36 results about "Search engine optimization" patented technology

Methods, systems, and devices are disclosed for adjusting an image such that its vector representation more closely aligns with the vector representation of one or more intended search terms, and less closely aligns with the vector representation of one or more non-intended search terms. The method includes accessing an image and the intended and non-intended search terms. The image is iteratively adjusted using a machine learning system operating using a loss function that rewards adjustments resulting in an increase in the similarity score of the intended search terms, and penalizes adjustments resulting in an increase in the similarity score of the non-intended search terms. The loss function also penalizes increases in the perceptual loss between the input image and the adjusted image. The adjusted image may be uploaded to a sharing platform to improve the accuracy of search and organization of the adjusted image.

The present disclosure provides a search engine optimization (SEO) system comprising a remote server. The remote server comprises a memory with a set of executable routines and a search engine database with multiple fields of applications, each associated with multiple URLs indexed with a user engagement matrix, written data, and a search engine ranking. A processor acquires a web link from a computing device, extracts textual content, analyzes relevancy, and retrieves relevant URLs. The processor evaluates a thematic score, a readability score, and an emotional tone data using NLP techniques, analyzes written data of each URL to determine a topic weight, a legibility weight, and a sentiment tone data, develops a machine learning model, applies the model to recommend content alterations, and renders the alterations at the computing device.

The invention discloses a processing method and device for search engine optimization, electronic equipment and a storage medium, and the method comprises the steps: carrying out search optimization for obtaining search engine recommendation on a target information object to be put into a network through a target generative model, and obtaining an optimized target information object; putting the optimized target information object to a network; searching metadata by an engine for searching the optimized target information object, and accessing the metadata by a user; generating multi-dimensional model optimization data according to information content, engine search metadata and user access metadata contained in an optimized target information object page released to a network, and a search-recommendation rule of a search engine; optimizing and storing the target generative model by adopting an optimization mode matched with the model optimization data of each dimension; therefore, the ranking of the website links of the optimized target information object in the search result of the search engine is improved.

The invention relates to the technical field of search engine optimization, in particular to a search engine optimization method based on big data and a readable storage medium. The method comprises the steps of analyzing market and user demands, determining innovation keywords, positioning projects or products, including AI and big data analysis, so as to improve the innovation and competitiveness of the products or services, collecting technical application effect data, establishing a continuous monitoring mechanism, and tracking the effects of all steps. Iterative optimization is carried out according to market changes and user feedback, and a closed loop is formed. According to the method and the device, the purpose of comprehensively improving the search engine optimization effect is achieved, and particularly, keyword ranking improvement, flow increase, user experience improvement, mobile equipment adaptation optimization and continuous iteration optimization of strategies are achieved.

The invention discloses a search engine optimization article generation method and device, electronic equipment and a storage medium, and relates to the technical field of information processing. The method comprises the steps of obtaining a target keyword and at least one website address input by an operation interface; respectively accessing each website address, crawling article content containing the target keyword in a webpage of the website address, and retrieving a historical document associated with the target keyword in a pre-constructed knowledge base; and inputting the article content and the historical document into a pre-trained large language model to obtain a search engine optimization article with the same architecture as the historical document. By the adoption of the method, the newest expression mode can be quickly known, current event hotspots can be closely followed, the exposure degree can be increased, the uniqueness can be kept, manual writing is not needed, the response speed is higher, and the processing efficiency is greatly improved.

Aspects described herein generally relate to improving search engine optimization (SEO) by improving a process for selecting keywords for search engine optimization, constructing work requests based on selected keywords and output from a first and second large learning model (LLM), and selecting potential contributors to draft articles based on the work requests and prior drafting experience. More specifically, aspects provide for faster construction of work requests and selection of potential qualified contributors. Aspects further provide for improved ability to track SEO improvements for selected keywords.

A method for assisting web page authors to create more comprehensive content, which in turn increases the search engine optimization ranking of the web page by utilizing available artificial intelligence engines to analyze the information gaps between the author's existing content and other related existing content located on the internet.

The invention provides a search engine optimization method, search engine optimization equipment and a computer readable medium, in the scheme, search engine optimization processing is dynamically completed by CDN node equipment in the page resource access process, and manual maintenance does not need to depend on website page related management personnel any more; therefore, the optimization result can be dynamically adjusted according to the real-time change of the actual environment, SEO effect lag is avoided, and meanwhile the time cost and the labor cost of manual maintenance are greatly reduced. Besides, the optimization processing is executed by the CDN node, and the distributed architecture of the CDN is utilized, so that the computing resources of the source station are not occupied, and the performance of the source station is not influenced.

