WO2015043430A1 - Webpage data search method, device and system thereof - Google Patents

Webpage data search method, device and system thereof Download PDF

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Publication number
WO2015043430A1
WO2015043430A1 PCT/CN2014/087079 CN2014087079W WO2015043430A1 WO 2015043430 A1 WO2015043430 A1 WO 2015043430A1 CN 2014087079 W CN2014087079 W CN 2014087079W WO 2015043430 A1 WO2015043430 A1 WO 2015043430A1
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WIPO (PCT)
Prior art keywords
search
results
result
recommended
ranking
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PCT/CN2014/087079
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English (en)
French (fr)
Inventor
Xi Wang
Wei Li
Danzhi CHEN
Kai Zhang
Xin QING
Bosen HE
Sirui LIU
Yulei LIU
Cheng FENG
Zhipei WANG
Ying Huang
Bo Hu
Tingyong TANG
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Tencent Technology (Shenzhen) Company Limited
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Publication of WO2015043430A1 publication Critical patent/WO2015043430A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques

Definitions

  • the present disclosure relates to the communication technology field, and more particularly to a webpage data search method, device and system thereof.
  • a search engine may be a system that is designed to search for information on the World Wide Web according to certain strategies and specific programs, provide search results to users after organizing and processing the searched information, then present the search results to users.
  • Search engines include the following types: full-text index engines, directory index engines, meta search engines, vertical search engines, collective search engines, portal search engines, etc. Different search engines use different search algorithms, and thus provide differing research results. Therefore users often choose between different search engines according to their objectives or may use additional search engines to obtain more search results.
  • Internet browsers may provide a function of switching search engines in search bars or home pages, and thus users can choose a suitable search engine according to their needs before searching. If users are not satisfied with the search results, users need to return to the search bar or home page to select another search engine.
  • these search methods may be inflexible, slow, and may result in reduced search accuracy.
  • Embodiments of the present disclosure provide a webpage data search method, a device and a system thereof, which are flexible, fast, and can improve the search quality.
  • a method may comprise the steps of obtaining a search keyword about the webpage data; searching through multiple search engines according to the search keyword and obtaining search results from the multiple search engines; obtaining quality information of the search results from the multiple search engine, wherein the quality information comprises a clicks ratio, scoring information for the multiple search engines, or occurrence frequency of the search results; determining a recommended search result from among the search results from the multiple search engines according to the quality information; and providing the recommended search result to a user
  • a device may include: a keyword obtaining unit configured to obtain a search keyword; a search unit configured to through multiple search engines according to the search keyword and obtain search results from the multiple search engines; an information obtaining unit configured to quality information of the search results from the multiple search engine, wherein the quality information comprises a clicks ratio, scoring information for the multiple search engines, or occurrence frequency of the search results; a choosing unit configured to determine a recommended search result from among the search results from the multiple search engines according to the quality information; and a recommending unit configured to provide the recommended search result to a user
  • Embodiments of the present disclosure provide increased accuracy and relevancy in search results that can be automatically chosen among search results from multiple search engines and then recommended to one or more users. Thus, users do not need to switch between search engines to compare search results for the same keyword search, which simplifies user’s operation and improves search quality.
  • Fig. 1 is a flowchart of an example webpage data search method according to one embodiment of the present disclosure
  • Fig. 2 is a flowchart of an example webpage data search method according to another embodiment of the present disclosure
  • Fig. 3 is a flowchart of an example webpage data search method according to yet another embodiment of the present disclosure.
  • Fig. 4 is a structural schematic diagram of an example webpage data search device according to one embodiment of the present disclosure.
  • Fig. 5 is a structural schematic diagram of an example terminal according to one embodiment of the present disclosure.
  • the present disclosure provides, as exemplary embodiments, a webpage data search method, device, and system.
  • the detailed description is as follows.
  • the first embodiment is a first embodiment.
  • a webpage data search device is described in this embodiment, which can be integrated in, part of, or implemented by a terminal device.
  • the terminal device may be any type of electronic device, and examples include laptop or desktop computers, smart phones, tablet devices, e-book readers, portable e-mail devices, portable audio devices, wearable electronic devices, etc.
  • the webpage data search device may implement or perform a webpage data search method.
  • the webpage data search method may include the steps of: obtaining a search keyword; searching through multiple search engines according to the search keyword and obtaining search results from the multiple search engines; obtaining quality information of the search results from the multiple search engines, wherein the quality information includes any combination of a clicks ratio, scoring information, and occurrence frequency of the search results; determining a recommended search result among the search results from the multiple search engines according to the quality information; and providing the recommended search result to a user.
  • Fig. 1 shows a flowchart of an example webpage data search method. As shown in Fig. 1, the exemplary method includes the following steps:
  • the search keyword may be any search term that a user may input through a user interface, e. g. , of the webpage data search device or terminal device.
  • the search keyword may be received through a search engine interface, such as through an input box.
  • the search keywords may represent keywords that a user desires webpage data for.
  • step 101 may include receiving search keywords such as “mobile phone” or “Lily’s resume” , which are input in the webpage search interface by users.
  • Step 102 Searching through multiple search engines according to the search keyword and obtaining search results from the multiple search engines.
  • Step 102 may also be described as performing a search for the search keyword through multiple search engines respectively.
  • Step 102 may include utilizing multiple search engines to obtain search results for the search keyword.
  • the exemplary method may including selected five search engines, such as search engine 1, search engine 2, search engine 3, search engine 4, and search engine 5, to perform respective searches for the search keyword and obtain the respective search results from multiple search engines.
  • the search results from the multiple search engines may provide a greater range or results than performing a search for the search keyword using only a single search engine. Thus, the search results may be more relevant or accurate to a user inputting the search keyword.
  • the specific search engines used in the exemplary method may be configured or otherwise adjusted. For example, a user may select one or more of the multiple search engines, e. g. , through a preferences page. The user selection may dictate which particular search engines are used as the multiple search engines. In some variations, a preset list of search engines may be specified, through which the results from the multiple search engines are obtained.
  • Quality information may refer to any metric, criteria, or other data for evaluating one or more search results.
  • the quality information may indicate a relative quality, relevance, usefulness, or any other characteristic of search results from a particular search engine, or a particular search result (e. g. , webpage) returned from one or more search engines.
  • the quality information includes a clicks ratio, scoring information, and/or occurrence frequency, through several other forms of quality information are possible and contemplated.
