CN105447205B - Method and device for sorting search results - Google Patents
Method and device for sorting search results Download PDFInfo
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- CN105447205B CN105447205B CN201610005161.9A CN201610005161A CN105447205B CN 105447205 B CN105447205 B CN 105447205B CN 201610005161 A CN201610005161 A CN 201610005161A CN 105447205 B CN105447205 B CN 105447205B
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000012163 sequencing technique Methods 0.000 claims abstract description 24
- 238000004590 computer program Methods 0.000 claims 2
- 235000019633 pungent taste Nutrition 0.000 claims 2
- 238000005516 engineering process Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000009193 crawling Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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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
- G06F16/903—Querying
- G06F16/9038—Presentation of query results
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The embodiment of the application discloses a method and a device for sorting search results. The method of the embodiment of the application comprises the following steps: receiving selection of each search service type by a user, wherein each search service type is provided with a corresponding sequencing template; acquiring a search string; acquiring a corresponding search result according to the search string; and sequencing each search result according to the sequencing template corresponding to the selected search service type.
Description
Technical Field
The present application relates to the field of search technologies, and in particular, to a method and apparatus for sorting search results.
Background
With the rapid development of search technology in computer technology, search engines have become a major means for people to obtain information. When the user inputs a search string, the search engine returns search results matching the search string to the user, i.e., including the page containing the search string in the search results.
After the search engine obtains the search results that match the search string, the search results are ranked for presentation to the user. In the prior art, the same algorithm is adopted when the search results of all types of search services are ordered. However, the requirements of different types of search services on the search results are different, and the same algorithm is adopted for sorting, so that the user experience is poor when viewing the search results of part of the types of search services.
Disclosure of Invention
The embodiment of the application provides a method and a device for ordering search results, which can enable the ordering of the search results to more meet the requirements of different search services.
The embodiment of the application provides a method for ordering search results, which comprises the following steps:
receiving selection of each search service type by a user, wherein each search service type is provided with a corresponding sequencing template;
acquiring a search string;
acquiring a corresponding search result according to the search string;
and sequencing each search result according to the sequencing template corresponding to the selected search service type.
Optionally, the ranking of the search results according to the ranking template corresponding to the selected search service type further includes:
and receiving the setting of the ordering template corresponding to the retrieval service type by the user.
Optionally, the sorting template includes at least one field and a weight occupied by the at least one field when calculating the sorting result;
the step of sorting the search results according to the sorting templates corresponding to the selected search service types comprises the following steps:
for each search result, calculating the matching degree of the search string with the search result on the at least one field respectively;
weighting and summing the matching degree according to the weight of the at least one field;
and sequencing the search results according to the summation results corresponding to the search results.
Optionally, the search service type includes an information class, and the fields in the ranking template corresponding to the information class search service include at least one of the following:
title, body, abstract, source, tag, channel, posting time, news type;
wherein the title and/or abstract weight is greater than the text weight.
Optionally, the search service type includes a novel, and the fields in the ranking template corresponding to the novel search service include at least one of the following:
book name, author, classification, heat;
wherein the weight of the title is greater than the weight of the author, or the weight of the title is greater than the weight of the author.
Optionally, the search service type includes an application class, and the fields in the ranking template corresponding to the application class search service include at least one of the following:
application name, application alias, developer name, description of application, download amount, loading amount, star rating score;
wherein the application name and/or description of the application program is weighted more than the application alias and/or developer name.
The embodiment of the application also provides a device for sorting the search results, which comprises the following steps:
the first receiving module is used for receiving the selection of each search service type by a user, wherein each search service type is provided with a corresponding sequencing template;
the first acquisition module is used for acquiring the search string;
the second acquisition module is used for acquiring corresponding search results according to the search string;
and the sorting module is used for sorting the search results according to the sorting templates corresponding to the selected search service types.
Optionally, the apparatus further includes:
and the second receiving module is used for receiving the setting of the sorting template corresponding to the search service type by the user before the sorting module sorts the search results according to the sorting template corresponding to the selected search service type.
Optionally, the sorting template includes at least one field and a weight occupied by the at least one field when calculating the sorting result;
the sorting module is specifically configured to calculate, for each search result, a matching degree between the search string and the search result on the at least one field, respectively; weighting and summing the matching degree according to the weight of the at least one field; and sequencing the search results according to the summation results corresponding to the search results.
Optionally, the search service type includes an information class, and the fields in the ranking template corresponding to the information class search service include at least one of the following:
title, body, abstract, source, tag, channel, posting time, news type;
wherein the title and/or abstract weight is greater than the text weight.
Optionally, the search service type includes a novel, and the fields in the ranking template corresponding to the novel search service include at least one of the following:
book name, author, classification, heat;
wherein the weight of the title is greater than the weight of the author, or the weight of the title is greater than the weight of the author.