The invention discloses an intelligent website building content generation and optimization method based on artificial intelligence, and particularly relates to the technical field of artificial intelligence, and the method specifically comprises the following steps: automatically building website contents based on search engine optimized keywords according to an input theme by utilizing an artificial intelligence technology, and storing the website contents in a database; the method comprises the following steps of: evaluating word thickness information of a keyword by applying search engine optimization to obtain an optimized spiral coefficient, evaluating performance experience information of automatically constructed contents by applying a website performance evaluation method to obtain a loading interaction coefficient, establishing an optimized bias model by combining the optimized spiral coefficient and the loading interaction coefficient, obtaining an optimized bias index, and establishing an optimized bias model; according to the method, the preset optimization bias threshold value is compared with the optimization bias index, the content generation quality and efficiency are subjected to classification evaluation, the optimization direction used for artificial intelligence automatic generation is controlled according to the classification evaluation result, and the optimization logic control problem of site building optimization for the randomly generated content is effectively improved.

The invention discloses a live broadcast content automatic abstract and structured SEO mark generation method and system, and mainly relates to the technical field of artificial intelligence and search engine optimization. Comprising the following steps: collecting multi-modal data of a live stream in real time, the multi-modal data comprising video data, audio data, interactive text data and metadata; based on the collected multi-modal data, performing multi-modal semantic fusion to generate a semantic event flow with a timestamp; generating a structured SEO mark based on the generated semantic event stream; a request from a search engine crawler is identified and a static response page is generated based on the generated structured SEO tag. The method has the beneficial effects that multi-modal real-time understanding and semantic alignment of live broadcast contents are realized, a dynamic structured SEO mark can be automatically generated, and the collection rate of a search engine, the rich media display effect and user click conversion are remarkably improved.

Embodiments of a method for automatic search engine optimization (SEO) of funnel websites in a tiered software framework comprises: generating at a first tier, a prompt for an artificial intelligence (AI) model to provide recommendations for improving search rankings of a seed website; receiving from the AI model, SEO format recommendations, and SEO content recommendations; generating websites by modifying the seed website according to a unique selection from the SEO format recommendations and the SEO content recommendations; associating each website with a corresponding SEO score based on performance in a web search; ranking and sorting the websites according to the respective SEO scores; generating choices of the ranked websites; providing the choices to a second tier and receiving a selection therefrom for a number of iterations; and deploying, by the funnel website application the final selection at a public universal resource locator.

To efficiently take measures against SEO.SOLUTION: A query acquisition unit (501) of an SEO (Search Engine Optimization) information acquisition system (1) acquires a query to be used for search in a predetermined service. A related category acquisition unit (502) acquires a related category which is used for search in the predetermined service and related to the query. An SEO information acquisition unit (503) acquires, based on the related category, SEO information regarding SEO for a search result page according to the query in the predetermined service.SELECTED DRAWING: Figure 5

The application discloses a search engine optimization method and device, equipment and a storage medium. The method is applied to the natural language processing field of artificial intelligence, and comprises the following steps: acquiring a page keyword of a target website, wherein the page keyword is a keyword extracted from page information of the target website through natural language processing (NLP); determining a target keyword according to search information related to the page keyword in the search engine; and adjusting website information of the target website according to the target keyword, wherein the website information is used by the search engine to determine a search keyword of the target website. The method realizes automatic search engine optimization of the website and improves the efficiency of search engine optimization.

An object of a system according to an embodiment is to provide a consumer with optimal purchase timing and discount information, and to allow a store establishment company to secure a budget necessary for SEO countermeasures.SOLUTION: A system includes a collection part, a provision part, an operation part, means, and a budget part. The collection unit collects a purchase history and a browsing history of a consumer. The providing unit provides appropriate purchase timing or discount information based on the data collected by the collecting unit. The operating unit operates points that are not used. The means increases the exposure opportunity of its own company merchandise by the increase of profits due to the increase of the number of consumers and point operation. The budget section secures a budget for devoting a budget required for the SEO countermeasure.SELECTED DRAWING: Figure 1

The present invention discloses a page configuration method and device for search engine optimization, which relates to the field of computer technology, and the main purpose is to improve the probability of each layer page in a multi-level page being included by a search engine; the main technical solution includes: when any layer page in the multi-level page needs to perform search engine optimization configuration, obtaining the search engine optimization plan corresponding to the current layer page from the background management system, wherein, in the background management system, there is a search engine optimization plan corresponding to each layer page in the multi-level page, and the search engine optimization plan includes the title, keywords and description of the corresponding layer page; adding a title tag and a meta information tag under the head tag of the current layer page; configuring the title obtained in the search engine optimization plan under the title tag, and configuring the keywords and the description under the meta information tag.