  • the clicks ratio, scoring information, and/or occurrence frequency may be specific to a particular search result, which may be present in more than one of the search results from the multiple search engines.
  • search engine 1-5 can be obtained, which may include quality information for specific search results within search results 1-5.
  • Step 104 Determining a recommended search result among the search results from the multiple search engines according to the quality information obtained in Step 103.
  • Step 104 may include determining a specific search result among the multiple search results returned from the multiple search engines.
  • the specific search result may be a particular search result returned from one, some, or all of the multiple search engines.
  • the recommended search result may be the search results generated by a particular search engine among the multiple search engines.
  • step 104 may include applying any number of criteria or metrics for the quality information to determine the recommended search result. Two examples are presented next:
  • a first preset strategy may include comprehensively scoring the search results according to the quality information.
  • a comprehensive scoring method may include evaluation methods that include or account for multiple metrics of the quality information.
  • a result of the comprehensive scoring method may include choosing the specific search result which obtains the highest score through the comprehensive scoring method as the recommended search result. The score given to a particular search result through the comprehensive scoring method may be referred to as a comprehensive scoring result.
  • This first preset strategy can be set according to preset criteria and/or users’ preference.
  • a user may configure the particular quality information metrics used and a corresponding proportion or weight, in comprehensively scoring the quality information.
  • a weighted comprehensive scoring method may apply a first weight to a clicks ratio metric, a second weight to a scoring information metric, and a third weight to occurrence frequency metric to obtain the comprehensive scoring result, e. g. , for each of the search results returned by the multiple search engines.
  • the quality information includes clicks ratio, scoring information, and occurrence frequency
  • the respective weights applied to these metrics of quality information may be 30%, 50% and 20%, respectively.
  • comprehensive scoring result (30%*score of clicks ratio) + (50%*score of scoring information) + (20%*score of occurrence frequency) .
  • the scoring for each of these metrics may be implemented in any way to gauge the quality or relevance of a search result and normalized to allow comparison between the various quality information metrics.
  • the quality information including a clicks ratio, scoring information and occurrence frequency is just one example.
  • the quality information does not have to include at least one of clicks ratio, scoring information and occurrence frequency, and the quality information can include other factors or metrics aside for these three metrics.
  • the weight or proportion of specified for the particular quality information metrics e. g. , clicks ratio, scoring information and occurrence frequency
  • the proportion can be set according to the needs, goals, criteria, and/or preference of users or a system implementing the exemplary webpage data search method.
  • the formula specified above is just given as an example, and other formulas can be used in this embodiment.
  • a second preset strategy for determining the recommended search result may include ranking the search results from the multiple search engines according to a single quality information metric. Upon ranking the search results, a ranking result can be obtained, and the recommended search result can be selected according to the ranking result.
  • the second preset strategy can be set or configured according to one or more preset configurations and/or users’ preference. For example, a user can selected a particular quality information metric to rank the search results from the multiple search engines, such as according to the clicks ratio, according to scoring information, or according to occurrence frequency. The ranking may occur from highest to lowest or from lowest to highest.
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking result may include selecting the first search result in the ranking results as the recommended search result; and/or
  • a method of determining the recommended search result among the search results from the multiple search results according to the ranking result may include selecting the last search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search results according to the ranking result may include selecting the first search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking result may include selecting the last search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking results may include selecting the first search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking results is selecting the last search result in the ranking results as the recommended search result.
  • the quality information can include any number of additional or alternative factors or metrics besides clicks ratio, scoring information, and occurrence frequency.
  • step 104 may include determining the set of search results from a particular search engine among the multiple search engines as the recommended search result.
  • the quality information may be used to evaluate and rank, respectively, each of the set of search results from the multiple search engines. Then, one of the set of search results (e. g. , the search results returned by search engine 1) may be determined as the recommended search results.
  • providing the recommended search result obtained in Step 104 to a user may be presented visually to a user, such as through a user interface of display of a terminal or a webpage data search device.
  • providing the recommended search result may include providing a visual priority indication for the recommended search result.
  • the recommended search result may be presented in a page of total or overall search results, and the visual priority indication may alert a user of the recommended search result.
  • One example of the visual priority indication includes adding a “recommended” marking proximate to (e. g. , beside or next to) the recommended search result.
  • the visual priority indication may be provided with a specific color, font, bold, underline, as a configurable image, or as any other indication to prioritize the recommended search result.
  • the method may include displaying other search engines and/or the search results found by other search engines other than the recommended search result or the search results from the particular search engine that returned the recommended search result. Doing so may allow users to conveniently select and switch between non-recommended search results and their respective search engines.
  • the webpage data search method may further comprise displaying one or more links of other non-recommended search results and/or the corresponding search engine logos so that users can switch among different search results, and this may occur before, concurrently, or after providing the recommended research result.
  • the recommended search result determined by the previous method steps may be search result 1, which is returned by search engine 1.
  • Search result 1 can be given priority during presentation in the search result webpage, e. g. , by being marked with a “recommended” visual priority indication and/or by presenting search result 1 at the top or other prominent/prioritized location in the search results page.
  • other search engines results e.g. , the remaining non-recommended results
  • these non-recommended results may include a search engine marking, such as the markings of search engine 2, search engine 3, search engine 4, search engine 5 and web links to corresponding non-recommended search results for these search engines.
  • the rank or order of presentation of the search results from the multiple search engines may be decided by or correspond to the quality information of the search results.
  • a webpage data search method may comprise: obtaining a search keyword; searching through multiple search engines according to the keyword; obtaining search results from each of the multiple search engines; obtaining the respective quality information of each search result from the multiple search engines; determining a recommended search result from among the search results from the multiple search engines according to the quality information; and providing the recommended search result to a user.
  • a more accurate and relevant search result can be automatically selected among the search results from multiple search engines, which may include applying any number of metrics for quality information in performing the determination of the selected search result.
  • the method may provide increased efficiency and flexibility for users as users do not need to switch between or individually perform searches using the multiple search engines in order to compare every search result.
  • the method may provide simplified user operation and improve the search quality.
  • the webpage data search device may be integrated in the terminal.
  • the webpage data search device may perform a webpage data search method, such as the exemplary method shown in Fig. 2.
  • a shown in Fig. 2, the exemplary webpage data search method may include the following steps:
  • the terminal obtains the search keyword.
  • the search keyword may be any search term that a user may input through a user interface of the terminal device.
  • the terminal may receive the search keyword through a search engine interface, such as through an input box of a webpage presented by the terminal.
