34 results about "Web page ranking" patented technology

The invention provides a webpage searching result sequencing method based on content reference, belonging to the computer information retrieving technology field. The method is characterized in that firstly, based on various searching terms of diverse users, webpage complete works of various webpage are acquired, all reference lists of each text block in the webpage complete works are acquired by steps of text extraction, text blocking and the establishment of the reference lists, and fifty text blocks which are referred mostly are used as a reference blacklist after the webpage ranking calculation; secondly, when the same user inputs a searching term, the reference blacklist is used as a text block index table during the establishment of the reference list, and the webpage list in the table is used as a reference object during the webpage ranking calculation to acquire all webpage rankings including terms searched by the users. The sequencing method eliminates the webpage interference of navigation property and simultaneously improves the speed of searching and sequencing.

Documents (web pages) are linked together preferably by Semantic Web links. A pages value is determined in part according to the number of links that link to it. The contribution of a link to the pages value is determined based on a user's accessibility of the page having the link. Accordingly page ‘A’ is linked to page ‘B’ wherein page ‘A’ is linked to by ‘x’ pages and page ‘B.’ is linked to by ‘y’ pages. The page value of page ‘A’ to page ‘B’ in determining page ‘B's rank is based in part on the number of qualified users having access to page ‘A’ as well as the number of links ‘x’ linking to page ‘A’.

Methods and systems are provided for efficiently computing page rankings of web pages or other interconnected objects. The rankings are produced by efficiently computing a principal eigenvector of a page ranking transition matrix. The methods and systems provided herein can be used to produce page rankings in a distributed and/or incremental manner, and can be used to allocate computing resources to processing page rankings for those pages that most demand them.

A method of interlacing multiple internet domain names with a database driven website to obtain better webpage ranking on major search engines. This is accomplished by associating internet domain names on the server with designated URLs, which are either a virtual or a dynamic URL. Each designated URL of specific domain name is unique and is mapped to a webpage source code file. Upon user request to access a specific domain name, the designated URL of the specific domain name is parsed by webpage source code file to recognize URL attributes or keywords. Data relevant to the specific domain name is retrieved from the relational database based on the attributes recognized, and displayed on the website of the specific domain name. This allows a website offering multiple products or services to maintain specific domain names for specific products or services in order to achieve greater visibility on internet search engines.

The invention discloses a differentiation webpage ranking method based on PageRank. The method includes: using the PageRank algorithm to calculate the initial webpage ranking of each webpage; evaluating the authority allocation weight of each webpage according to the inlink number of the webpage to acquire a webpage ranking calculation formula; evaluating the authority allocation weight of each webpage according to the total link number of the webpage to obtain another webpage ranking calculation formula; using the webpage ranking calculation formulas to perform iteration calculation on the webpage ranking of each webpage until the webpage ranking of each webpage is stable; using detected garbage webpage number, recall rate, precision and F-Measure value to perform experimental comparisonanalysis to measure the differentiation webpage ranking method so as to achieve effectiveness of PageRank ranking. By the method, the problem that the ranking result of the PageRank algorithm is unreliable due to average link weight allocation is solved.

Embodiments of the invention provide a data processing method and device, a server and a storage medium. The method comprises the following steps of acquiring a first game result set, wherein the first game result set comprises game results of M games selected according to the first update granularity and a first user set participating in the M games, and M is an integer greater than 1; acquiringa current capability value of a target user, wherein the target user is any one user in the first user set; by utilizing a target capability weight distribution method based on a webpage ranking algorithm, the first game result set and the current capability value of the target user, determining an updated capability value of the target user; and determining the game matched with the target user according to the updated capability value of the target user. Through the embodiments, the user capability can be accurately calculated and updated, so that the flexibility of user capability evaluation is improved.

A system and method for ranking web pages based on referrals sent from one user to another. Web pages that are sent to other users are tracked and their information is stored in a referral depository coupled to a referral server. Referral messages are also tracked when the recipient accesses the referred web page and when the recipient further refers the web page to another user. A ranking server can respond to a query regarding accessed web pages by accessing the referral depository and analyzing its contents.

A method for ranking web pages on the basis of hyperlink source analysis mainly includes steps of computing k-adjacent sets of each web page; computing similarities of inbound link sources of each pair of web pages; computing a hyperlink weight matrix of a world wide web; computing the authority of each web page; and ranking the web pages according to the authorities of the web pages. The novel method is used for ranking the web pages on the basis of links. Compared with existing similar methods, the method has the main advantages that computation is efficient and feasible; parameters are few and are easy to set, and a seed page set is omitted; and the method is excellent in performance in the aspects of searching for quality pages and suppressing cheating of web page ranking.

This system provides a web site with favorable web ranking on a local basis by major search engines. It does this by providing a web page containing the proprietary Question & Answer content section (this is the content section in which this patent will cover). The Q&A section contains content about the business, product(s) and location (city, state) and also contains embedded contextual web links that links to similar content within the same business vertical determined by SIC (Standard Industry Code). These outbound links contains primary keywords that the business wants to obtain optimal ranking and will link other businesses within the same state but not the same city so that direct local area competitors are not linked.

The Q&A content section can be deployed as HTML embedded on a separate web page part of a client's web site, or be hosted by anyone else as a micro site.

