CN104933099B - Method and device for providing target search result for user - Google Patents
Method and device for providing target search result for user Download PDFInfo
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- CN104933099B CN104933099B CN201510284805.8A CN201510284805A CN104933099B CN 104933099 B CN104933099 B CN 104933099B CN 201510284805 A CN201510284805 A CN 201510284805A CN 104933099 B CN104933099 B CN 104933099B
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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
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
Abstract
The invention aims to provide a method and a device for providing a target search result for a user. The method and the device can respond to the search sequence input by the user and directly provide the target search result in the preferred search results corresponding to the search sequence to the user based on the determined corresponding relation. In addition, at least part of the preferred search results corresponding to at least part of the search sequences in the corresponding relation between each search sequence and one or more preferred search results acquired by the invention is determined by the search history of the specific user. Therefore, the invention can shorten the path from the user inputting the search sequence to the user finally obtaining the corresponding target search result, so that the user can quickly obtain the content page. The invention can enable the user to quickly and accurately obtain the content page browsed by the user.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a technology for providing a target search result for a user.
Background
Currently, search engines such as Baidu search engine and Google search engine can provide search services for users to obtain the required search result information.
The process of searching is typically: the user firstly inputs a search sequence of keywords, keywords and the like and searches. The search engine then provides the user with a page that includes a plurality of search results. The user then selects the search results in the page that the user wishes to browse to open and browse the corresponding content page. However, the problem with this search process is that: the path from the user entering the search sequence to his final acquisition of the corresponding content page is too long for the user to quickly acquire the content page he wishes to browse.
Further, users often encounter the following problems in searching: when a user wishes to browse a previously browsed content page again, the user typically has to search again and select the previously selected search result again among the pages comprising the plurality of search results before re-opening the content page. Obviously, such a search process is too cumbersome and complex to provide a content page to a user quickly and accurately. This search process is not yet intelligent enough.
Disclosure of Invention
The invention aims to provide a method and a device for providing a target search result for a user.
According to one aspect of the present invention, a method for providing a target search result for a user is provided, wherein the method comprises:
-obtaining a correspondence between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to each search sequence is determined at least in part by a search history of a user;
wherein, the method also comprises:
-obtaining the user entered search sequence;
-determining a target search result from the corresponding preferred search results based on the user-entered search sequence;
-providing the target search result directly to the user.
According to another aspect of the present invention, there is also provided an apparatus for providing a target search result to a user, wherein the apparatus includes:
-means for obtaining a correspondence between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to each search sequence is determined at least in part by a search history of a user;
wherein, the device still includes:
-means for obtaining the user-entered search sequence;
-means for determining a target search result from the corresponding preferred search results based on the user-entered search sequence;
-means for providing said target search result directly to the user.
Compared with the prior art, the method and the device can respond to the search sequence input by the user and directly provide the target search result in the preferred search result corresponding to the search sequence to the user based on the determined corresponding relation. In addition, at least part of the preferred search results corresponding to at least part of the search sequences in the corresponding relation between each search sequence and one or more preferred search results acquired by the invention is determined by the search history of the specific user. Therefore, the invention can shorten the path from the user inputting the search sequence to the user finally obtaining the corresponding target search result, so that the user can quickly obtain the content page. The invention can enable the user to quickly and accurately obtain the content page browsed by the user.
According to a preferred embodiment of the present invention, a user searches a search sequence and selects and browses one search result in a page including a plurality of search results, the search result may be determined as a preferred search result corresponding to the search sequence. When the user searches based on the search sequence again, the present invention can directly provide the user with the preferred search result corresponding to the search sequence based on the previously determined correspondence relationship between the search sequence and the preferred search result.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
FIG. 1 illustrates a flow diagram of a method for providing targeted search results to a user, according to one embodiment of the invention;
FIG. 2 illustrates a flow diagram of a method for providing targeted search results to a user in accordance with a preferred embodiment of the present invention;
FIG. 3 is a diagram illustrating an apparatus for providing targeted search results to a user, according to one embodiment of the present invention;
fig. 4 is a diagram illustrating an apparatus for providing a user with a target search result according to a preferred embodiment of the present invention.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The term "computer device" or "computer" in this context refers to an intelligent electronic device that can execute predetermined processes such as numerical calculation and/or logic calculation by running predetermined programs or instructions, and may include a processor and a memory, wherein the predetermined processes are executed by the processor by executing program instructions prestored in the memory, or the predetermined processes are executed by hardware such as ASIC, FPGA, DSP, or a combination thereof. Computer devices include, but are not limited to, servers, personal computers, laptops, tablets, smart phones, and the like.
The computer devices include, for example, user devices and network devices. Wherein the user equipment includes but is not limited to smart phones, PDAs, notebook computers, desktop computers, etc.; the network device includes, but is not limited to, a single network server, a server group consisting of a plurality of network servers, or a Cloud Computing (Cloud Computing) based Cloud consisting of a large number of computers or network servers, wherein Cloud Computing is one of distributed Computing, a super virtual computer consisting of a collection of loosely coupled computers. Wherein the computer device can be operated alone to implement the invention, or can be accessed to a network and implement the invention through interoperation with other computer devices in the network. The network in which the computer device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a VPN network, and the like.
It should be noted that the user equipment, the network device, the network, etc. are only examples, and other existing or future computer devices or networks may also be included in the scope of the present invention, and are included by reference.