  • the search keywords may represent keywords that a user desires webpage data for.
  • step 201 may include the terminal receiving search keywords such as “mobile phone” or “Lily’s resume” , which are input in the webpage search interface by users.
  • the terminal searches through multiple search engines according to the search keyword and obtains search results from the multiple search engines. Put another way, the terminal may perform a search for the search keyword respectively using multiple search engines.
  • the terminal may utilize multiple search engines to obtain search results for the search keyword. For example, the terminal may identify a set of selected search engines to respectively perform a search for the search keyword, e. g. , five search engines identified as search engine 1, search engine 2, search engine 3, search engine 4, and search engine 5.
  • the terminal may obtain the respective search results from the multiple search engines.
  • the search results from the multiple search engines may provide a greater range or results than performing a search for the search keyword using only a single search engine. Thus, the search results may be more relevant or accurate to a user inputting the search keyword.
  • the specific search engines used by the terminal may be configured or otherwise adjusted. For example, a user may select one or more of the multiple search engines through the terminal, e. g. , through a preferences page presented by the terminal. The user selection may dictate which particular search engines the terminal identifies as the multiple search engines. In some variations, the terminal may utilize a preset list of search engines, through which the results from the multiple search engines are obtained.
  • the terminal obtains quality information of the search results from the multiple search engines.
  • Quality information may refer to any metric, criteria, or other data for evaluating one or more search results.
  • the quality information may indicate a relative quality, relevance, usefulness, or any other characteristic of search results from a particular search engine, or a particular search result (e. g., webpage) returned from one or more search engines.
  • the terminal may obtain all kinds of search result or search engine-related information from a server side of a search engine, and the terminal may calculate the quality information so as to obtain the quality information.
  • the terminal may directly obtain the quality information from a direct source, e. g. , through cloud computing.
  • the quality information includes a clicks ratio, scoring information, and/or occurrence frequency, through several other forms of quality information are possible and contemplated. The clicks ratio, scoring information, and/or occurrence frequency may be specific to a particular search result, which may be present in more than one of the search results from the multiple search engines
  • search engine 1-5 can be obtained, which may include quality information for specific search results within search results 1-5.
  • the terminal may perform a comprehensive scoring method for the search results according to a first preset strategy and obtain a comprehensive scoring result.
  • a first present strategy may include comprehensively scoring the search results according to the quality information.
  • the terminal may perform evaluation methods that include or account for multiple metrics of quality information.
  • a result of the comprehensive scoring method may include the terminal selecting the specific search result which obtains the highest score through the comprehensive scoring method as the recommended search result.
  • the score given to a particular search result through the comprehensive scoring process may be referred to as a comprehensive scoring result.
  • This first preset strategy can be set according to preset criteria and/or users’ preference.
  • the terminal may receive a user configuration and configure the particular quality information metrics used and a corresponding proportion or weight used to comprehensively score the quality information.
  • the terminal may perform comprehensive scoring by applying a first weight to a clicks ratio metric, a second weight to a scoring information metric, and a third weight to occurrence frequency metric to obtain the comprehensive scoring result, e. g. , for each of the search results returned by the multiple search engines.
  • the quality information includes clicks ratio, scoring information, and occurrence frequency
  • the terminal may apply respective weights applied to these metrics of quality information of 30%, 50%and 20%, respectively.
  • comprehensive scoring result (30%*score of clicks ratio) + (50%*score of scoring information) + (20%*score of occurrence frequency) .
  • the scoring for each of these metrics may be implemented in any way to gauge the quality or relevance of a search result and normalized to allow comparison between the various quality information metrics
  • the quality information including a clicks ratio, scoring information and occurrence frequency is just one example.
  • the quality information does not have to include at least one of clicks ratio, scoring information and occurrence frequency, and the quality information can include other factors or metrics aside for these three metrics.
  • the weight or proportion of specified for the particular quality information metrics e. g. , clicks ratio, scoring information and occurrence frequency
  • the proportion can be set according to the needs, goals, criteria, and/or preference of users or a system implementing the exemplary webpage data search method.
  • the formula specified above is just given as an example, and other formulas can be used in this embodiment.
  • the terminal determines the particular search result with the highest score in the comprehensive scoring results as a recommended search result among these search results from the multiple search engines. For example, if the terminal determines “search result 1” has received the highest comprehensive scoring result in Step 204, the terminal may determine “search result 1” as the recommended search result.
  • the terminal provides the recommended search result obtained in Step 205 to a user.
  • the terminal may visually present the recommended search result to a user, such as through a user interface of display of a terminal.
  • the terminal provides the recommended search result by providing a visual priority indication for the recommended search result.
  • the terminal may present the recommended search result with a visual priority indication in a search result page of total or overall search results, and the visual priority indication may alert a user of the recommended search result.
  • One example of the visual priority indication includes presenting a “recommended” marking proximate to (e. g. , beside or next to) the recommended search result.
  • the terminal may apply particular visual characteristics to the visual priority indication, for example by presenting the visual priority indication with a specific color, font, bold, underline, as a configurable image, or through any other visual configuration to prioritize the recommended search result.
  • step 207 can be executed to accomplish this.
  • the terminal displays links of other non-recommended search results and a corresponding search engine logo, allowing the user to switch among different search engine results.
  • the terminal may display other search engines and/or the search results found by other search engines other than the recommended search result or the search results from the particular search engine that returned the recommended search result. Doing so may allow users to conveniently select and switch to non-recommended search results and their respective search engines.
  • the terminal may display one or more links to the non-recommended search results, and the terminal may present a corresponding search engine logo with the non-recommended search result. By doing this, the terminal may allow users to switch or toggle among different search results, and the terminal may do so before, concurrently, or after providing the recommended research result.
  • the terminal may determine the recommended search result as search result 1, which is returned by search engine 1.
  • Search result 1 can be given priority by the terminal during presentation of a search results page, e. g. , by marking search result 1 with a “recommended” visual priority indication and/or by presenting search result 1 at the top or other prominent/prioritized location in the search results page.
  • the terminal may present other search engines results (e. g. , the remaining non-recommended results) behind or below search result 1, and these non-recommended results may include a search engine marking presented by the terminal, such as the markings (e. g.
  • search engine 2 logos of search engine 2
  • search engine 3 search engine 4
  • search engine 5 web links to corresponding non-recommended search results for these other search engines.