Optionally, the search service type includes an application class, and the fields in the ranking template corresponding to the application class search service include at least one of the following:
application name, application alias, developer name, description of application, download amount, loading amount, star rating score;
wherein the application name and/or description of the application program is weighted more than the application alias and/or developer name. From the above technical solutions, the embodiment of the present application has the following advantages:
in the application, different retrieval service types are respectively provided with corresponding sorting templates; and receiving the selection of the user on each search service type, and sequencing each search result according to a sequencing template corresponding to the selected search service type, so that the sequencing of the search results meets the requirements of different search services.
Drawings
FIG. 1 is a flow diagram of one embodiment of a method of ranking search results according to the present application;
fig. 2 is a schematic structural diagram of an embodiment of the apparatus for sorting search results according to the present application.
Detailed Description
As shown in fig. 1, fig. 1 is a flow chart of an embodiment of a method for sorting search results according to the present application. In this embodiment, the method for sorting the search results includes:
101. and receiving the selection of the user on each search service type, wherein each search service type is provided with a corresponding sequencing template.
In this embodiment, at least two search service types and a ranking template corresponding to each search service type are stored in the search engine. Specifically, at least one field and the weight occupied by the at least one field when calculating the arrangement sequence of the search result are defined in the ordering template. Of course, the foregoing is merely an example of the ranking template, and the ranking module may also include other contents, which are not limited herein.
Wherein, each search service type and the corresponding sorting template are set by default for the search engine.
Optionally, in this embodiment, the search engine further receives a user setting of the search service type and/or the ranking template.
For example, in a scenario where the ranking template is set by receiving user input, the search engine may set the ranking template by receiving user settings for the fields in the ranking template and the weights of the fields. When the setting of the user on the weight of the field is accepted, the search engine specifically receives the weight value input by the user; alternatively, the search engine is pre-configured with different levels, where each level corresponds to a preset weight, and the search engine sets the weights of the fields by receiving user selections of the levels. For example, the search engine is preset with three levels of general importance and very important, and the weights corresponding to the three levels are 20%, 30% and 50% respectively. Of course, the foregoing is by way of example only and is not limiting.
After receiving the selection of one search service type by the user, the search engine sorts the search results according to the sorting templates corresponding to the selected search service type before receiving the selection of the other search service type by the user.
102. A search string is obtained.
Specifically, the search engine obtains the search string by receiving user input in a search box.
103. And obtaining a corresponding search result according to the search string.
In this embodiment, the search engine may acquire a plurality of corresponding search results based on the search string input by the user by using a web page crawling technology, where the search results are generally presented in the form of URLs.
104. And sequencing each search result according to the sequencing template corresponding to the selected search service type.
When each search result is grabbed by the search engine, the search engine calculates the sorting coefficient of the search result according to the field in the sorting template and the weight of the field, wherein the higher the sorting coefficient is, the earlier the search result is displayed.
For example, in a scenario in which at least one field and the weight occupied by the at least one field when calculating the arrangement sequence of the search results are defined in the ranking template, when calculating the ranking coefficient of each search result, the search engine first calculates the matching degree of the search string and the search result on each field, then uses the weight of each field to weight and sum the matching degree of the search string on each field, and uses the sum result as the ranking coefficient of the search result. The higher the ranking coefficient, the higher the ranking of the search result.
The matching degree of the search string and the search result on each field may refer to text relativity of the search string and the search result.
For example, the search service type includes an information class, and the fields in the ranking template corresponding to the information class search service include at least one of the following: title, body, abstract, source, tag, channel, posting time, news type. Optionally, the weight of the field "title" and/or the field "abstract" in the ranking template is greater than the weight of the field "body".
For another example, the search service type includes a novel, and the fields in the ranking template corresponding to the novel search service include at least one of: book name, author, classification, heat. Optionally, the weight of the field "title" in the ranking template is greater than the weight of the field "author", or the weight of the field "title" is greater than the weight of the field "author".
The matching degree of the search string and the search result on each field may also refer to authority of the search result.
For example, the search service type includes an application class, and the fields in the ranking template corresponding to the application class search service include at least one of the following: application name, application alias, developer name, description of application, download amount, installation amount, star rating score. Optionally, the description of the field "application name" and/or the field "application program" in the ranking template has a greater weight than the field "application alias" and/or the field "developer name". Wherein the developer name includes the name of the developer of the application program or the development company of the application program.
In this embodiment, different search service types have corresponding ranking templates respectively; and receiving the selection of the user on each search service type, and sequencing each search result according to a sequencing template corresponding to the selected search service type, so that the sequencing of the search results meets the requirements of different search services.