The methodologies discussed hereinafter, some of which are illustrated by flow diagrams, may be implemented by hardware, software, firmware, middleware, microcode, hardware description languages, or any combination thereof. When implemented in software, firmware, middleware or microcode, the program code or code segments to perform the necessary tasks may be stored in a machine or computer readable medium such as a storage medium. The processor(s) may perform the necessary tasks.
Specific structural and functional details disclosed herein are merely representative and are provided for purposes of describing example embodiments of the present invention. The present invention may, however, be embodied in many alternate forms and should not be construed as limited to only the embodiments set forth herein.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element may be termed a second element, and, similarly, a second element may be termed a first element, without departing from the scope of example embodiments. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used herein, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be noted that, in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed substantially concurrently, or the figures may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
The present invention is described in further detail below with reference to the attached drawing figures.
The invention may be implemented by a user equipment. Specifically, the user equipment acquires the corresponding relation between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to at least part of the search sequences is determined by the search history of one user; subsequently, the user equipment acquires a search sequence input by the user; then, the user equipment determines a target search result from the corresponding preferred search result according to the search sequence input by the user; the user device then provides the targeted search results directly to the user.
Preferably, the solution of the invention can be implemented by an application with browser features installed and running in the user equipment. Here, the application having browser characteristics is typically a browser, which includes various browser application programs running on a desktop computer or a notebook computer, and various browser APPs running on a mobile terminal or various APPs having browser functions. Further, the solution of the present invention can be integrated as a functional module in the aforementioned application with browser feature.
The mobile terminal includes, but is not limited to, any handheld electronic product based on an intelligent operating system, which can perform human-computer interaction with a user through an input device such as a keyboard, a virtual keyboard, a touch pad, a touch screen, and a voice control device, such as a smart phone, a tablet computer, and the like. The smart operating system includes, but is not limited to, any operating system that enriches device functionality by providing various mobile applications to the mobile device, such as Android (Android), IOS, Windows Phone, etc.
Furthermore, the present invention may also be implemented by a network device. Specifically, the network device obtains a corresponding relation between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to at least part of the search sequences is determined by a search history of a user; then, the network equipment acquires the search sequence input by the user; then, the network equipment determines a target search result from the corresponding preferred search result according to the search sequence input by the user; the network device then provides the target search results directly to the user.
Preferably, the solution of the invention can be implemented by a search engine.
For simplicity, the present invention is exemplified by a browser providing a target search result for a user. It will be appreciated by those skilled in the art that the solution of providing targeted search results to a user by a network device or other device is also intended to be included within the scope of the present invention and is hereby incorporated by reference.
FIG. 1 illustrates a method flow diagram, which specifically illustrates a process for providing targeted search results to a user, in accordance with one embodiment of the present invention. In step S1, the browser obtains a correspondence relationship between each search sequence and one or more preferred search results, where at least part of the preferred search results corresponding to at least part of the search sequences is determined at least in part by a search history of a user; in step S2, the browser acquires the search sequence input by the user; in step S3, the browser determines a target search result from the corresponding preferred search results according to the search sequence input by the user; in step S4, the browser provides the target search result directly to the user.
It will be appreciated by those skilled in the art that steps S2, S3, and S4 are typically performed continuously. The steps S1 and S2, S3, and S4 may be performed continuously or not.
Specifically, in step S1, the browser obtains the correspondence between each search sequence and one or more preferred search results, where at least part of the preferred search results corresponding to at least part of the search sequences is determined at least in part by the search history of one user.
The search sequence includes, but is not limited to, various user-submitted character strings for searching, such as keywords, sentences, and other characters.
Here, the search result means result information corresponding to a search sequence returned by the search engine for the user. Search results may typically include information such as page title, page summary, page links, etc. For simplicity of illustration, the search results are represented herein mostly as page links. The preferred search result means a search result that is better than other search results among the search results returned by the search engine. Preferred search results are, for example, search results that have been viewed by a user in a historical manner or search results that have been viewed by a large number of statistical users.
The correspondence between each search sequence and the preferred search result obtained by the browser is shown in table 1 below, for example:
TABLE 1
As shown in Table 1, the respective partial preferred search results for at least a portion of the search sequence are determined from the search history of a particular user.
For example, the search sequences "first score", "marketing procedure", "new wave", "search fox", at least some of the respective corresponding preferred search results are determined by a search history of a user.
The search history includes, but is not limited to, any history information related to the search.
The search history may be in the form of a log. Further, for example, the search history includes the following log information: one user searches based on the search sequence "french scores" and opens the page links to the search results "http:// sports. sina. com. cn/g/style 1/table. html". The browser may determine the search result as a preferred search result based on the search history in the form of a log. The search history in the form of a log may be a local search history stored locally in the browser, or may be a cloud search history stored in the network device.
The search history may also be in the form of user behavior. Further, for example, a user searches based on the search sequence "New wave" and opens a search result with a page link "http:// www.sina.com". The browser may determine the search result as a preferred search result based on the search history in the form of user behavior.
Each user may be identified based on the user's identification information, such as the user's registered account. Alternatively, each user may be identified based on identification information of the user equipment, such as a user equipment serial number or the like.
The browser can obtain the correspondence between each search sequence and one or more preferred search results respectively in at least 2 ways:
1) the browser acquires the corresponding relation between each search sequence and one or more preferred search results from other devices.
The other devices include, but are not limited to, network devices such as a search engine, and other user devices such as a mobile phone and an ipad.
For example, the search engine may send, to the browser, a correspondence between each search sequence determined based on the search history of the user stored in the cloud and one or more preferred search results, and accordingly, the browser obtains the correspondence.