The invention relates to the technical field of webpage retrieval and concretely relates to a computer webpage ranking method and system. A computer webpage ranking method comprises the following steps of 1) acquiring a webpage set of all webpages linked to any one webpage, 2) utilizing an acquisition unit to acquire ranking information of any one second webpage of the webpage set, total hit number information of all hyperlink of the second webpage, and hit number information of hyperlinks, in which the second webpage is pointed to the first webpage, and 3) calculating a webpage optimization rank of the second webpage according to the second webpage ranking information. A factor of hit number is introduced in the method; if a new page has more hit numbers, the webpage rank can be increased, so a dynamic algorithm related to query is provided; and the webpage ranking is dynamically increased with the increase of user attention.

The invention discloses a method and a device for searching web pages according to tendency values. The method comprises the following steps of: A), acquiring a plurality of web pages, and downloading the web pages to a web page database; B), performing name identification on characters of the plurality of web pages; C), performing tendency analysis on a plurality of names in the plurality of web pages to acquire the tendency values of the plurality of names of the plurality of web pages; D), making a forward index table, wherein the forward index table comprises the tendency values of the plurality of names; E), making an inverted index table, wherein the inverted index table comprises the tendency values of the plurality of names; F), inputting a search item, and decomposing the search item into at least one keyword; and G) calculating the sequencing weights of the web pages comprising the keywords according to the inverted index table, and outputting a search result. According to the method and the device, the web pages containing the search keywords are mainly sequenced according to the tendency values, so that the web pages with depreciative or ameliorative tendency are sequenced in front, and the search satisfaction of a user is promoted.

The invention provides an FPGA circuit layout and resource allocation method based on a webpage ranking algorithm. The method comprises the following steps: 1) constructing a basic unit influence factor sparse matrix M in an FPGA circuit; 2) obtaining a key value vector through iterative optimization; and 3) dividing basic units according to the key value vector, and compiling a layout constraintfile. Compared with the prior art, the method has the advantages that fine-grained circuit resource allocation is carried out on the large-scale FPGA, the layout of the whole system is optimized, andwaste of wiring resources can be effectively reduced; important circuit units on a high fan-out critical path are reasonably arranged, circuit delay increase caused by unreasonable wiring and resourceallocation is reduced, and the time sequence performance of the system is improved; a webpage search algorithm is used for circuit analysis modeling, the FPGA circuit design and development speed isincreased, and development cycle iteration caused by circuit implementation difficulty is reduced.

The invention provides a method and a system for acquiring individuation characteristics of users and documents. According the method, the individuation characteristics of the users and the documents are updated automatically through signals that the users visit the documents. The individuation characteristics of the users are updated according to the individuation characteristics of the documents which are visited by users; the individuation characteristics of the documents are updated according to the individuation characteristic of the users who visit the documents. According to the acquired individuation characteristics of the users and the documents, optimization is carried out to a webpage sort algorithm so as to realize individuation document sorting; further filtering and screening can be carried out to information acquired from a social networking according to the individuation characteristics of the users and the documents. The invention further provides a system for acquiring the individuation characteristics of the users and the documents. The method provided by the invention has the advantages that the precision ratio of a search engine and the anti-cheating capability of a webpage ranking algorithm can be improved, and the information searching efficiency of the social networking is improved.

The invention provides a product recommendation method and device, a storage medium and electronic equipment. The method comprises the following steps: determining a node corresponding to a target customer and a node corresponding to each target product which is not purchased by the target customer through a knowledge graph network trained based on a webpage ranking algorithm, and determining a ranking index of the node corresponding to each target product; wherein the ranking index represents the probability that the node corresponding to the target customer walks to the node corresponding tothe target product; and determining a recommendation index of the target product based on the ranking index of the node corresponding to each target product, and selecting a plurality of recommendation products from all the target products according to the recommendation index of each target product to recommend the products to the target customer. By applying the method provided by the invention, the recommended products are determined based on the random walk of the nodes in the network, so that the diversity of the products recommended to customers is improved, the accuracy of personalizedrecommendation is improved, the product recommendation effect is improved, and the service experience is improved.

The disclosure discloses a search server. The search server comprises an information security degree memory and a post-search processor. The information security degree memory is configured to store information on information security degree of one or more webpage, comprising at least a URL of a webpage and the information security degree of the webpage; the post-search processor obtains from the information security degree memory information on information security degree of a webpage according to the URL of the corresponding webpage in each search result item of the search result list, generates a new ranking score of a webpage according to the ranking score and the information security degree of the webpage, and updates the ranking score in a corresponding search result item in the search result list with the new ranking score so as to re-rank and generate a new search result list. The disclosure further discloses a corresponding search method.

The invention provides a group rating method and device based on a knowledge graph, and electronic equipment, and relates to the technical field of bank account management, and the method comprises the steps: firstly determining a to-be-evaluated group which comprises a plurality of target enterprises based on an investment relation knowledge graph; then, based on an improved webpage ranking algorithm, determining the influence weight of each target enterprise on the to-be-evaluated group; and according to each influence weight and the default probability of the target enterprise, obtaining the default probability of the to-be-evaluated group group to determine the rating of the to-be-evaluated group group. By means of the method, the technical problem that in the prior art, group customer rating is not accurate enough can be solved, and the technical effect of improving group customer risk management and control is achieved.