WO2012152157A1 - Procédé et dispositif d'affichage de résultat de recherche - Google Patents

Procédé et dispositif d'affichage de résultat de recherche Download PDF

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Publication number
WO2012152157A1
WO2012152157A1 PCT/CN2012/073508 CN2012073508W WO2012152157A1 WO 2012152157 A1 WO2012152157 A1 WO 2012152157A1 CN 2012073508 W CN2012073508 W CN 2012073508W WO 2012152157 A1 WO2012152157 A1 WO 2012152157A1
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WIPO (PCT)
Prior art keywords
search
display
entry
category
attribute
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PCT/CN2012/073508
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English (en)
Chinese (zh)
Inventor
王磊
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北京百度网讯科技有限公司
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Publication of WO2012152157A1 publication Critical patent/WO2012152157A1/fr

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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
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/338—Presentation of query results

Definitions

  • the present invention relates to the field of search engines, and in particular, to a method and apparatus for displaying search results.
  • the display of search results usually uses a certain sorting strategy to rank the search results, but does not consider the homogenous characteristics of the search results. For example, if a user queries "hot pot" in a search engine based on a geographic entity, the returned search result items may have "Haidilao Hot Pot (Peony Garden Store)", “Haidilao Hot Pot (Xidandian)", etc., if "Hai Dian” There are dozens of stores in the hot pot. According to a certain sorting strategy, these dozens of stores are ranked in the forefront of the search results list, which will cause users to search for "hot pot", which is seen in the front of the search results list. The situation of Haidilao Hot Pot” related stores.
  • FIG. 1 is a schematic diagram of a prior art display of search results according to an embodiment of the present invention.
  • users searching for "hot pot” may not be looking for a "sea-fishing hot pot” related store.
  • users need more clicks in order to get the results they want, thus increasing users. s expenses.
  • the statistics show that when about 80% of users search, they only view related items on the top page of the search result list, but under the prior art display method, because of the homogenous feature search
  • the resulting entries may occupy multiple locations on the front page, correspondingly reducing the chances of other search result entries being displayed on the front page, reducing the likelihood that the user will click on the search result entry.
  • the technical problem to be solved by the present invention is to provide a method and a device for displaying search results, so as to solve the defect that the display method of the prior art reduces the probability that the search result is displayed on the home page.
  • the present invention provides a method for displaying search results, including: A. obtaining a user's search request; B. Performing a query in the database according to the search request to obtain each search result; C. determining a demand attribute of the search request; D. And determining, according to the requirement attribute, a manner of displaying each piece of search result, where the displaying manner includes performing an aggregate display or a non-aggregate display on each display result on the display page.
  • the demand attribute comprises a general demand attribute or an exact demand attribute.
  • the method for determining the requirement attribute in the step C includes at least one of the following manners: manner one, performing matching verification on the search request by using a general requirement feature vocabulary, if The search request is verified, and then the search request is determined to have a general demand attribute, otherwise the search request is determined to have an accurate demand attribute; and second, the number of search results under each category is calculated to determine the search result included in each category.
  • the maximum of the number when the maximum value is less than the set threshold, determining that the search request has an exact demand attribute, otherwise having a general demand attribute.
  • the step D specifically includes: when the requirement attribute is a general requirement attribute, performing aggregate display on each display result on the display page, when the demand attribute is an accurate demand attribute, Non-aggregate display of each search result on the display page.
  • the aggregated presentation is in the form of presenting search results in the same category as one entry.
  • the entry is composed of an identifier of a corresponding category of the entry, wherein the identifier includes a keyword, a descriptive text or a picture; if the search result of the corresponding category in the entry exceeds one, The entry further includes one or more indicia of search results under the corresponding category of the entry, wherein the indicia includes text, symbols, or icons.
  • the method further comprises: E.
  • the search results under the corresponding category of the entry are displayed according to a preset policy.
  • the preset policy includes at least one of the following: a policy 1: opening a new page to display search results under the corresponding category of the entry; and a policy 2, jumping to the corresponding entry in the original page Search results under the category; Strategy 3, expand the entry on the original page to the search result under the corresponding category of the entry.
  • the step D further displays a map associated with the location of the respective search results on the display page.