  • the rank or order of presentation of the search results from the multiple search engines may be decided by or correspond to the quality information of the search results.
  • a terminal may perform a method which comprises: obtaining a search keyword by the terminal; searching through multiple search engines according to the keyword; obtaining search results from each of the multiple search engines; obtaining the respective quality information of each search result from the multiple search engines; comprehensively scoring the quality information and obtaining a comprehensive scoring result; determining the search result with the highest score for the comprehensive scoring as the recommended search result; and providing the recommended search result to a user.
  • a more accurate and relevant search result can be automatically selected among the search results from multiple search engines, which may include applying any number of metrics for quality information in performing the determination of the selected search result.
  • the method may provide increased efficiency and flexibility for users as users do not need to switch between or individually perform searches using the multiple search engines in order to compare every search result.
  • the method may provide simplified user operation and improve the search quality.
  • the webpage data search device may be integrated in the terminal.
  • the webpage data search device may perform a webpage data search method, such as the exemplary method shown in Fig. 3.
  • the terminal may directly rank the search results according to a particular quality information metric to determine the recommended research result.
  • the exemplary webpage data search method may include the following steps:
  • the terminal obtains the search keyword.
  • the search keyword may be any search term that a user may input through a user interface of the terminal device.
  • the terminal may receive the search keyword through a search engine interface, such as through an input box of a webpage presented by the terminal.
  • the search keywords may represent keywords that a user desires webpage data for.
  • step 301 may include the terminal receiving search keywords such as “mobile phone” or “Lily’s resume” , which are input in the webpage search interface by users
  • the terminal searches through multiple search engines according to the search keyword and obtains search results from the multiple search engines. Put another way, the terminal perform a search for the search keyword respectively through multiple search engines.
  • the terminal may utilize multiple search engines to obtain search results for the search keyword. For example, the terminal may identify a set of selected search engines to respectively perform a search for the search keyword, e. g. , five search engines identified as search engine 1, search engine 2, search engine 3, search engine 4, and search engine 5.
  • the terminal may obtain the respective search results from the multiple search engines.
  • the search results from the multiple search engines may provide a greater range or results than performing a search for the search keyword using only a single search engine. Thus, the search results may be more relevant or accurate to a user inputting the search keyword.
  • the specific search engines used by the terminal may be configured or otherwise adjusted. For example, a user may select one or more of the multiple search engines through the terminal, e. g. , through a preferences page presented by the terminal. The user selection may dictate which particular search engines the terminal identifies as the multiple search engines. In some variations, the terminal may utilize a preset list of search engines, through which the results from the multiple search engines are obtained.
  • the terminal obtains quality information of the search results from the multiple search engines.
  • Quality information may refer to any metric, criteria, or other data for evaluating one or more search results.
  • the quality information may indicate a relative quality, relevance, usefulness, or any other characteristic of search results from a particular search engine, or a particular search result (e. g., webpage) returned from one or more search engines.
  • the terminal may obtain all kinds of search result or search engine-related information from a server side of a search engine, and the terminal calculate the quality information so as to obtain the quality information.
  • the terminal may directly obtain the quality information from a direct source, e. g. , through cloud computing.
  • the quality information includes a clicks ratio, scoring information, and/or occurrence frequency, through several other forms of quality information are possible and contemplated. The clicks ratio, scoring information, and/or occurrence frequency may be specific to a particular search result, which may be present in more than one of the search results from the multiple search engines
  • search engine 1-5 can be obtained, which may include quality information for specific search results within search results 1-5.
  • the terminal applies a second preset strategy to rank the search results according to a particular quality information metric and obtains a ranking result.
  • the second preset strategy for determining the recommended search result may include the terminal ranking the search results from the multiple search engines according to single quality information metric. Upon ranking the search results, the terminal may obtain a ranking result.
  • the second preset strategy can be set or configured by the terminal according to one or more preset configurations, criteria, and/or users’ preference.
  • the terminal may receive a user selection specifying a particular quality information metric to rank the search results from the multiple search engines by, such as according to the clicks ratio, according to scoring information, or according to occurrence frequency. The ranking may occur from highest to lowest or from lowest to highest. Examples of the particular quality information metric and ranking order for the second preset strategy include:
  • the quality information can include any number of additional or alternative factors or metrics besides clicks ratio, scoring information, and occurrence frequency, which are present for exemplary purposes.
  • the terminal determines the recommended search result from among the search results from the multiple search engines according to the ranking result.
  • the specific determination may vary based on the ranking methodology, and some examples are presented next:
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking result may include selecting the first search result in the ranking results as the recommended search result; and/or
  • a method of determining the recommended search result among the search results from the multiple search results according to the ranking result may include selecting the last search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search results according to the ranking result may include selecting the first search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking result may include selecting the last search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking results may include selecting the first search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking results is selecting the last search result in the ranking results as the recommended search result.
  • the quality information can include any number of additional or alternative factors or metrics besides clicks ratio, scoring information, and occurrence frequency.
  • the terminal may visually present recommended search result to a user, such as through a user interface of display of a terminal.
  • the terminal provides the recommended search result by providing a visual priority indication for the recommended search result.
  • the terminal may present the recommended search result with a visual priority indication in a search result page of total or overall search results, and the visual priority indication may alert a user of the recommended search result.
  • the visual priority indication includes presenting a “recommended” marking proximate to (e.g. , beside or next to) the recommended search result.
  • the terminal may apply particular visual characteristics to the visual priority indication, for example by presenting the visual priority indication with a specific color, font, bold, underline, as a configurable image, or through any other visual configuration to prioritize the recommended search result.
  • step 307 can be executed to accomplish this.
  • the terminal displays links of other non-recommended search results and a corresponding search engine logo, allowing the user to switch among different search engine results.
  • the terminal may display other search engines and/or the search results found by other search engines other than the recommended search result or the search results from the particular search engine that returned the recommended search result. Doing so may allow users to conveniently select and switch to non-recommended search results and their respective search engines.
  • the terminal may display one or more links to the non-recommended search results, and the terminal may present a corresponding search engine logo with the non-recommended search result. By doing this, the terminal may allow users to switch or toggle among different search results, and the terminal may do so before, concurrently, or after providing the recommended research result.
  • the terminal may determine the recommended search result as search result 1, which is returned by search engine 1.
  • Search result 1 can be given priority by the terminal during presentation of a search results page, e. g. , by marking search result 1 with a “recommended” visual priority indication and/or by presenting search result 1 at the top or other prominent/prioritized location in the search results page.