2) The browser locally records the corresponding relation between each of at least one search sequence input by the user and one or more preferred search results respectively based on the search history of the user, wherein each preferred search result is determined by the search result historically browsed by the user in the search results corresponding to the corresponding search sequence.
Here, the browser may analyze the user's historical search records to locally record the correspondence of the search sequence to the preferred search results. For example, if the search result of the user's historical browsing in the search results corresponding to the search sequence "surf" is "http:// www.sina.com.cn/", the search result may be determined to be the preferred search result. And the browser locally records the corresponding relation between the search sequence 'Xinlang' and the preferred search result 'http:// www.sina.com.cn/'.
In step S2, the browser acquires the search sequence input by the user.
Here, the present invention can determine a corresponding preferred search result only for any one of the aforementioned correspondence relationships. For clarity, the search sequence in the foregoing correspondence may be referred to as an effective search sequence.
If the search sequence input by the user belongs to the effective search sequence in the corresponding relation, the search sequence input by the user is the effective search sequence, and the browser can directly acquire the search sequence input by the user.
If the search sequence input by the user does not belong to the effective search sequence in the corresponding relation, the browser preprocesses the search sequence input by the user to obtain a corresponding effective search sequence, and takes the processed search sequence as the search sequence input by the user.
Wherein the preprocessing includes but is not limited to a dictionary tree matching process, a regular expression verification process, and the like.
One or more of the search sequences may each correspond to a valid search sequence, thereby forming a dictionary tree of the valid search sequences. The dictionary tree matching process specifically includes determining whether a search sequence input by a user matches an effective search sequence, and if so, determining that the effective search sequence matched with the search sequence input by the user is a processed search sequence, wherein the effective search sequence can be used as the search sequence input by the user.
The valid search sequences may correspond to one or more verification regular expressions. The verification regular expression can be used for verifying whether the search sequence input by the user corresponds to an effective search sequence, if so, the effective search sequence corresponding to the search sequence input by the user is the processed search sequence, and the effective search sequence can be used as the search sequence input by the user.
For example, the search sequence initially input by the user is "french product", and the browser may pre-process the "french product" by means of dictionary tree matching processing, regular expression verification processing, and the like, so as to use the processed search sequence "french product" as the search sequence input by the user.
In step S3, the browser determines a target search result from the corresponding preferred search results according to the search sequence input by the user.
Wherein the target search result means a search result to be provided to the user in the preferred search result.
The browser determines a target search result from the preferred search results corresponding to the search sequence by inquiring the correspondence between the search sequence and the preferred search results according to the search sequence input by the user.
Wherein if the search sequence corresponds to only one preferred search result, the only preferred search result may be determined to be the target search result.
If the search sequence corresponds to multiple preferred search results, the preferred search results may each be determined to be the target search result, or alternatively, some of the preferred search results may be determined to be the target search result. For example, the browser may randomly select a certain preferred search result as the target search result. As another example, the browser may determine the top ranked preferred search result as the target search result.
In step S4, the browser provides the target search result directly to the user.
The target search result is provided in a broad sense, and may be provided to the user by the page link or by the content page pointed to by the page link. Those skilled in the art will appreciate that in different application scenarios, targeted search results may be provided to the user in an appropriate manner.
FIG. 2 illustrates a flow diagram of a method, in accordance with a preferred embodiment of the present invention, which particularly shows a process for providing targeted search results to a user. Specifically, in step S1', the browser obtains a correspondence relationship between each search sequence and one or more preferred search results, where at least part of the preferred search results corresponding to at least part of the search sequences is determined at least in part by a search history of a user; in step S2', the browser acquires the search sequence input by the user; in step S3', the browser determines a target search result based on the weight of each preferred search result corresponding to the search sequence input by the user; in step S4', the browser provides the target search results directly to the user.
Step S1 ', step S2 ', and step S4 ' in fig. 2 are the same as or similar to steps S1, S2, and S4 in fig. 1, and therefore are not described herein again and are included herein by reference. Step S3' will be mainly described in detail below.
In step S3', the browser determines the target search result based on the weight of each preferred search result corresponding to the search sequence input by the user.
Here, in the correspondence relationship between the search sequence and the preferred search result, each of the partial preferred search results has a weight.
Wherein the weight is used to represent a preference level of the preferred search result. Generally, the higher the weight of a preferred search result, the better the preferred search result is over other preferred search results.
The weight of the preferred search results may be determined based on any of the following:
1) the weight of the preferred search result is determined based on the number of times the user browses the corresponding preferred search result.
Here, the browser may determine the weight of the preferred search result directly according to the number of times the user browses the corresponding preferred search result, for example.
For example, if the user browses a preferred search result 5 times, the preferred search result is weighted 5 times.
2) The weight of the preferred search result is determined based on the user's most recent browsing time of the corresponding preferred search result.
Here, the browser may determine the weight of the preferred search result based on a correspondence of the user's most recent browsing time of the respective preferred search result to the weight of the preferred search result, for example.
For example, if the user's most recent browsing time for a preferred search result is today, the preferred search result is weighted 10. Yesterday, the user's most recent browsing time for a preferred search result, the preferred search result has a weight of 9. The user's most recent browsing time for a preferred search result is the previous day, and the weight of the preferred search result is 8. And so on.
3) The weight of the preferred search result is determined based on the user's browsing duration of the corresponding preferred search result.
Here, the browser may determine the weight of the preferred search result based on the correspondence between the browsing duration of the user for the respective preferred search result and the weight of the preferred search result, for example.