  • the method further comprises: F.
  • F When the user's mouse moves to the item, the location of the search result under the corresponding category of the item is marked on the map.
  • the present invention also provides a display device for displaying a search result, comprising: a receiving unit, configured to acquire a search request of a user; and a searching unit, configured to perform a query in a database according to the search request, to obtain each search result; a unit, configured to determine a requirement attribute of the search request, where the first display unit is configured to determine a display manner of each search result according to the requirement attribute, where the display manner includes: aggregating each search result on a display page Show or non-aggregate impressions.
  • the demand attribute comprises a general demand attribute or an exact demand attribute.
  • the method for determining, by the determining unit, the requirement attribute includes at least one of the following manners: Method 1: performing matching verification on the search request by using a general requirement feature vocabulary, if The search request is verified, and then the search request is determined to have a general demand attribute, otherwise the search request is determined to have an accurate demand attribute; and second, the number of search results under each category is calculated to determine the search result included in each category. The maximum of the number, when the maximum value is less than the set threshold, determining that the search request has an exact demand attribute, otherwise having a general demand attribute.
  • the first display unit aggregates the search results on the display page, and when the demand attribute is an accurate demand attribute, The display page performs a non-aggregated display of each search result.
  • the aggregated presentation is in the form of presenting search results in the same category as one entry.
  • the entry is composed of an identifier of a corresponding category of the entry, wherein the identifier includes a keyword, a descriptive text or a picture; if the search result of the corresponding category in the entry exceeds one, The entry further includes one or more indicia of search results under the corresponding category of the entry, wherein the indicia includes text, symbols, or icons.
  • the apparatus further includes a second display unit for displaying a search result under the corresponding category of the entry according to a preset policy when the user clicks on the entry.
  • the preset policy includes at least one of the following: a policy 1: opening a new page to display search results under the corresponding category of the entry; and a policy 2, jumping to the corresponding entry in the original page Search results under the category; Strategy 3, expand the entry on the original page to the search result under the corresponding category of the entry.
  • the first display unit is further configured to display a map related to the location of each search result on the display page.
  • the apparatus further comprises an annotation unit for marking the location of the search results under the category of the entry on the map when the user's mouse moves to the entry.
  • the probability of the search results being displayed on the homepage can be effectively increased, thereby increasing the possibility of the user clicking on the search result, and controlling the demand attribute of the search request.
  • the logic of the aggregated display makes the aggregated display not based solely on the category of the search results, but based on the needs of the user, which helps to improve the user experience.
  • FIG. 1 is a schematic diagram of a prior art display of search results according to an embodiment of the present invention
  • Embodiment 1 is a schematic flowchart of Embodiment 1 of a method for displaying search results according to an embodiment of the present invention
  • FIG. 3 is a schematic diagram of an embodiment of a search result aggregation display in an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of an embodiment of a non-aggregated display of search results in an embodiment of the present invention.
  • FIG. 5 is a schematic diagram showing an embodiment of a search result under an entry corresponding category in an embodiment of the present invention
  • FIG. 6 is a schematic diagram of an embodiment of performing search results under an entry corresponding category on an original page in an embodiment of the present invention
  • FIG. 7 is a schematic flowchart diagram of Embodiment 2 of a method for displaying search results according to an embodiment of the present invention.
  • FIG. 8 is a schematic diagram of an embodiment when a page display map is displayed in an embodiment of the present invention.
  • FIG. 9 is a schematic structural block diagram of Embodiment 1 of a device for displaying search results according to an embodiment of the present invention.
  • FIG. 10 is a schematic block diagram showing the structure of a second embodiment of a search result display device according to an embodiment of the present invention.
  • FIG. 2 is a schematic flowchart diagram of Embodiment 1 of a method for displaying search results according to an embodiment of the present invention.
  • the display method of the search results includes:
  • Step 101 Acquire a search request of the user. Obtaining the user's search request is the basis for subsequent processing, which is no different from the prior art search, and the user's search request can be obtained through the search box.
  • Step 102 Perform a query in a database according to the search request to obtain a search result, wherein the search result is composed of one or more categories.
  • the data in the database has a category feature because the data in the database has a category characteristic.