  • the terminal may present other search engines results (e. g. , the remaining non-recommended results) can be presented behind or below search result 1, and these non-recommended results may include a search engine marking presented by the terminal, such as the markings (e. g.
  • search engine 2 logos of search engine 2
  • search engine 3 search engine 4
  • search engine 5 web links to corresponding non-recommended search results for these other search engines.
  • the rank or order of presentation of the search results from the multiple search engines may be decided by or correspond to the quality information of the search results.
  • a terminal may perform a method which comprises: obtaining a search keyword by the terminal; searching through multiple search engines according to the keyword; obtaining search results from each of the multiple search engines; obtaining the respective quality information of each search result from the multiple search engines; ranking the search results according to quality information using the second preset strategy; determining the recommended search result among the search results from multiple search engines according to the ranking result; and providing the recommended search result to a user.
  • a more accurate and relevant search result can be automatically selected among the search results from multiple search engines, which may include applying any number of metrics for quality information in performing the determination of the selected search result.
  • the method may provide increased efficiency and flexibility for users as users do not need to switch between or individually perform searches using the multiple search engines in order to compare every search result.
  • the method may provide simplified user operation and improve the search quality.
  • the fourth embodiment provides a webpage data search device.
  • the exemplary device shown in Fig. 4 includes a keyword obtaining unit 401, a search unit 402, an information obtaining unit 403, a choosing unit 404 and a recommending unit 405.
  • the units may be implemented as any combination of hardware or software, including as circuitry.
  • the keyword obtaining unit 401 may be configured to obtain a search keyword, e. g. , to use to search for webpage data.
  • the search keyword may be received through a search engine interface, such as through an input box.
  • the search keywords may represent keywords that a user desires webpage data for.
  • step 101 may include receiving search keywords such as “mobile phone” or “Lily’s resume” , which are input in the webpage search interface by users.
  • the search unit 402 may be configured to search through multiple search engines according to the search keyword and obtain search results from the multiple search engines. Put another way, the search unit 402 may perform a search for the search keyword respectively through multiple search engines.
  • the search unit 402 may utilize multiple search engines to obtain search results for the search keyword. For example, the search unit 402 may identify a set of selected search engines to respectively perform a search for the search keyword, e. g., five search engines identified as search engine 1, search engine 2, search engine 3, search engine 4, and search engine 5.
  • the search unit 402 may obtain the respective search results from the multiple search engines.
  • the search results from the multiple search engines may provide a greater range or results than performing a search for the search keyword using only a single search engine. Thus, the search results may be more relevant or accurate to a user inputting the search keyword.
  • the specific search engines used by the search unit 402 may be configured or otherwise adjusted. For example, a user may select one or more of the multiple search engines through a terminal, e. g. , through a preferences page presented by the terminal. The user selection may dictate which particular search engines the search unit 402 identifies as the multiple search engines. In some variations, the search unit 402 may utilize a preset list of search engines, through which the results from the multiple search engines are obtained
  • the information obtaining unit 403 may be configured to obtain quality information of the search results from the multiple search engines.
  • Quality information may refer to any metric, criteria, or other data for evaluating one or more search results.
  • the quality information may indicate a relative quality, relevance, usefulness, or any other characteristic of search results from a particular search engine, or a particular search result (e. g. , webpage) returned from one or more search engines.
  • the information obtaining unit 403 may obtain all kinds of search result or search engine-related information from a server side of a search engine, and the information obtaining unit 403 may calculate the quality information so as to obtain the quality information.
  • the information obtaining unit 403 may directly obtain the quality information from a direct source, e. g. , through cloud computing.
  • the quality information includes a clicks ratio, scoring information, and/or occurrence frequency, through several other forms of quality information are possible and contemplated. The clicks ratio, scoring information, and/or occurrence frequency may be specific to a particular search result, which may be present in more than one of the search results from the multiple search engines.
  • search engine 1-5 can be obtained, which may include quality information for specific search results within search results 1-5.
  • the choosing unit 404 may be configured to determine a recommended search result from among the search results from the multiple search engines according to the quality information.
  • the choosing unit 404 may determine a specific search result among the multiple search results returned from the multiple search engines.
  • the specific search result may be a particular search result returned from one, some, or all of the multiple search engines.
  • the recommended search result may be the search results generated by a particular search engine among the multiple search engines.
  • choosing unit 404 may apply any number of criteria, determination methods, and metrics for determining the recommended search result. Some examples are presented next.
  • the choosing unit 404 can include a scoring subunit and a choosing subunit.
  • the scoring subunit may be configured to perform a first preset strategy by performing a comprehensive scoring method for scoring the search results. That is, the first present strategy may include comprehensively scoring the quality information.
  • a comprehensive scoring method may include evaluation methods that include or account for multiple metrics of quality information.
  • a result of the comprehensive scoring method may include choosing the specific search result which obtains the highest score through the comprehensive scoring method as the recommended search result. The score given to a particular search result through the comprehensive scoring method may be referred to as a comprehensive scoring result.
  • the choosing subunit may be configured to determine the search result the specific search result which obtains the highest score through the comprehensive scoring method as the recommended search result.
  • This first preset strategy can be set according to preset criteria and/or users’ preference.
  • a user may configure the particular quality information metrics used and a corresponding proportion or weight, in comprehensively scoring the quality information.
  • the choosing unit 404 may apply a weighted comprehensive scoring method that includes applying a first weight to a clicks ratio metric, a second weight to a scoring information metric, and a third weight to occurrence frequency metric to obtain the comprehensive scoring result, e. g. , for each of the search results returned by the multiple search engines.
  • the quality information includes clicks ratio, scoring information, and occurrence frequency
  • the respective weights applied by the choosing unit 404 to these metrics of quality information may be 30%, 50%and 20%, respectively.
  • comprehensive scoring result (30%*score of clicks ratio) + (50%*score of scoring information) + (20%*score of occurrence frequency) .
  • the scoring for each of these metrics may be implemented in any way to gauge the quality or relevance of a search result and normalized to allow comparison between the various quality information metrics.
  • the quality information including a clicks ratio, scoring information and occurrence frequency is just one example.
  • the quality information does not have to include at least one of clicks ratio, scoring information and occurrence frequency, and the quality information can include other factors or metrics aside for these three metrics.
  • the weight or proportion of specified for the particular quality information metrics e. g. , clicks ratio, scoring information and occurrence frequency
  • the proportion can be set according to the needs, goals, criteria, and/or preference of users or a system implementing the exemplary webpage data search method.