The method for sorting the search results of the present application is described above, and the apparatus for sorting the search results of the present application is described below.
As shown in fig. 2, fig. 2 is a schematic structural diagram of an embodiment of the apparatus for sorting search results according to the present application. In this embodiment, the device for sorting search results includes:
a first receiving module 201, configured to receive a selection of each search service type by a user, where each search service type has a corresponding ranking template;
a first obtaining module 202, configured to obtain a search string;
a second obtaining module 203, configured to obtain a corresponding search result according to the search string;
and the sorting module 204 is configured to sort each search result according to the sorting template corresponding to the selected search service type.
In this embodiment, the device for sorting the search results has a corresponding sorting template for different search service types; and receiving the selection of the user on each search service type, and sequencing each search result according to a sequencing template corresponding to the selected search service type, so that the sequencing of the search results meets the requirements of different search services.
Optionally, the device for sorting the search results further includes:
and the second receiving module 205 is configured to receive a setting of a ranking template corresponding to the search service type by a user before the ranking module ranks the search results according to the ranking template corresponding to the selected search service type.
Optionally, the sorting template includes at least one field and a weight occupied by the at least one field when calculating the sorting result;
the sorting module is specifically configured to calculate, for each search result, a matching degree between the search string and the search result on the at least one field, respectively; weighting and summing the matching degree according to the weight of the at least one field; and sequencing the search results according to the summation results corresponding to the search results.
Optionally, the search service type includes an information class, and the fields in the ranking template corresponding to the information class search service include at least one of the following:
title, body, abstract, source, tag, channel, posting time, news type;
wherein the title and/or abstract weight is greater than the text weight.
Optionally, the search service type includes a novel, and the fields in the ranking template corresponding to the novel search service include at least one of the following:
book name, author, classification, heat;
wherein the weight of the title is greater than the weight of the author, or the weight of the title is greater than the weight of the author.
Optionally, the search service type includes an application class, and the fields in the ranking template corresponding to the application class search service include at least one of the following:
application name, application alias, developer name, description of application, download amount, loading amount, star rating score;
wherein the application name and/or description of the application program is weighted more than the application alias and/or developer name.
The description of the device for sorting the search results may refer to the description in the embodiment shown in fig. 1, and will not be repeated herein.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method of ranking search results, comprising:
receiving selection of each search service type by a user, wherein each search service type is provided with a corresponding sorting template, and the sorting template comprises at least one field and the weight occupied by the at least one field when a sorting result is calculated; each search service type comprises at least two of information class, novel class and application class; the fields in the ordering template corresponding to the information class comprise at least one of title, text, abstract, source, label, channel, publishing time and news type; the fields in the sorting templates corresponding to the novel classes comprise at least one of book names, authors, classifications and hotness; the fields in the ordering template corresponding to the application class comprise at least one of application names, application aliases, developer names, descriptions of application programs, downloading amounts, loading amounts and star rating scores;
receiving the setting of a sorting template corresponding to the selected retrieval service type by a user;
acquiring a search string;
acquiring a corresponding search result according to the search string;
for each search result, calculating the matching degree of the search string with the search result on the at least one field, wherein the matching degree of the search string with the search result on the at least one field at least comprises: text relevance of the search string and the search result, and/or authority of the search result;
weighting and summing the matching degree according to the weight of the at least one field;
and sequencing the search results according to the summation results corresponding to the search results.
2. The method of claim 1, wherein the title and/or abstract has a greater weight than the text.
3. The method of claim 1, wherein the title is weighted more than the author.
4. The method of claim 1, wherein the application name and/or description of the application program is weighted more than the application alias and/or developer name.
5. An apparatus for ranking search results, comprising:
the first receiving module is used for receiving the selection of each search service type by a user, wherein each search service type is provided with a corresponding sorting template, and the sorting template comprises at least one field and the weight occupied by the at least one field when a sorting result is calculated; each search service type comprises at least two of information class, novel class and application class; the fields in the ordering template corresponding to the information class comprise at least one of title, text, abstract, source, label, channel, publishing time and news type; the fields in the sorting templates corresponding to the novel classes comprise at least one of book names, authors, classifications and hotness; the fields in the ordering template corresponding to the application class comprise at least one of application names, application aliases, developer names, descriptions of application programs, downloading amounts, loading amounts and star rating scores;
the second receiving module is used for receiving the setting of the ordering template corresponding to the selected retrieval service type by the user;
the first acquisition module is used for acquiring the search string;
the second acquisition module is used for acquiring corresponding search results according to the search string;
the sorting module is configured to calculate, for each search result, a matching degree of the search string with the search result on the at least one field, where the matching degree of the search string with the search result on the at least one field includes at least: text relevance of the search string and the search result, and/or authority of the search result; weighting and summing the matching degree according to the weight of the at least one field; and sequencing the search results according to the summation results corresponding to the search results.