For example, if the user browses a preferred search result for more than 10 minutes, the preferred search result is weighted 10. If the browsing time of the user for a preferred search result is 9 to 10 minutes, the weight of the preferred search result is 9. If the browsing time of the user for a preferred search result is 8 to 9 minutes, the weight of the preferred search result is 8. And so on.
4) The weight of the preferred search result is determined based on a combination of any two or all three of the aforementioned 3 weight parameters.
Here, each of the aforementioned weight parameters may be assigned a corresponding weight coefficient. The browser may calculate a weighted sum based on some or all of the aforementioned weight parameters and corresponding weight coefficients to determine the weighted sum as the weight of the preferred search result.
For example, the browser may determine the weight of the preferred search result based on equation 1 below:
resultweight＝viewcount×Rviewcount+recenttime×Rrecenttime+viewtime×Rviewtimeequation 1
Wherein, viewcount represents the number of times the user browses the preferred search result, RviewcountA weight coefficient indicating the number of times of browsing; recenttime represents the user's most recent browsing time, R, for a preferred search resultrecenttimeA weight coefficient representing a most recent browsing time; viewtime represents the browsing duration, R, of the user's preferred search resultsviewtimeA weight coefficient representing a browsing duration; resultweight represents the weight of the preferred search result.
It should be understood by those skilled in the art that the foregoing manner of determining the weight of the preferred search result is merely an example, and should not be considered as any limitation on the present invention, and any other manner of determining the weight of the preferred search result that may occur in the future, such as may be applicable to the present invention, should also be included within the scope of the present invention, and is hereby incorporated by reference.
The correspondence between each search sequence and the preferred search result obtained by the browser may be further shown in table 2 below:
TABLE 2
Here, the manner in which the browser determines the target search result based on the weight of each preferred search result corresponding to the search sequence input by the user includes, but is not limited to, the following 2 types:
1) and if the weight of at least one of the preferred search results corresponding to the search sequence input by the user exceeds the corresponding weight threshold, the browser determines the corresponding preferred search result as the target search result.
The weight threshold may be a globally uniform value. Alternatively, the weight threshold may be configured differently according to different weight parameters for determining the weight.
For example, as shown in Table 2, the browser may determine the preferred search result "http:// www.sohu.com/" (with a weight of "6") corresponding to the search sequence "search fox" as the target search result if the weight of the preferred search result exceeds its corresponding weight threshold (with a weight threshold of "3", for example).
2) The browser determines the preferred search result with the highest weight as the target search result.
For example, as shown in Table 2, the two preferred search results corresponding to the search sequence "listing process" have weights of 8 and 4, respectively, and the browser may determine the preferred search result "http:// www.zhihu.com/query/19629831" with the highest weight as the target search result.
It should be understood by those skilled in the art that the aforementioned 2 ways of determining the target search result are only examples, and should not be considered as any limitation to the present invention, and any other existing or future way of determining the target search result, such as may be applicable to the present invention, should also be included in the scope of the present invention, and is hereby incorporated by reference.
In table 2, there is more than one preferred search result for a partial search sequence. It will be appreciated by those skilled in the art that such a correspondence of search sequences to preferred search results is merely exemplary. According to a preferred embodiment of the present invention, the search sequence may also correspond to only one of the most weighted preferred search results. Accordingly, the browser may directly determine the preferred search result as the target search result, or if the weight of the preferred search result with the highest weight corresponding to the search sequence input by the user exceeds the corresponding weight threshold, the browser determines the preferred search result as the target search result.
In addition, if more than one preferred search result whose weight exceeds its corresponding weight threshold, or more than one preferred search result whose weight is the highest, the browser may determine each of these preferred search results as the target search result. Or, the browser may determine the target search result according to the weight of the preferred search result corresponding to the search sequence and by combining different priorities corresponding to the weight parameters.
For example, as shown in Table 2, the weights of the two preferred search results corresponding to the search sequence "New wave" are both 7, however, the weight of the preferred search result "http:// www.sina.com.cn/" is determined based on the number of times the user browses the preferred search result, and the weight of the preferred search result "http:// www.weibo.com/" is determined based on the duration of time the user browses the preferred search result. The browser may determine the preferred search result "http:// www.sina.com.cn/" as the target search result if the priority of the weight determined according to the browsing number of times of the preferred search result is higher than the priority of the weight determined according to the browsing duration of the preferred search result.
Preferably, at least one default search result is further included in the preferred search result corresponding to at least one of the search sequences. And if the weight of each preferred search result corresponding to the search sequence input by the user does not exceed the corresponding weight threshold, the browser selects the default search result as the target search result.
Here, the default search result may be determined based on at least 2 ways:
1) the default search result is determined based on the search records of the statistical user.
Here, the default search result may be determined based on search records of a statistically large number of users. For example, after a large number of users search a search sequence and obtain a page including a plurality of search results, the search result with the largest total number of page views (page views, referred to as "PageView", abbreviated as PV ") viewed by the users among the search results may be determined as the default search result. As another example, after a large number of users search a search sequence and obtain a page including a plurality of search results, the search result with the largest total number of user views (i.e., the number of independent visitors, or simply, UV) viewed by the user among the search results may be determined as the default search result. However, it should be understood by those skilled in the art that the search result with the largest total number of page views may be the same as or different from the search result with the largest total number of page views. For the search result, the statistical mode of the page browsing times and the user browsing times is different. For example, a user browses a search result 5 times, the page browsing times of the search result are increased by 5 times while the user browsing times of the search result are increased by only 1 time.