The invention discloses a diffusion enhancement relation-based triple extraction method, which comprises the following steps of: 1) inputting a Chinese text into a BERT model, and converting the Chinese text into a corresponding index to obtain word embedding information; 2) inputting word embedding information into a triple diffusion model, and performing noise addition, feature fusion and de-noising processing to obtain a predicted triple; 3) inputting word embedding information into the character feature extraction network model, learning semantic information through a multi-layer perceptron and a double-affine attention mechanism in combination with relative position coding and a multi-head attention module, relieving a label imbalance problem by adopting a word embedding disturbance mechanism, and outputting a relation triple matrix; and 4) respectively decoding the triads obtained in the two steps, and taking union sets to obtain a final relation triad. According to the method, the boundary diffusion information and the character-level semantic information are fused, so that the problems that Chinese semantics are complex, natural separators are lacked, small-field data semantics extraction is insufficient, extraction of a traditional decoding method is incomplete, labels are unbalanced and the like are effectively solved, the accuracy and integrity of Chinese relation triple extraction and model stability are remarkably improved, and the method is suitable for large-scale popularization and application. The method is suitable for various natural language processing application scenes such as information questions and answers and search engine optimization.

An object of the system according to the embodiment is to quickly generate a high-quality landing page or blog article based on a description or specification of a product and apply an SEO countermeasure.SOLUTION: A system includes an input unit, a generation unit, and an optimization unit. The input unit receives a description and specifications of a product from a user. The generation part generates a landing page and a related blog article on the basis of the description and specifications of the article received by the input part. The optimization unit applies an SEO countermeasure to the landing page and the related blog article generated by the generation unit.SELECTED DRAWING: Figure 1

A method is provided for generating product description information for a product. The method includes receiving a request to generate the product description information, retrieving product data for the product, and determining user instructions indicated in the request. The method further includes retrieving one or more contextual datasets curated with information relevant to the product. The one or more contextual datasets include one or more of: search engine optimization data, brand standards data, industry or organization norms data, and target consumer preferences data. The method further includes generating the product description information by providing the product data, the one or more user instructions, and the one or more contextual datasets as inputs to a data model to cause the data model to output the product description information. The method further includes providing the product description information for display on a user interface of a device or application.

The invention relates to the field of the Internet, and discloses a keyword analysis and processing method and system based on search engine optimization (SEO), comprising: obtaining a keyword library of a target website webpage; obtaining the current exposure of the target website webpage under the initial keyword library, and when the current exposure is lower than a set exposure standard, inputting core keywords into a search engine for searching, obtaining a complete phrase set automatically provided by a search bar and a plurality of competing website webpages; obtaining the keyword libraries of all competing website webpages, and performing keyword blank analysis according to the complete phrase set and the keyword library of the competing website webpages, to obtain a plurality of blank long-tail keywords; determining the best keyword combination in the keyword library of the target website webpage, and expanding the keyword library of the target website webpage according to the best keyword combination; the invention can help small and medium-sized or start-up enterprise websites avoid direct competition with large brands, and improve the exposure rate of enterprise websites.

Embodiments of a method for automatic search engine optimization (SEO) of funnel websites in a tiered software framework comprises: generating at a first tier, a prompt for an artificial intelligence (AI) model to provide recommendations for improving search rankings of a seed website; receiving from the AI model, SEO format recommendations, and SEO content recommendations; generating websites by modifying the seed website according to a unique selection from the SEO format recommendations and the SEO content recommendations; associating each website with a corresponding SEO score based on performance in a web search; ranking and sorting the websites according to the respective SEO scores; generating choices of the ranked websites; providing the choices to a second tier and receiving a selection therefrom for a number of iterations; and deploying, by the funnel website application the final selection at a public universal resource locator.

A website building system includes at least one processor, at least one database, a WBS editor, an SEO tool, an analyzer, a design recommender, a component receiver, a component SEO ranker, and an updater. The database holds SEO performance data for website components. The WBS editor lets a user pick a first website component, shows information, and takes user commands. The SEO tool helps with SEO. Its analyzer, responding to the first component's selection, checks the database for SEO ranking data for that component and others. The design recommender guides design. Its component receiver gets the user-chosen first component. Its component SEO ranker compares the first component's ranking with others to find a higher-ranking second component, then suggests replacement. The updater, on user command, swaps the components on a webpage, preserving and transferring content.

One example method includes using an ensemble including machine learning (ML) forecasting models, determining respective relationships between past media spends and changes in search engine optimization (SEO) driven consumer demand for a product or service, ranking the relationships according to a criterion, based on the ranking, generating a forecast that comprises recommended future media spends, and effects expected to be achieved by those future media spends, and implementing the recommended future media spends.