  • the formula specified above is just given as an example, and other formulas can be used in this embodiment.
  • the choosing unit 404 may include a ranking subunit and a second choosing subunit.
  • the ranking subunit may be configured to rank the search results from the multiple search engines according to a single quality information metric to obtain a ranking result.
  • the second choosing subunit may be configured to determine the recommended search result from the search results from the multiple search engines according to the ranking result.
  • the second preset strategy can be set or configured according to one or more preset configurations and/or users’ preference. For example, a user can selected a particular quality information metric to rank the search results from the multiple search engines, such as according to the clicks ratio, according to scoring information, or according to occurrence frequency. The ranking may occur from highest to lowest or from lowest to highest. Accordingly, the second choosing subunit may be configured to:
  • the quality information can include any number of additional or alternative factors or metrics besides clicks ratio, scoring information, and occurrence frequency.
  • the recommending unit 405 may be configured to provide the recommended search result to a user.
  • the recommending unit 405 may visually present the recommended search result to a user, such as through a user interface of display of a recommending unit 405.
  • the recommending unit 405 provides the recommended search result by providing a visual priority indication for the recommended search result.
  • the recommending unit 405 may present the recommended search result with a visual priority indication in a search result page of total or overall search results, and the visual priority indication may alert a user of the recommended search result.
  • One example of the visual priority indication includes presenting a “recommended” marking proximate to (e. g. , beside or next to) the recommended search result.
  • the recommending unit 405 may apply particular visual characteristics to the visual priority indication, for example by presenting the visual priority indication with a specific color, font, bold, underline, as a configurable image, or through any other visual configuration to prioritize the recommended search result.
  • the webpage data search device may further comprise a displaying unit for displaying links of other non-recommended search results and a corresponding search engine logo, allowing the user to switch among different search engine results. That is, the displaying unit may display one or more links of other non-recommended search results and a corresponding search engine logo respectively corresponding to the non-recommended search results.
  • the recommending unit 405 e. g. , display unit within the recommending unit 405 may display other search engines and/or the search results found by other search engines other than the recommended search result or the search results from the particular search engine that returned the recommended search result.
  • the recommending unit 405 may display one or more links to the non-recommended search results, and the terminal may present a corresponding search engine logo with the non-recommended search result. By doing this, the recommending unit 405 may allow users to switch or toggle among different search results, and the terminal may do so before, concurrently, or after providing the recommended research result.
  • the recommending unit 405 may identify the recommended search result as search result 1, which is returned by search engine 1.
  • Search result 1 can be given priority by the terminal during presentation of a search results page, e. g. , by marking search result 1 with a “recommended” visual priority indication and/or by presenting search result 1 at the top or other prominent/prioritized location in the search results page.
  • the recommending unit 405 may present other search engines results (e. g. , the remaining non-recommended results) behind or below search result 1.
  • These non-recommended results may include a search engine marking presented by the recommending unit 405, such as the markings (e. g.
  • search engine 2 logos of search engine 2
  • search engine 3 search engine 4
  • search engine 5 web links to corresponding non-recommended search results for these other search engines.
  • the rank or order of presentation of the search results from the multiple search engines may be decided by or correspond to the quality information of the search results
  • the units mentioned above can be implemented as independent physical or logical elements, or they can be implemented in combination as one or multiple combined elements. Any of the units may implement any combination of the method steps discussed above as well.
  • the webpage data search device disclosed herein can be integrated in a terminal device, which may take any number of forms.
  • Example terminal devices include smart phones, tablet personal computers, laptops, e-book readers, MP3, MP4 and desktop computers, etc.
  • an exemplary webpage data search device may include a keyword obtaining unit 401, a search unit 402, an information obtaining unit 403, a choosing unit 404 and a recommending unit 405.
  • a more accurate and relevant search result can be automatically selected among the search results from multiple search engines, which may include applying any number of metrics for quality information in performing the determination of the selected search result.
  • the device may provide increased efficiency and flexibility for users as users do not need to switch between or individually perform searches using the multiple search engines in order to compare every search result.
  • the device may provide simplified user operation and improve the search quality.
  • the present disclosure also provides a communication system, which includes any combination of features implemented by the webpage data search device provided by the fourth embodiment.
  • the webpage data device may implement any combination of the methods described above.
  • the webpage data search device may be integrated into a terminal, and the terminal may be configured to obtain a search keyword; perform a search for the search keyword through multiple search engines respectively to obtain search results from the multiple search engines; obtain quality information of the search results from the multiple search engines; determine a recommended search result from among the search results from the multiple search engines according to the quality information; and providing the recommended search result to a user.
  • the quality information can include various metrics to evaluate search results, such as a clicks ratio, scoring information, and/or occurrence frequency of the search results.
  • the terminal may determine the recommended search result.
  • the terminal may be configured to comprehensively score the search results by taking into account multiple metrics of the quality information in accordance with a first preset strategy. In doing so, the terminal may obtain a comprehensive scoring result, wherein the first preset strategy can be set according to preset configurations and/or through preference of users.
  • the quality information can be comprehensively scored according to a weighted scoring of clicks ratio, scoring information and/or occurrence frequency.
  • the terminal may additionally or alternatively apply a second preset strategy by ranking the search results according to a single quality information metric. In doing so, the terminal may obtain ranking results, and determine the recommended search result according to the ranking results.
  • the second preset strategy can be set according to a preset configuration and/or preference of users.
  • the quality information can be ranked according to the clicks ratio, scoring information, or occurrence frequency from highest to lowest or from lowest to highest.
  • this communication system can also include a server, such as a webpage server, which may be configured to perform any of the method steps described above and provide the search result to the terminal.
  • a server such as a webpage server
  • the computation and search result determination may be performed on the back end server instead of the terminal.
  • any combination of the steps described herein may be split between the server and the terminal.
  • this communication system may include any one of the webpage data search devices provided by the embodiments in the present disclosure, thus it can obtain the same effects with the webpage data search device, which is not repeated here.
  • the present disclosure also provides a terminal, which integrates the webpage data search devices mentioned before, as shown in Fig. 5, this terminal can include a RF circuit 501, a memory 502 which comprises one or more computer readable storage mediums, an input unit 503, a display unit 504, a sensor 505, an audio circuit 506, a WiFi module 507, a processor 508 which comprises one or more processing cores and a power supply 509.