2) The default search result is determined based on the page quality.
Here, page quality may be determined based on factors such as whether the page content is complete, whether the page is aesthetically pleasing, whether the page is user friendly, whether the page source is authoritative and professional, and the like. The search result with the highest page quality may be determined as the default search result.
Here, the correspondence relationship between each search sequence and the preferred search result obtained by the browser may be further as shown in table 3 below:
TABLE 3
As shown in Table 3, the default search result may or may not be the same as the other preferred search results.
For example, if the weight of each preferred search result corresponding to the search sequence input by the user does not exceed the corresponding weight threshold, the browser selects the default search result as the target search result.
As shown in table 3, the weight (weight is "1") of the preferred search result corresponding to the search sequence "french score" does not exceed the weight threshold (weight threshold is "3", for example), and the browser may select the default search result "http:// social.
Preferably, in step S1', the browser may obtain, from the other device, a correspondence of each of the at least one search sequence with one or more default search results, respectively.
The other devices include, but are not limited to, network devices such as a search engine, and other user devices such as a mobile phone and an ipad.
For example, the search engine may send the correspondence between each search sequence determined by the search engine and one or more default search results, respectively, to the browser, and accordingly, the browser obtains the correspondence.
Fig. 3 shows a schematic apparatus diagram according to an embodiment of the present invention, which particularly shows an apparatus for providing a target search result for a user, that is, the providing apparatus 10. As shown in fig. 3, the providing apparatus 10 is installed in the browser 1, and specifically includes apparatuses 11 to 14.
Means 11 obtains the correspondence between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to each search sequence is at least partially determined by the search history of a user (for the sake of distinction, means 11 is hereinafter referred to as correspondence obtaining means 11); the apparatus 12 acquires the search sequence input by the user (for the sake of distinction, the apparatus 12 will be referred to as a search sequence acquisition apparatus 12 hereinafter); means 13 determines a target search result from the corresponding preferred search results according to the search sequence input by the user (for ease of distinction, means 13 will be referred to hereinafter as target result determining means 13); the device 14 provides the target search result directly to the user (for ease of distinction, the device 14 will be referred to hereinafter as the target result providing device 14).
It will be appreciated by those skilled in the art that the search sequence acquisition means 12, the target result determination means 13 and the target result providing means 14 are typically operated continuously. The correspondence acquiring means 11 may or may not continuously perform operations with the search sequence acquiring means 12, the target result determining means 13, and the target result providing means 14.
Specifically, the correspondence obtaining device 11 obtains the correspondence between each search sequence and one or more preferred search results, where at least part of the preferred search results corresponding to at least part of the search sequences is determined by the search history of one user.
The search sequence includes, but is not limited to, various user-submitted character strings for searching, such as keywords, sentences, and other characters.
Here, the search result means result information corresponding to a search sequence returned by the search engine for the user. Search results may typically include information such as page title, page summary, page links, etc. For simplicity of illustration, the search results are represented herein mostly as page links. The preferred search result means a search result that is better than other search results among the search results returned by the search engine. Preferred search results are, for example, search results that have been viewed by a user in a historical manner or search results that have been viewed by a large number of statistical users.
The correspondence relationship between each search sequence and the preferred search result acquired by the correspondence relationship acquisition means 11 is shown in table 1, for example.
As shown in Table 1, the respective partial preferred search results for at least a portion of the search sequence are determined from the search history of a particular user.
For example, the search sequences "first score", "marketing procedure", "new wave", "search fox", at least some of the respective corresponding preferred search results are determined by a search history of a user.
The search history includes, but is not limited to, any history information related to the search.
The search history may be in the form of a log. Further, for example, the search history includes the following log information: one user searches based on the search sequence "french scores" and opens the page links to the search results "http:// sports. sina. com. cn/g/style 1/table. html". The correspondence obtaining means 11 may determine the search result as a preferred search result from the search history in the form of the log. The search history in the log form may be a local search history locally stored in the browser 1, or may be a cloud search history stored in the network device.
The search history may also be in the form of user behavior. Further, for example, a user searches based on the search sequence "New wave" and opens a search result with a page link "http:// www.sina.com". The correspondence obtaining means 11 may determine the search result as a preferred search result according to the search history of the user behavior form.
Each user may be identified based on the user's identification information, such as the user's registered account. Alternatively, each user may be identified based on identification information of the user equipment, such as a user equipment serial number or the like.
The correspondence obtaining device 11 can obtain the correspondence between each search sequence and one or more preferred search results in at least the following 2 ways:
1) the correspondence obtaining means 11 obtains the correspondence between each search sequence and one or more preferred search results from other devices.
The other devices include, but are not limited to, network devices such as a search engine, and other user devices such as a mobile phone and an ipad.
For example, the search engine may send, to the browser 1, a correspondence between each search sequence determined based on the search history of the user stored in the cloud and one or more preferred search results, and accordingly, the correspondence obtaining device 11 of the browser 1 obtains the correspondence.
2) The corresponding relation obtaining device 11 locally records the corresponding relation between each of at least one search sequence input by the user and one or more preferred search results based on the search history record of the user, wherein each preferred search result is determined by the search results browsed by the user in history in the search results corresponding to the corresponding search sequence.