  • clustering of data can be achieved. The following describes the data mining methods that can be used in the present invention.
  • Method 1 Extract the category keywords through the feature template, then use the category keywords to obtain the data belonging to the category, and finally put the same data labels for the data belonging to the same category.
  • the feature templates described above are generally confirmed to have higher accuracy by statistical data.
  • data mining is performed in a database based on a geographic entity.
  • the statistical data indicates that XX (@@@) has a high accuracy when representing a merchant with a chain store feature, wherein XX indicates the store name of the head office.
  • the @@@ in brackets indicates the store name of the branch. Therefore, through the feature template such as XX (@@@), the store name of the head office can be extracted first, and the store name of the head office also represents a category of a merchant, which can be used as a keyword of the category.
  • “Haidilao (Zhongguancun)” matches the above characteristic template, and “Hai Dian” can be extracted as a keyword for the category.
  • other possible feature templates may also include ⁇ —@@@, ⁇ :@@@ and so on.
  • the data of the category is marked with the same data label, for example, the data of the same category has the same category ID number.
  • Method 2 Sort all the data in the database by name, so that data belonging to the same category will be placed in an adjacent position. Sequentially scanning all data, finding out the data of the longest common string of a continuous set of data greater than a specified threshold, the common string being a potential category keyword, and a set of data having the common string Belongs to this category.
  • the accuracy of the excavation can be further improved by the filtering strategy, such as manual review or according to some additional features, such as the store (branch), line (branch, branch), school (branch), hospital (sub-division), (Club) and so on.
  • the data of the category is marked with the same data label, for example, the data of the same category has the same category ID number.
  • Method 3 Clustering the topic of the page by semantic analysis of the content of the page.
  • the theme of the page can be obtained, the theme of the page represents the content described by the page, and one page can include multiple topics.
  • a web page describing how to use the mobile phone to access the Internet may include two themes of "mobile phone” and "online”, and one topic is a category.
  • the data of the category is marked with the same data label.
  • the data of the same category has the same category ID number.
  • each page can be labeled. ID number of one or more categories.
  • Step 103 Determine a demand attribute of the search request.
  • the demand attributes include a general demand attribute and an exact demand attribute.
  • the general requirement attribute refers to a relatively simple search keyword, which can match the search results of a wide range of user search requirements, such as the user search for "emulsion", the purpose is not to find a certain product, but to Search keywords like "Lotion" get more information to help him make the next decision.
  • the precise demand attribute means that the search keyword is relatively clear.
  • the user determines the product range that he or she wants to find. For example, the user searches for “Haidilao Hot Pot Peony Garden Store”, and wants to get the Haidilao Peony Garden Store. Information, rather than want to know the situation of other brands of hot pot restaurants, is not to get the situation of other stores in Haidilao, when the user's needs are accurate.
  • the method of determining the demand attribute of the search request may include any one or more of the following combinations:
  • the ubiquitous feature vocabulary can be obtained in several ways, first through common classification tables, such as vocabulary by geographical region: Haidian, Chaoyang, Fengtai, etc., or vocabulary by brand: Sony, Biotherm, Nokia, etc. These classification tables are easy to collect based on common sense.
  • the general requirement feature vocabulary can also be obtained through the user search log.
  • the method of obtaining is to first mine some high frequency words and search words that can return more search results from the user's previous search words.
  • the specific method is to search. Search words whose frequency is higher than a set threshold are extracted or the search words whose returned search results are higher than a set threshold are extracted, and then the extracted search words are clustered, which can be obtained by machine learning.
  • the realization, finally through the manual review of the search words after filtering out the impurity words, can be used as the characteristic words of the general demand characteristic vocabulary.
  • the search results may belong to one or more categories, so the number of search results attributed to each category is calculated separately, so that one of these quantities can be obtained.
  • search for Zhongguancun hot pot and get the search results such as “Haidilao Peony Garden Store”, “Haidilao Hailong Building Store”, “Spicy Mother Po Hot Pot”, “Little Feiyang Zhichun Road Store”, “Little Sheep Sheep Peking University Store”.
  • These search results have category labels. According to the category labels, these search results belong to three categories: “Haidian Fishing”, “Little Sheep” and “Spicy Mother”.