  • a terminal which integrates the webpage data search devices mentioned before, as shown in Fig. 5, this terminal can include a RF circuit 501, a memory 502 which comprises one or more computer readable storage mediums, an input unit 503, a display unit 504, a sensor 505, an audio circuit 506, a WiFi module 507, a processor 508 which comprises one or more processing cores and a power supply 509.
  • the terminal is not limited by the terminal structures shown in Fig. 5, which can include more or fewer components or combinations of some components or different component layout.
  • the RF circuit 501 is arranged for receiving and sending signals during calling or process of receiving and sending message. Specially, the RF circuit 501 will receive downlink information from the base station and send it to the processor 508; or send uplink data to the base station.
  • the RF circuit 501 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (LNA) , a diplexer, and the like.
  • the RF circuit 501 can communicate with network or other devices by wireless communication.
  • Such wireless communication can use any one communication standard or protocol, which includes, but is not limited to, Global System of Mobile communication (GSM) , (General Packet Radio Service, GPRS) , (Code Division Multiple Access, CDMA) , (Wideband Code Division Multiple Access, WCDMA) , (Long Term Evolution, LTE) , email, or (Short Messaging Service, SMS) .
  • GSM Global System of Mobile communication
  • GPRS General Packet Radio Service
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • LTE Long Term Evolution
  • SMS Short Messaging Service
  • the memory 502 can be arranged for storing software program and module which will be run by the processor 508, so as to perform multiple functional applications of the mobile phone and data processing.
  • the memory 502 mainly includes storing program area and storing data area.
  • the storing program area can store the operating system, at least one application program with required function (such as sound playing function, image playing function, etc. ) .
  • the storing data area can store data established by mobile phone according to actual using demand (such as audio data, phonebook, etc. )
  • the memory 502 can be high-speed random access memory, or nonvolatile memory, such as disk storage, flash memory device, or other volatile solid-state memory devices.
  • the memory 502 can also include a memory controller so that the process 508 and the input unit 503 can access to the memory 502.
  • the input unit 503 can be used for receiving the input numbers or character information, and generating the keyboard, mouse, operating lever, optical or trackball signal input which is related to user setting and function control.
  • the input unit 503 can include touch sensitive surface and other input devices.
  • the touch sensitive surface which can also be called touch display screen or touchpad, can collect user’s touch operations thereon or nearby (for example the operations generated by fingers of user or touchpen, and the like, touching on the touch sensitive surface or touching near the touch sensitive surface) , and drive the corresponding connection device according to the preset program.
  • the touch sensitive surface includes two portions including a touch detection device and a touch controller.
  • the touch detection device is arranged for detecting touch position of the user and detecting signals accordingly, and then sending the signals to the touch controller. Subsequently, the touch controller receives touch information from the touch detection device, and converts it to contact coordinates which are to be sent to the processor 508, and then receives command sent by the processor 508 to perform.
  • the input unit 503 can include, but is not limited to, other input devices, such as one or more selected from physical keyboard, function keys (such as volume control keys, switch key-press, etc. ) , a trackball, a mouse, and an operating lever, etc. .
  • the display unit 504 can be used for displaying the information input by users or the information provided to users or all kinds of graphic user interfaces, wherein the graphic user interfaces can be composed of graphics, texts, irons, and videos or any combination of these things.
  • the display unit 504 includes a display panel, such as a Liquid Crystal Display (LCD) , or an Organic Light-Emitting Diode (OLED) .
  • the display panel can be covered by the touch sensitive surface, after touch operations are detected on or near the touch sensitive surface, they will be sent to the processor 508 to determine the type of the touching event. Subsequently, the processor 508 supplies the corresponding visual output to the display panel according to the type of the touching event.
  • the touch sensitive surface and the display panel are two individual components to implement input and output of the mobile phone, but they can be integrated together to implement the input and output in some embodiments.
  • the terminal can also include at least one kind of sensor 505, such as light sensors, motion sensors, or other sensors.
  • the light sensors includes ambient light sensors for adjusting brightness of the display panel according to the ambient light, and proximity sensors for turning off the display panel and/or maintaining backlight when the mobile phone is moved to the ear side.
  • Accelerometer sensor as one of the motion sensors can detect the magnitude of accelerations in every direction (Triaxial, generally) , and detect the magnitude and direction of gravity in an immobile status, which is applicable to applications of identifying attitudes of the mobile (such as switching between horizontal and vertical screens, related games, magnetometer attitude calibration, etc. ) , vibration recognition related functions (such as pedometer, percussion, etc. ) .
  • the terminal also can configure other sensors (such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. ) whose detailed descriptions are omitted here.
  • the audio circuit 506, loudspeaker, microphone can provide the audio interface between users and the terminal.
  • the audio circuit 506 can send the electronic signal which is converted from the received audio data to the loudspeaker, after receiving the electronic signal, the loudspeaker converts it into the sound signal and outputs the sound signal.
  • the microphone converts the sound signal into the electronic signal
  • the audio circuit 506 receives the electronic signal, converts it into audio data, and then sends the audio data to the processor 508, after processing the audio data, the processor 508 sends the data to the other terminal via the RF circuit 501 or sends the data to the memory 502.
  • the audio circuit 506 also includes earplug jacks, thus the earphone set outside can communicate with the terminal.
  • WiFi pertains to a short-range wireless transmission technology providing a wireless broadband Internet, by which the terminal can help the user to receive and send email, browse web, and access streaming media, etc. .
  • the WiFi module 507 is illustrated in Fig. 5, it should be understood that the WiFi module 507 is not a necessary component of the terminal, which can be omitted according to the actual demand without changing the essence of the present disclosure.
  • the processor 508 is a controlling center of the terminal, which uses every interface and line to connect every part of the mobile phone, runs the program and/or module stored in the memory 502 and calls the data in the memory 502 to execute every function of the terminal and process the data so as to monitor the mobile phone.
  • the processor 508 can include one or more processing units; the processor 508 can integrate with application processors and modem processors, for example, the application processors include processing operating system, user interface and applications, etc. ; the modern processors are used for performing wireless communication. It can be understood that, it’s an option to integrate the modern processors to the processor 508.
  • the terminal can also include the power supply 509 (such as battery) supplying power for each component, preferably, the power supply can be logically connected to the processor 508 through the power supply management system so as to perform recharging management, discharging management and power management.
  • the power supply 509 can include one or more DC powers or AC powers, rechargeable systems, power supply fault detection systems, power converters or inverters, power supply status indicators.