Here, the correspondence relation obtaining means 11 may analyze the historical search record of the user to locally record the correspondence relation between the search sequence and the preferred search result. For example, if the search result of the user's historical browsing in the search results corresponding to the search sequence "surf" is "http:// www.sina.com.cn/", the search result may be determined to be the preferred search result. Furthermore, the correspondence relation acquisition means 11 locally records the correspondence relation between the search sequence "new wave" and the preferred search result "http:// www.sina.com.cn/".
Subsequently, the search sequence acquisition means 12 acquires the search sequence input by the user.
Here, the present invention can determine a corresponding preferred search result only for any one of the aforementioned correspondence relationships. For clarity, the search sequence in the foregoing correspondence may be referred to as an effective search sequence.
If the search sequence input by the user belongs to the valid search sequence in the foregoing corresponding relationship, the search sequence input by the user is the valid search sequence, and the search sequence acquisition means 12 may directly acquire the search sequence input by the user.
If the search sequence input by the user does not belong to the valid search sequence in the correspondence, the search sequence acquisition device 12 preprocesses the search sequence input by the user to obtain a corresponding valid search sequence, and uses the processed search sequence as the search sequence input by the user.
Wherein the preprocessing includes but is not limited to a dictionary tree matching process, a regular expression verification process, and the like.
One or more of the search sequences may each correspond to a valid search sequence, thereby forming a dictionary tree of the valid search sequences. The dictionary tree matching process specifically includes determining whether a search sequence input by a user matches an effective search sequence, and if so, determining that the effective search sequence matched with the search sequence input by the user is a processed search sequence, wherein the effective search sequence can be used as the search sequence input by the user.
The valid search sequences may correspond to one or more verification regular expressions. The verification regular expression can be used for verifying whether the search sequence input by the user corresponds to an effective search sequence, if so, the effective search sequence corresponding to the search sequence input by the user is the processed search sequence, and the effective search sequence can be used as the search sequence input by the user.
For example, the search sequence initially input by the user is "french product", and the search sequence acquisition means 12 may pre-process the "french product" by means of dictionary tree matching processing, regular expression verification processing, or the like, so as to use the processed search sequence "french product" as the search sequence input by the user.
Subsequently, the target result determination means 13 determines a target search result from the corresponding preferred search results according to the search sequence input by the user.
Wherein the target search result means a search result to be provided to the user in the preferred search result.
Here, the target result specifying means 13 specifies a target search result from the preferred search results corresponding to the search sequence by referring to the correspondence between the search sequence and the preferred search results in accordance with the search sequence input by the user.
Wherein if the search sequence corresponds to only one preferred search result, the only preferred search result may be determined to be the target search result.
If the search sequence corresponds to multiple preferred search results, the preferred search results may each be determined to be the target search result, or alternatively, some of the preferred search results may be determined to be the target search result. For example, the target result determination means 13 may randomly select a certain preferred search result as the target search result. As another example, the target result determination means 13 may determine a top-ranked preferred search result as the target search result.
Subsequently, the target result providing means 14 provides the target search result directly to the user.
The target search result is provided in a broad sense, and may be provided to the user by the page link or by the content page pointed to by the page link. Those skilled in the art will appreciate that in different application scenarios, targeted search results may be provided to the user in an appropriate manner.
Fig. 4 is a schematic diagram of an apparatus according to a preferred embodiment of the present invention, which particularly shows an apparatus for providing a target search result for a user, that is, the providing apparatus 20. As shown in fig. 4, the providing apparatus 20 is installed in the browser 2, and specifically includes apparatuses 21 to 24.
Specifically, the apparatus 21 obtains the corresponding relationship between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to each search sequence is at least partially determined by the search history of one user (for the sake of distinction, the apparatus 21 is hereinafter referred to as corresponding relationship obtaining apparatus 21); the device 22 acquires the search sequence input by the user (for the sake of distinction, the device 22 will be referred to as a search sequence acquisition device 22 hereinafter); the device 23 determines a target search result based on the weight of each preferred search result corresponding to the search sequence input by the user (for the sake of distinction, the device 23 will be referred to as a target result determination device 23 hereinafter); the device 24 provides the target search results directly to the user (for ease of distinction, the device 24 will be referred to hereinafter as the target result providing device 24).
The operations performed by the correspondence obtaining device 21, the search sequence obtaining device 22, and the target result providing device 24 in fig. 4 are the same as or similar to the operations performed by the correspondence obtaining device 11, the search sequence obtaining device 12, and the target result providing device 14 in fig. 3, and therefore are not repeated herein and are included herein by reference. The operation performed by the target result determination means 23 will be mainly described in detail below.
Specifically, the target result determination means 23 determines the target search result based on the weight of each preferred search result corresponding to the search sequence input by the user.
Here, in the correspondence relationship between the search sequence and the preferred search result, each of the partial preferred search results has a weight.
Wherein the weight is used to represent a preference level of the preferred search result. Generally, the higher the weight of a preferred search result, the better the preferred search result is over other preferred search results.
The weight of the preferred search results may be determined based on any of the following:
1) the weight of the preferred search result is determined based on the number of times the user browses the corresponding preferred search result.
Here, the target result determining means 23 or other specific means in the browser 2 may determine the weight of the preferred search result directly according to the number of times the user browses the corresponding preferred search result, for example.
For example, if the user browses a preferred search result 5 times, the preferred search result is weighted 5 times.
2) The weight of the preferred search result is determined based on the user's most recent browsing time of the corresponding preferred search result.
Here, the target result determining means 23 or other specific means in the browser 2 may determine the weight of the preferred search result based on the correspondence of the user's latest browsing time for the respective preferred search result and the weight of the preferred search result, for example.