  • the search result under the category of “Hai Dian” and “Little Sheep” is 2, and the search result under “Spicy Mother” is 1.
  • the maximum number of search results under each category is 2, if the set threshold is 3, since the maximum value is less than the set threshold, it can be judged that "Zhongguancun Hot Pot” has the exact demand attribute, but if the threshold is set, If it is 1, the maximum value is greater than the set threshold, so it will be judged that "Zhongguancun Hot Pot” has a general demand attribute.
  • Step 104 When the search request has a general requirement attribute, the search result is aggregated and displayed on the display page. Aggregate impressions are in the form of displaying search results under the same category as one entry. Please refer to FIG. 3.
  • FIG. 3 is a schematic diagram of an embodiment of a search result aggregation display according to an embodiment of the present invention.
  • the category is the name of the merchant, such as "green silk styling” is a category, "LA The BELLEZA Hairdressing Salon is a category, and the “Aesthetic Beauty Salon City” is also a category.
  • the displayed items may be in the form of a list as shown in FIG. 3, and may be in other forms, for example, an item is represented by a circle, or an item is represented by other shapes and patterns, which is not limited by the present invention.
  • the displayed item is composed of the identifier of the category corresponding to the item, and the identifier includes a keyword, a descriptive text or a picture.
  • a descriptive text For example, in Figure 3, "Green Silk Shape", "LA” "BELLEZA” is the key word; "Recommendation: Ouyang Gaojian Da Kui Xiaoye", "No. 408, 4th Floor, Jinbaohui, No. 88 Jinbao Street, Dongcheng District (near Jinbao Building) "It is descriptive text.”
  • an embodiment of the present invention may put a warning identifier on the item to facilitate distinguishing from other items, such as the "green silk shape” shown in FIG.
  • a warning identifier such as “chain store” is added to the picture.
  • the entry may further include one or more tags of the search result under the corresponding category of the entry. For example, in the "Green Silk Shape” item, there are also such marks as "Cuiwei Plaza” and "Cuiwei Plaza”.
  • search results of a generic search engine When the search results of a generic search engine are displayed, the same category of search results can also be displayed as one entry. For example, users search for "Apple", because “Apple” is a keyword with multiple meanings, some pages describe Apple phones, Apple computers or Apple companies, and some pages describe Apple's fruit, some pages It is a description of Apple jeans. These different meanings form a category.
  • the webpage matching the "Apple” keyword When searching, the webpage matching the "Apple” keyword has a category label.
  • it needs to be aggregated it can be described as Apple mobile phone, Apple computer or Apple's web page is displayed as an entry that displays a page that describes Apple Fruit as an entry that shows the page of Apple Jeans as an entry.
  • step 104 may further include non-aggregating the search results on the display page when the search request has an exact demand attribute.
  • the so-called non-aggregated display refers to the way in which several search results of the same category are not displayed as one item. Please refer to FIG. 4.
  • FIG. 4 is a schematic diagram of an embodiment of a non-aggregated display of search results according to an embodiment of the present invention.
  • Step 105 When the user clicks on the item, the search result under the corresponding category of the item is displayed according to a preset policy.
  • FIG. 5 is a schematic diagram showing an embodiment of a search result in an item corresponding category according to an embodiment of the present invention.
  • the preset strategy includes any one or more of the following combinations:
  • the entry is expanded on the original page to the search results under the corresponding category of the entry.
  • the first strategy is a common click pop-up new page mode
  • the second strategy is the usual click to advance to the new page mode
  • the third way does not need to update the entire page, only the aggregation that originally appeared as an entry
  • the body expands on the original page and becomes a plurality of entries, each of which is a search result for a corresponding category.
  • FIG. 6 is a schematic diagram of an embodiment of a search result in an item corresponding category on an original page according to an embodiment of the present invention. As shown in Fig. 6, on the basis of Fig.
  • FIG. 7 is a schematic flowchart diagram of Embodiment 2 of a method for displaying search results according to an embodiment of the present invention.
  • the steps 201, 202, 203, 204, and 205 are substantially the same as the steps 101, 102, 103, 104, and 105 in the first embodiment, except that in the step 202 of the second embodiment, in the database.