  • the terminal can also include a camera, Bluetooth modules.
  • the processor 508 in the terminal can load the executable files corresponding to the application programs to the memory 502, thus the processor 508 can run the application program stored in the memory 502 to realize all kinds of function.
  • the display unit of the terminal may be a touch-screen monitor, and the terminal may also include a memory and one or more programs (e. g. , processor executable instructions) stored in the memory.
  • the processor 508 may execute instructions or programs to perform the following operations: obtaining a search keyword; searching through multiple search engines according to the keyword; obtaining search results from each of the multiple search engines; obtaining the respective quality information of each search result from the multiple search engines; determining a recommended search result from among the search results from the multiple search engines according to the quality information; and providing the recommended search result to a user.
  • the quality information can include clicks ratio, scoring information and/or occurrence frequency of the search results.
  • the instructions may cause the processor to apply any number of criteria or metrics for the quality information to determine the recommended search result. Two examples are presented next:
  • a first present strategy may include comprehensively scoring the quality information.
  • a comprehensive scoring method may include evaluation methods that include or account for multiple metrics of quality information.
  • a result of the comprehensive scoring method may include choosing the specific search result which obtains the highest score through the comprehensive scoring method as the recommended search result. The score given to a particular search result through the comprehensive scoring method may be referred to as a comprehensive scoring result.
  • This first preset strategy can be set according to preset criteria and/or users’ preference.
  • a user may configure the particular quality information metrics used and a corresponding proportion or weight, in comprehensively scoring the quality information.
  • a weighted comprehensive scoring method may apply a first weight to a clicks ratio metric, a second weight to a scoring information metric, and a third weight to occurrence frequency metric to obtain the comprehensive scoring result, e. g. , for each of the search results returned by the multiple search engines.
  • the quality information includes clicks ratio, scoring information, and occurrence frequency
  • the respective weights applied to these metrics of quality information may be 30%, 50% and 20%, respectively.
  • comprehensive scoring result (30%*score of clicks ratio) + (50%*score of scoring information) + (20%*score of occurrence frequency) .
  • the scoring for each of these metrics may be implemented in any way to gauge the quality or relevance of a search result and normalized to allow comparison between the various quality information metrics.
  • the quality information including a clicks ratio, scoring information and occurrence frequency is just one example.
  • the quality information does not have to include at least one of clicks ratio, scoring information and occurrence frequency, and the quality information can include other factors or metrics aside for these three metrics.
  • the weight or proportion of specified for the particular quality information metrics e. g. , clicks ratio, scoring information and occurrence frequency
  • the proportion can be set according to the needs, goals, criteria, and/or preference of users or a system implementing the exemplary webpage data search method.
  • the formula specified above is just given as an example, and other formulas can be used in this embodiment.
  • a second preset strategy for determining the recommended search result may include ranking the search results from the multiple search engines according to a single quality information metric. Upon ranking the search results, a ranking result can be obtained, and the recommended search result can be selected according to the ranking result.
  • the second preset strategy can be set or configured according to one or more preset configurations and/or users’ preference. For example, a user can selected a particular quality information metric to rank the search results from the multiple search engines, such as according to the clicks ratio, according to scoring information, or according to occurrence frequency. The ranking may occur from highest to lowest or from lowest to highest.
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking result may include selecting the first search result in the ranking results as the recommended search result; and/or
  • a method of determining the recommended search result among the search results from the multiple search results according to the ranking result may include selecting the last search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search results according to the ranking result may include selecting the first search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking result may include selecting the last search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking results may include selecting the first search result in the ranking results as the recommended search result;
  • a method of determining the recommended search result among the search results from the multiple search engines according to the ranking results is selecting the last search result in the ranking results as the recommended search result.
  • the quality information can include any number of additional or alternative factors or metrics besides clicks ratio, scoring information, and occurrence frequency.
  • the terminal can also display other search engines and/or the search results found by other search engines so that users can select and switch search engines conveniently, that is to say the webpage data search method further comprises displaying links of other non-recommended search results and the corresponding search engine logos so that users can switch among different search results after recommending the recommended research result to users.
  • Such program can be stored in a tangible computer-readable storage medium such as read-only memory, random access memory, magnetic or optical disk, etc.
  • the methods, devices, processing, systems, and units, described above may be implemented in many different ways and in many different combinations of hardware and software.
  • all or parts of the implementations may be circuitry that includes an instruction processor, such as a Central Processing Unit (CPU) , microcontroller, or a microprocessor; an Application Specific Integrated Circuit (ASIC) , Programmable Logic Device (PLD) , or Field Programmable Gate Array (FPGA) ; or circuitry that includes discrete logic or other circuit components, including analog circuit components, digital circuit components or both; or any combination thereof.
  • the circuitry may include discrete interconnected hardware components and/or may be combined on a single integrated circuit die, distributed among multiple integrated circuit dies, or implemented in a Multiple Chip Module (MCM) of multiple integrated circuit dies in a common package, as examples.
  • MCM Multiple Chip Module
  • the circuitry may further include or access instructions for execution by the circuitry.
  • the instructions may be stored in a tangible storage medium that is other than a transitory signal, such as a flash memory, a Random Access Memory (RAM) , a Read Only Memory (ROM) , an Erasable Programmable Read Only Memory (EPROM) ; or on a magnetic or optical disc, such as a Compact Disc Read Only Memory (CDROM) , Hard Disk Drive (HDD) , or other magnetic or optical disk; or in or on another machine-readable medium.
  • a product such as a computer program product, may include a storage medium and instructions stored in or on the medium, and the instructions when executed by the circuitry in a device may cause the device to implement any of the processing described above or illustrated in the drawings.
  • the implementations may be distributed as circuitry among multiple system components, such as among multiple processors and memories, optionally including multiple distributed processing systems.
  • Parameters, databases, and other data structures may be separately stored and managed, may be incorporated into a single memory or database, may be logically and physically organized in many different ways, and may be implemented in many different ways, including as data structures such as linked lists, hash tables, arrays, records, objects, or implicit storage mechanisms.
  • Programs may be parts (e. g. , subroutines) of a single program, separate programs, distributed across several memories and processors, or implemented in many different ways, such as in a library, such as a shared library (e. g. , a Dynamic Link Library (DLL) ) .
  • the DLL may store instructions that perform any of the processing described above or illustrated in the drawings, when executed by the circuitry.
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