For example, if the user's most recent browsing time for a preferred search result is today, the preferred search result is weighted 10. Yesterday, the user's most recent browsing time for a preferred search result, the preferred search result has a weight of 9. The user's most recent browsing time for a preferred search result is the previous day, and the weight of the preferred search result is 8. And so on.
3) The weight of the preferred search result is determined based on the user's browsing duration of the corresponding preferred search result.
Here, the target result determination means 23 or other specific means in the browser 2 may determine the weight of the preferred search result based on, for example, correspondence of the user's browsing duration of the respective preferred search result to the weight of the preferred search result.
For example, if the user browses a preferred search result for more than 10 minutes, the preferred search result is weighted 10. If the browsing time of the user for a preferred search result is 9 to 10 minutes, the weight of the preferred search result is 9. If the browsing time of the user for a preferred search result is 8 to 9 minutes, the weight of the preferred search result is 8. And so on.
4) The weight of the preferred search result is determined based on a combination of any two or all three of the aforementioned 3 weight parameters.
Here, each of the aforementioned weight parameters may be assigned a corresponding weight coefficient. The target result determining means 23 or other specific means in the browser 2 may calculate a weighted sum based on some or all of the aforementioned weight parameters and corresponding weight coefficients to determine the weighted sum as the weight of the preferred search result.
For example, the target result determination means 23 or other specific means in the browser 2 may determine the weight of the preferred search result based on the above formula 1.
It should be understood by those skilled in the art that the foregoing manner of determining the weight of the preferred search result is merely an example, and should not be considered as any limitation on the present invention, and any other manner of determining the weight of the preferred search result that may occur in the future, such as may be applicable to the present invention, should also be included within the scope of the present invention, and is hereby incorporated by reference.
The correspondence relationship between each search sequence and the preferred search result acquired by the correspondence relationship acquisition means 21 may further be as shown in table 2 above.
Here, the manner in which the target result determination device 23 determines the target search result based on the weight of each preferred search result corresponding to the search sequence input by the user includes, but is not limited to, the following 2 types:
1) if the weight of at least one of the preferred search results corresponding to the search sequence input by the user exceeds the corresponding weight threshold, the target result determining device 23 determines the corresponding preferred search result as the target search result.
The weight threshold may be a globally uniform value. Alternatively, the weight threshold may be configured differently according to different weight parameters for determining the weight.
For example, as shown in Table 2, the target result determination means 23 may determine that a preferred search result "http:// www.sohu.com/" (weight is "6") corresponding to the search sequence "search fox" exceeds its corresponding weight threshold (weight threshold is "3", for example), and the preferred search result is the target search result.
2) The target result determination means 23 determines the preferred search result with the highest weight as the target search result.
For example, as shown in Table 2, the two preferred search results corresponding to the search sequence "listing process" have weights of 8 and 4, respectively, and the target result determination means 23 may determine the preferred search result "http:// www.zhihu.com/query/19629831" with the highest weight as the target search result.
It should be understood by those skilled in the art that the aforementioned 2 ways of determining the target search result are only examples, and should not be considered as any limitation to the present invention, and any other existing or future way of determining the target search result, such as may be applicable to the present invention, should also be included in the scope of the present invention, and is hereby incorporated by reference.
In table 2, there is more than one preferred search result for a partial search sequence. It will be appreciated by those skilled in the art that such a correspondence of search sequences to preferred search results is merely exemplary. According to a preferred embodiment of the present invention, the search sequence may also correspond to only one of the most weighted preferred search results. Accordingly, the target result determination means 23 may directly determine the preferred search result as the target search result, or if the weight of the preferred search result with the highest weight corresponding to the search sequence input by the user exceeds the corresponding weight threshold, the target result determination means 23 determines the preferred search result as the target search result.
Furthermore, if more than one preferred search result whose weight exceeds its corresponding weight threshold value, or more than one preferred search result whose weight is the highest, the target result determination means 23 may determine each of these preferred search results as the target search result. Alternatively, the target result determining device 23 may determine the target search result according to the weight of the preferred search result corresponding to the search sequence and by combining different priorities corresponding to the weight parameters.
For example, as shown in Table 2, the weights of the two preferred search results corresponding to the search sequence "New wave" are both 7, however, the weight of the preferred search result "http:// www.sina.com.cn/" is determined based on the number of times the user browses the preferred search result, and the weight of the preferred search result "http:// www.weibo.com/" is determined based on the duration of time the user browses the preferred search result. The target result determination means 23 may determine the preferred search result "http:// www.sina.com.cn/" as the target search result if the priority of the weight determined based on the browsing number of times of the preferred search result is higher than the priority of the weight determined based on the browsing duration of the preferred search result.
Preferably, at least one default search result is further included in the preferred search result corresponding to at least one of the search sequences. If the weight of each preferred search result corresponding to the search sequence input by the user does not exceed the corresponding weight threshold, the target result determining device 23 selects the default search result as the target search result.
Here, the default search result may be determined based on at least 2 ways:
1) the default search result is determined based on the search records of the statistical user.
Here, the default search result may be determined based on search records of a statistically large number of users. For example, after a large number of users search a search sequence and obtain a page including a plurality of search results, the search result with the largest total number of page views (page views, referred to as "PageView", abbreviated as PV ") viewed by the users among the search results may be determined as the default search result. As another example, after a large number of users search a search sequence and obtain a page including a plurality of search results, the search result with the largest total number of user views (i.e., the number of independent visitors, or simply, UV) viewed by the user among the search results may be determined as the default search result. However, it should be understood by those skilled in the art that the search result with the largest total number of page views may be the same as or different from the search result with the largest total number of page views. For the search result, the statistical mode of the page browsing times and the user browsing times is different. For example, a user browses a search result 5 times, the page browsing times of the search result are increased by 5 times while the user browsing times of the search result are increased by only 1 time.
