed. The present invention provides a statistical model and a simulation interface capable of predicting a real-time change in an organic search ranking of a website. The system identifies one or more variables impacting the organic search ranking of a website and assigns an individual score to each variable. The system further enables the user to make modifications in the one or more variable and to visualize the real-time change in ranking by correlating an overall score with the actual organic search ranking.

A system for generating web pages for improving organic search rankings, associated with a website, the system comprising: a keyword generating module adapted to: retrieve one or more candidate keyword sets associated with website content, analyse the candidate keyword sets, and generate one or more target keyword sets based on the analysis of the candidate keyword sets; a web page generating module adapted to: retrieve website content data associated with the website content, and generate web pages based on the generated target keyword sets and the retrieved website content data; wherein the web page generating module is further adapted to communicate with a publicly visible web page server to enable the publicly visible web page server to store and serve the generated web pages; and a link logic module adapted to: define one or more of i) a number of links and ii) a type of link relationship between the target keyword sets, keywords in the target keyword sets, the web pages generated and pages on the website, and communicate with a link module adapted to retrieve and display the links defined by the link logic module on the website to make the links visible to search engines.

Systems and methods that for searching and displaying ontology-based data structures so that the essential and relevant qualities of searched subject matters may be categorized by subject indices. The system and methods described below utilize ontology-based data systems to enable a more integrated and tighter search experience while at the same time providing a natural search experience

Personalization of Internet search is effected through the use of ResultRank and searcher selected profile attributes and searcher selected query context attributes. These attributes are also referred to as hats (worn by the searcher). Searcher privacy is maintained by allowing limited use of a searcher's profile by the search engine. Query language interpretation is improved by capture and use of searcher behavior and hat selection, in past search sessions, without storage of individual profile or context information. ResultRank is maintained and adjusted, on a per hat basis such that future, similarly hatted searchers benefit from these past sessions. An average of ResultRank, across searcher selected hats, is utilized for improved SERP ranking Recognition of QLP's is improved by use of the hats. Custom support of public and private language community circles is incorporated. The technique is applied to organic as well as sponsored results. Steps are taken to minimize the impact of any attempt to artificially adjust ResultRank.

In some embodiments, a method may include receiving a search query based on a state of, determining one or more organic search results based on the state of determining one or more non-organic search results based on the state of and / or and providing the one or more organic search results and the one or more non-organic search results.

A system and method is disclosed for presenting relevant advertising to user search queries. The ads can be selected by reference to an underlying content presented in organic search results. The ads can be combined and supplemented with conventional keyword / pay for placement type services to improve ad performance. The system can also be used for testing content related ads in advance of their presentation to potential third party partners in an advertising campaign.

The invention discloses a search method, a search device and electronic equipment, and relates to the technical field of data processing. The specific implementation scheme of the search method comprises the following steps: receiving search information input by a user; if entity data description information matched with the search information is searched, outputting entity data corresponding to the entity data description information as a search result; if the entity data description information matched with the search information is not searched, acquiring the natural search result of the search information; and determining the entity data of the search information according to the natural search result of the search information. One embodiment of the invention has the following advantages or beneficial effects that a precise entity data search result can be provided for a user, the technical problems that the content contained in the search result is dispersed and complicated and the accurate search result cannot be provided for the user in the existing search mode are solved, and the technical effect of improving the search precision is further achieved.

The invention provides a semantic matching judgment method, and relates to the technical field of computer technologies, intelligent search and deep learning. The specific implementation scheme is asfollows: extracting a search result title of a first text and a search result title of a second text from an obtained natural search result of the first text and an obtained natural search result of the second text; and processing the first text, the second text, the search result title of the first text and the search result title of the second text based on the semantic matching judgment model component to obtain a semantic matching score of the first text and the second text and obtain a semantic matching judgment result of the first text and the second text. The invention further providesa semantic matching judgment device, electronic equipment and a computer readable medium. According to the semantic matching judgment method and device, the electronic equipment and the computer readable medium, the accuracy of the semantic matching judgment result can be improved.

The invention discloses a method and a device for obtaining website natural search ranking. The method comprises: obtaining a search content; obtaining a first search result obtained by searching in asearch engine according to the search content; filtering out contents with preset identifiers in the first search result, to obtain a natural search result, wherein the contents with preset identifiers are used to represent contents that the search engine actively adds; searching a ranking position of a target website in the natural search result; and using a ranking corresponding to the searchedranking position as the ranking of the target website. The method and the device solve technical problems that natural search ranking of a website cannot be directly obtained caused by paid search results included in the search result of the search engine.

In various embodiments, a method for generating from one or more keywords a list of related topics for organic search includes receiving, by a topic tool, an input of one or more keywords for which to generate a list of related topics. The method may further include acquiring, by a crawler, content from a plurality of different web content sources via one or more networks. The method may also include applying, by the topic tool, to the acquired content an ensemble of one or more key phrase extraction algorithms, one or more graph analyses algorithms and one or more natural language processing algorithms to identify a set of semantically relevant topics scored by relevance. The method may also include generating, by the topic tool, from the set of semantically relevant topics, a knowledge graph of related topics for the input of the one or more keywords. The method may further include outputting, by the topic tool based at least partially on the knowledge graph, an enumerated list of topics ranked by at least a relevance score.

The invention discloses a convergence media service platform based on an intelligent application program architecture, which comprises a service platform central system connected with an intelligent application program, and the service platform central system is installed at a host client. The business platform center system comprises a natural search system, a convergence media communication information flow system, an advertisement implantation system and a packaging integration system, and the natural search system is used for accurately matching detailed services or information with user requirements. According to the method, the convergence media service platform is built, convergence media resources such as media resources, members, marketing and content distribution are abstractly packaged and integrated, the convergence media resources are converted into foreground-friendly reusable and shared core capabilities, and conversion from back-end service resources to foreground easy-to-use capabilities is realized; and a strong background support capability is provided for the foreground, so that the service module can be quickly reused and landing.