  • the data has geographic information characteristics, so the obtained search results also have geographic information features. Therefore, in step 204 of the second embodiment, a map will also be displayed on the display page.
  • the so-called geographic information feature means that the data is a geographical entity that can be marked on the map, such as “Hailong Building” and “Haidian Book City”, which are geographical entities with geographical information characteristics.
  • the embodiment further includes step 206: when the user's mouse moves to the item, the location of the search result under the corresponding category of the item is marked on the map.
  • Figure 8 It is a schematic diagram of an embodiment when a page display map is displayed in an embodiment of the present invention.
  • the map is marked with three points a, b, and c, which are the entries of "Hongyuan Nanmen ⁇ Meat City”.
  • the location of the three search results under the corresponding category wherein when the user mouse moves to the mark of a search result under the corresponding category of the entry, the search result will also be highlighted on the map. For example, if you move to "Tiantan Store", the a position on the map will be highlighted. If the user's mouse moves to "Pan Pai Doufang", because the category corresponding to this item has only one search result, "Pan Pai Doufang" will be highlighted directly on the map.
  • step 205 and step 206 are not limited.
  • the flow shown in FIG. 7 is only for the description. In actual execution, step 205 and step 206 have no sequential relationship, and step 205 may be performed first. Step 206 is performed, and step 206 is performed first and then step 205 is performed.
  • the requirement attribute described in the present invention is not limited to the general requirement attribute or the precise requirement attribute in the above embodiment, and any attribute definition that reflects the user's requirement does not exceed the idea of the present invention.
  • the requirement attribute in step 103 may also be a historical behavior requirement attribute or a non-historical behavior requirement attribute. For example, if the user's search term appears in the user's historical search behavior, the search requirement is considered to belong to the historical behavior requirement attribute, otherwise the search requirement is considered to be a non-historical behavior requirement attribute.
  • step 104 when the search result needs to be aggregated according to the requirement attribute, the search result is aggregated and displayed on the display page.
  • the specific strategy includes: the search requirement has a historical behavior attribute, and the search result belongs to the category that has been clicked by the user before, and the search result under the category is aggregated and displayed, otherwise the non-aggregated display.
  • other strategies can be set according to specific situations.
  • FIG. 9 is a schematic structural block diagram of Embodiment 1 of a device for displaying search results according to an embodiment of the present invention.
  • the display device of the search result includes:
  • the receiving unit 301 is configured to acquire a search request of the user. Obtaining a user's search request is the basis for subsequent processing, which is no different from the prior art search.
  • the searching unit 302 is configured to perform a query in the database according to the search request to obtain a search result, wherein the search result is composed of one or more categories.
  • Search results have category characteristics because the data in the database has category characteristics.
  • clustering of data can be achieved. The following describes the data mining methods that can be used in the present invention.
  • Method 1 Extract the category keywords through the feature template, then use the category keywords to obtain the data belonging to the category, and finally put the same data labels for the data belonging to the same category.
  • the feature templates described above are generally confirmed to have higher accuracy by statistical data.
  • data mining is performed in a database based on a geographic entity.
  • the statistical data indicates that XX (@@@) has a high accuracy when representing a merchant with a chain store feature, wherein XX indicates the store name of the head office.
  • the @@@ in brackets indicates the store name of the branch. Therefore, through the feature template such as XX (@@@), the store name of the head office can be extracted first, and the store name of the head office also represents a category of a merchant, which can be used as a keyword of the category.
  • “Haidilao (Zhongguancun)” matches the above characteristic template, and “Hai Dian” can be extracted as a keyword for the category.
  • other possible feature templates may also include ⁇ —@@@, ⁇ :@@@ and so on.
  • the keyword of the category (the total store name in the above example)
  • the category keyword is “Hai Dian”
  • the data of the category is marked with the same data label, for example, the data of the same category has the same category ID number.
  • Method 2 Sort all the data in the database by name, so that data belonging to the same category will be placed in an adjacent position. Sequentially scanning all data, finding out the data of the longest common string of a continuous set of data greater than a specified threshold, the common string being a potential category keyword, and a set of data having the common string Belongs to this category.
  • the accuracy of the excavation can be further improved by the filtering strategy, such as manual review or according to some additional features, such as the store (branch), line (branch, branch), school (branch), hospital (sub-division), (Club) and so on.