The present invention discloses a search engine optimization method and apparatus, an electronic device, and a readable storage medium. Among them, the method includes: obtaining visual information of a target page; determining a page title and core text in the target page according to the visual information; and including the target page according to the page title and the core text. The present invention solves the technical problem that in the related art, since search engine optimization is not performed on the target page, the content information of the target page cannot be accurately obtained.

A website building system (WBS) includes at least one processor, one database storing the WBS components and component compositions of multiple websites and multiple per search engine SEO (search engine optimization) behaviors. The per search engine SEO behavior is associated with one website and one search engines and the per search engine SEO behavior contains information that enables ranking the website, the ranking is associated with one of the search engines and an SEO tool running on the processor to provide per search engine recommendations related to changes to the WBS components and component compositions when accessed by at least one search engine based on the per search engine SEO behavior.

A website creation platform capable of assisting in improving the search ranking of a network search engine. By combining a website creation function with a search engine optimization function, a user can automatically optimize the website creation platform on the basis of a network search ranking algorithm as long as related settings (such as text data and picture data) are input during website creation, and can automatically rewrite content, so that a created website is favored by a search engine, thereby improving the overall exposure of the website; therefore, the user can easily optimize the website of the user without delegating a website optimization engineer, i.e., improving the search ranking of the website and increasing the exposure of the website, thereby reducing the website creation difficulty.

Example embodiments involve a system and methods for identifying valuable view item pages for search engine optimization. The system and methods provide an improvement over existing systems, which do nothing to identify or select valuable view item pages for use in driving traffic from display sites. The system and methods described herein improve the earlier system by predicting the probability of future traffic for a given product based on a number of product level factors as input variables, and identifying a selection of view item pages corresponding to the products with the probability of the highest future traffic in order to maximize the driving natural search traffic to a linked site of the corresponding view item page.

This invention discloses a method and system for automatically summarizing and generating structured SEO tags for live streaming content, primarily relating to the fields of artificial intelligence and search engine optimization (SEO). The method includes the following steps: real-time acquisition of multimodal data from the live stream, including video data, audio data, interactive text data, and metadata; multimodal semantic fusion based on the acquired multimodal data to generate a timestamped semantic event stream; generation of structured SEO tags based on the generated semantic event stream; identification of requests from search engine crawlers; and generation of a static response page based on the generated structured SEO tags. The beneficial effects of this invention are: it achieves real-time multimodal understanding and semantic alignment of live streaming content, and can automatically generate dynamic structured SEO tags, significantly improving search engine indexing rates, rich media display effects, and user click-through rates.

The application relates to the technical field of search engine optimization, in particular to a search engine optimization method based on big data and a readable storage medium. The method comprises the following steps: determining innovative keywords through market and user demand analysis, positioning a project or a product, including AI and big data analysis, so as to improve the innovation and competitiveness of the product or service, collecting technical application effect data and establishing a continuous monitoring mechanism to track the effect of all steps, iteratively optimizing according to market changes and user feedback, and forming a closed loop. The application achieves the purpose of comprehensively improving the search engine optimization effect, and the specific performance is that the keyword ranking is improved, the traffic is increased, the user experience is improved, the mobile device adaptation optimization is optimized, and the strategy is continuously iteratively optimized.

The embodiment of the invention provides a data query method and device based on distributed link tracking, equipment and a medium. The method comprises the following steps: acquiring original link tracking data of each service instance; obtaining a data flow table of a preset data theme, determining a target theme corresponding to the original link tracking data according to the data flow table, and sending the original link tracking data to the target theme; processing the original link tracking data through a stream processing task corresponding to the target theme to obtain target link tracking data corresponding to the original link tracking data; and storing the target link tracking data to a preset search engine, wherein the search engine is used for data query. According to the embodiment of the invention, the storage position of the link tracking data is dynamically determined through the data flow table, and the link tracking data is processed in batches through different flow processing tasks, so that the efficiency and real-time performance of data processing are improved, the processed data is stored in the corresponding search engine, the data storage structure is optimized, and the efficiency of data query is effectively improved.

This invention discloses a keyword search intent analysis method and system based on GEO, relating to the field of search engine optimization technology. The method includes: constructing an initial clustering structure; extracting locally anomalous node regions based on the local sparse distribution characteristics of semantic matching relationships between nodes and keywords in the initial clustering structure; reconstructing semantic paths between nodes based on the asymmetric topological characteristics of the contextual paths between nodes within the locally anomalous node regions, forming an optimized candidate semantic path set; and determining the subdivided search intent corresponding to the target keyword by combining the non-stationary topological characteristics of the state transition topology of the contextual sequences in the candidate semantic path set and using path state inference from a conditional random field model. This invention achieves the parsing of the multi-contextual semantic structure of search keywords, which is beneficial for the subdivided identification of search intent in a generative engine optimization environment.