2) The default search result is determined based on the page quality.
Here, page quality may be determined based on factors such as whether the page content is complete, whether the page is aesthetically pleasing, whether the page is user friendly, whether the page source is authoritative and professional, and the like. The search result with the highest page quality may be determined as the default search result.
Here, the correspondence relationship between each search sequence and the preferred search result acquired by the correspondence relationship acquisition means 21 may be further as shown in table 3 above.
As shown in Table 3, the default search result may or may not be the same as the other preferred search results.
For example, if the weight of each preferred search result corresponding to the search sequence input by the user does not exceed the corresponding weight threshold, the target result determination device 23 selects the default search result as the target search result.
As shown in table 3, the target result determination means 23 may select the default search result "http:// social.
Preferably, the correspondence obtaining means 21 may obtain, from the other device, a correspondence of each of the at least one search sequence with one or more default search results, respectively.
The other devices include, but are not limited to, network devices such as a search engine, and other user devices such as a mobile phone and an ipad.
For example, the search engine may send the correspondence between each search sequence determined by the search engine and one or more default search results to the browser 2, and accordingly, the correspondence obtaining means 21 of the browser 2 obtains the correspondence.
It is noted that the present invention may be implemented in software and/or in a combination of software and hardware, for example, the various means of the invention may be implemented using Application Specific Integrated Circuits (ASICs) or any other similar hardware devices. In one embodiment, the software program of the present invention may be executed by a processor to implement the steps or functions described above. Also, the software programs (including associated data structures) of the present invention can be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Further, some of the steps or functions of the present invention may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (13)
1. A method of providing targeted search results to a user, wherein the method comprises:
-obtaining a correspondence between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to each search sequence is determined at least in part by a search history of a user;
wherein, at least one default search result is also included in the preferred search result corresponding to at least one of the search sequences;
wherein, the method also comprises:
-obtaining the user entered search sequence;
-determining a target search result from the preferred search results according to the weight of the preferred search results corresponding to the search sequence input by the user;
if the weight of each preferred search result does not exceed the corresponding weight threshold, selecting the default search result as the target search result;
-providing the target search result directly to the user.
2. The method of claim 1, wherein the weight for each of the at least some preferred search results is determined based on at least any one of:
-the number of times the user browses to the respective preferred search result;
-the user's most recent browsing time for the respective preferred search result;
-the user's browsing duration of the respective preferred search result.
3. The method of claim 1, wherein the default search result is determined based on statistical user search records.
4. The method of claim 1, wherein the step of obtaining the correspondence between each search sequence and one or more preferred search results further comprises:
-obtaining from the other device a correspondence of each of the at least one search sequence to one or more default search results, respectively.
5. The method according to any one of claims 1 to 4, wherein the step of obtaining the correspondence between each search sequence and one or more preferred search results specifically comprises:
-locally recording a correspondence of each of at least one search sequence entered by the user with one or more preferred search results, respectively, based on the search history of the user, wherein each preferred search result is determined by search results historically browsed by the user among the search results corresponding to its respective search sequence.
6. The method according to any one of claims 1 to 4, wherein the step of obtaining the search sequence input by the user specifically comprises:
-pre-processing the user-entered search sequence to use the processed search sequence as the user-entered search sequence.
7. An apparatus for providing targeted search results to a user, wherein the apparatus comprises:
-means for obtaining a correspondence between each search sequence and one or more preferred search results, wherein at least part of the preferred search results corresponding to each search sequence is determined at least in part by a search history of a user;
wherein, at least one default search result is also included in the preferred search result corresponding to at least one of the search sequences;
wherein, the device still includes:
-means for obtaining the user-entered search sequence;
-means for determining a target search result from the preferred search results according to the weight of the preferred search results corresponding to the search sequence input by the user;
if the weight of each preferred search result does not exceed the corresponding weight threshold, selecting the default search result as the target search result;
-means for providing said target search result directly to the user.
8. The apparatus of claim 7, wherein the weight for each of the at least some preferred search results is determined based on at least any one of:
-the number of times the user browses to the respective preferred search result;
-the user's most recent browsing time for the respective preferred search result;
-the user's browsing duration of the respective preferred search result.
9. The apparatus of claim 7, wherein the default search result is determined based on statistical user search records.
10. The apparatus of claim 7, wherein the means for obtaining the correspondence between each search sequence and one or more preferred search results is further configured to:
-obtaining from the other device a correspondence of each of the at least one search sequence to one or more default search results, respectively.
11. The apparatus according to any one of claims 7 to 10, wherein the means for obtaining the correspondence between each search sequence and one or more preferred search results is specifically configured to:
-locally recording a correspondence of each of at least one search sequence entered by the user with one or more preferred search results, respectively, based on the search history of the user, wherein each preferred search result is determined by search results historically browsed by the user among the search results corresponding to its respective search sequence.
12. The apparatus according to any one of claims 7 to 10, wherein the means for obtaining the user-entered search sequence is specifically configured to:
-pre-processing the user-entered search sequence to use the processed search sequence as the user-entered search sequence.
13. A browser including apparatus as claimed in any one of claims 7 to 12 for providing targeted search results to a user.
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