  • the data of the category is marked with the same data label, for example, the data of the same category has the same category ID number.
  • Method 3 Clustering the topic of the page by semantic analysis of the content of the page.
  • the theme of the page can be obtained, the theme of the page represents the content described by the page, and one page can include multiple topics.
  • a web page describing how to use the mobile phone to access the Internet may include two themes of "mobile phone” and "online”, and one topic is a category.
  • the data of the category is marked with the same data label.
  • the data of the same category has the same category ID number.
  • each page can be labeled. ID number of one or more categories.
  • the determining unit 303 is configured to determine a demand attribute of the search request.
  • the demand attributes include a general demand attribute and an exact demand attribute.
  • the general requirement attribute refers to a relatively simple search keyword, which can match the search results of a wide range of user search requirements, such as the user search for "emulsion", the purpose is not to find a certain product, but to Search keywords like "Lotion" get more information to help him make the next decision.
  • the precise demand attribute means that the search keyword is relatively clear.
  • the user determines the product range that he or she wants to find. For example, the user searches for “Haidilao Hot Pot Peony Garden Store”, and wants to get the Haidilao Peony Garden Store. Information, rather than want to know the situation of other brands of hot pot restaurants, is not to get the situation of other stores in Haidilao, when the user's needs are accurate.
  • the method by which the determining unit 303 determines the demand attribute of the search request may include any one or more of the following combinations:
  • the ubiquitous feature vocabulary can be obtained in several ways, first through common classification tables, such as vocabulary by geographical region: Haidian, Chaoyang, Fengtai, etc., or vocabulary by brand: Sony, Biotherm, Nokia, etc. These classification tables are easy to collect based on common sense.
  • the general requirement feature vocabulary can also be obtained through the user search log.
  • the method of obtaining is to first mine some high frequency words and search words that can return more search results from the user's previous search words.
  • the specific method is to search. Search words whose frequency is higher than a set threshold are extracted or the search words whose returned search results are higher than a set threshold are extracted, and then the extracted search words are clustered, which can be obtained by machine learning.
  • the realization, finally through the manual review of the search words after filtering out the impurity words, can be used as the characteristic words of the general demand characteristic vocabulary.
  • the search results may belong to one or more categories, so the number of search results attributed to each category is calculated separately, so that one of these quantities can be obtained.
  • search for Zhongguancun hot pot and get the search results such as “Haidilao Peony Garden Store”, “Haidilao Hailong Building Store”, “Spicy Mother Po Hot Pot”, “Little Feiyang Zhichun Road Store”, “Little Sheep Sheep Peking University Store”.
  • These search results have category labels. According to the category labels, these search results belong to three categories: “Haidian Fishing”, “Little Sheep” and “Spicy Mother”.
  • the search result under the category of “Hai Dian” and “Little Sheep” is 2, and the search result under “Spicy Mother” is 1.
  • the maximum number of search results under each category is 2, if the set threshold is 3, since the maximum value is less than the set threshold, it can be judged that "Zhongguancun Hot Pot” has the exact demand attribute, but if the threshold is set, If it is 1, the maximum value is greater than the set threshold, so it will be judged that "Zhongguancun Hot Pot” has a general demand attribute.
  • the first display unit 304 is configured to perform aggregation display on the search result when the search request has a general requirement attribute. Aggregate impressions are in the form of displaying search results under the same category as one entry. Please refer to FIG. 3.
  • FIG. 3 is a schematic diagram of an embodiment of a search result aggregation display according to an embodiment of the present invention.
  • the category is the name of the merchant, such as "green silk styling” is a category, "LA The BELLEZA Hairdressing Salon is a category, and the “Aesthetic Beauty Salon City” is also a category.
  • the displayed items may be in the form of a list as shown in FIG. 3, and may be in other forms, for example, an item is represented by a circle, or an item is represented by other shapes and patterns, which is not limited by the present invention.
  • the displayed item is composed of the identifier of the category corresponding to the item, and the identifier includes a keyword, a descriptive text or a picture.