6. The apparatus for ranking search results according to claim 5, wherein the title and/or abstract has a greater weight than the text.
7. The apparatus for ranking search results according to claim 5, wherein the weight of the title is greater than the weight of the author.
8. The apparatus according to claim 5, wherein the application name and/or description of the application program has a weight greater than that of the application alias and/or developer name.
9. A computer device, comprising: a memory and a processor;
the memory is used for storing programs;
the processor is configured to execute a program stored in the memory to implement the steps of the method for ranking search results according to any one of claims 1-4.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of ranking search results according to any one of claims 1-4.
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108733732A (en) * | 2017-04-25 | 2018-11-02 | 北京国双科技有限公司 | A kind of text searching method and device |
| CN107908735B (en) * | 2017-11-15 | 2019-01-22 | 北京三快在线科技有限公司 | Information displaying method and device and calculating equipment |
| CN112597274A (en) * | 2020-12-18 | 2021-04-02 | 深圳市彬讯科技有限公司 | Document determination method, device, equipment and storage medium based on BM25 algorithm |
| CN113127642B (en) * | 2021-04-29 | 2022-12-23 | 广盟数据科技(上海)有限公司 | Controllable automatic document classification method, device, equipment and storage medium |
| CN117033307A (en) * | 2023-10-07 | 2023-11-10 | 北京天信瑞安信息技术有限公司 | File indexing method, device, electronic equipment and computer readable storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101004748A (en) * | 2006-10-27 | 2007-07-25 | 北京航空航天大学 | Method for searching 3D model based on 2D sketch |
| CN101105815A (en) * | 2007-09-06 | 2008-01-16 | 腾讯科技（深圳）有限公司 | Internet music file sequencing method, system and search method and search engine |
| CN102591942A (en) * | 2011-12-27 | 2012-07-18 | 奇智软件（北京）有限公司 | Method and device for automatic application recommendation |
| CN102982035A (en) * | 2011-09-05 | 2013-03-20 | 腾讯科技（深圳）有限公司 | Search ordering method and search ordering system for community users |
| CN103164407A (en) * | 2011-12-09 | 2013-06-19 | 深圳市腾讯计算机系统有限公司 | Information searching method and system |
| CN103310014A (en) * | 2013-07-02 | 2013-09-18 | 北京航空航天大学 | Method for improving accuracy of search result |
| CN103425688A (en) * | 2012-05-21 | 2013-12-04 | 阿里巴巴集团控股有限公司 | Method and server for providing information |
| CN104239340A (en) * | 2013-06-19 | 2014-12-24 | 北京搜狗信息服务有限公司 | Search result screening method and search result screening device |
| CN105068661A (en) * | 2015-09-07 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Man-machine interaction method and system based on artificial intelligence |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8095467B2 (en) * | 2000-02-14 | 2012-01-10 | Bettinger David S | Internet news compensation system |
| US20110035272A1 (en) * | 2009-08-05 | 2011-02-10 | Yahoo! Inc. | Feature-value recommendations for advertisement campaign performance improvement |
| US8924371B2 (en) * | 2010-06-02 | 2014-12-30 | Oracle International Corporation | Search-sort toggle |
-
2016
- 2016-01-05 CN CN201610005161.9A patent/CN105447205B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101004748A (en) * | 2006-10-27 | 2007-07-25 | 北京航空航天大学 | Method for searching 3D model based on 2D sketch |
| CN101105815A (en) * | 2007-09-06 | 2008-01-16 | 腾讯科技（深圳）有限公司 | Internet music file sequencing method, system and search method and search engine |
| CN102982035A (en) * | 2011-09-05 | 2013-03-20 | 腾讯科技（深圳）有限公司 | Search ordering method and search ordering system for community users |
| CN103164407A (en) * | 2011-12-09 | 2013-06-19 | 深圳市腾讯计算机系统有限公司 | Information searching method and system |
| CN102591942A (en) * | 2011-12-27 | 2012-07-18 | 奇智软件（北京）有限公司 | Method and device for automatic application recommendation |
| CN103425688A (en) * | 2012-05-21 | 2013-12-04 | 阿里巴巴集团控股有限公司 | Method and server for providing information |
| CN104239340A (en) * | 2013-06-19 | 2014-12-24 | 北京搜狗信息服务有限公司 | Search result screening method and search result screening device |
| CN103310014A (en) * | 2013-07-02 | 2013-09-18 | 北京航空航天大学 | Method for improving accuracy of search result |
| CN105068661A (en) * | 2015-09-07 | 2015-11-18 | 百度在线网络技术（北京）有限公司 | Man-machine interaction method and system based on artificial intelligence |
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