  • a descriptive text For example, in Figure 3, "Green Silk Shape", "LA” "BELLEZA” is the key word; "Recommendation: Ouyang Gaojian Da Kui Xiaoye", "No. 408, 4th Floor, Jinbaohui, No. 88 Jinbao Street, Dongcheng District (near Jinbao Building) "It is descriptive text.”
  • an embodiment of the present invention may put a warning identifier on the item to facilitate distinguishing from other items, such as the "green silk shape” shown in FIG.
  • a warning identifier such as “chain store” is added to the picture.
  • the entry may further include one or more tags of the search result under the corresponding category of the entry. For example, in the "Green Silk Shape” item, there are also such marks as "Cuiwei Plaza” and "Cuiwei Plaza”.
  • search results of a generic search engine When the search results of a generic search engine are displayed, the same category of search results can also be displayed as one entry. For example, users search for "Apple", because “Apple” is a keyword with multiple meanings, some pages describe Apple phones, Apple computers or Apple companies, and some pages describe Apple's fruit, some pages It is a description of Apple jeans. These different meanings form a category.
  • the webpage matching the "Apple” keyword When searching, the webpage matching the "Apple” keyword has a category label.
  • it needs to be aggregated it can be described as Apple mobile phone, Apple computer or Apple's web page is displayed as an entry that displays a page that describes Apple Fruit as an entry that shows the page of Apple Jeans as an entry.
  • the first presentation unit 304 can be further configured to non-aggregate the search results on the display page when the search request has an exact demand attribute.
  • the so-called non-aggregated display refers to the way in which several search results of the same category are not displayed as one item. Please refer to FIG. 4.
  • FIG. 4 is a schematic diagram of an embodiment of a non-aggregated display of search results according to an embodiment of the present invention.
  • the second display unit 305 is configured to display the search result under the corresponding category of the entry according to the preset policy when the user clicks on the item.
  • FIG. 5 is a schematic diagram showing an embodiment of a search result in an entry corresponding category according to an embodiment of the present invention.
  • the preset strategy includes any one or more of the following combinations:
  • the entry is expanded on the original page to the search results under the corresponding category of the entry.
  • the first strategy is a common click pop-up new page mode
  • the second strategy is the usual click to advance to the new page mode
  • the third way does not need to update the entire page, only the aggregation that originally appeared as an entry
  • the body expands on the original page and becomes a plurality of entries, each of which is a search result for a corresponding category.
  • FIG. 6 is a schematic diagram of an embodiment of a search result in an item corresponding category on an original page according to an embodiment of the present invention. As shown in Fig. 6, on the basis of Fig.
  • FIG. 10 is a schematic block diagram showing the structure of a second embodiment of a search result display device according to an embodiment of the present invention.
  • the unit 304 and the second display unit 305 are basically the same.
  • the difference is that the data in the database has the geographic information feature, so the obtained search result also has the geographic information feature. Therefore, the first display unit 404 of the second embodiment is also used for displaying The page shows a map.
  • the so-called geographic information feature means that the data is a geographical entity that can be marked on the map, such as “Hailong Building” and “Haidian Book City”, which are geographical entities with geographical information characteristics.
  • the present implementation further includes an annotation unit 406 for marking the location of the search result under the corresponding category of the entry on the map when the user's mouse moves to the entry.
  • FIG. 8 A schematic diagram of an embodiment of the embodiment of the present invention includes displaying a map corresponding to an entry.
  • the map is marked with three points a, b, and c, which are the entries of "Hongyuan Nanmen ⁇ Meat City”.
  • the location of the three search results under the corresponding category wherein when the user mouse moves to the mark of a search result under the corresponding category of the entry, the search result will also be highlighted on the map. For example, if you move to "Tiantan Store", the a position on the map will be highlighted. If the user's mouse moves to "Pan Pai Doufang", because the category corresponding to this item has only one search result, "Pan Pai Doufang" will be highlighted directly on the map.
  • the requirement attribute described in the present invention is not limited to the general requirement attribute or the precise requirement attribute in the above embodiment, and any attribute definition that reflects the user's requirement does not exceed the idea of the present invention.
  • the requirement attribute determined by the determining unit 303 may also be a historical behavior requirement attribute or a non-historical behavior requirement attribute. For example, if the user's search term appears in the user's historical search behavior, the search requirement is considered to belong to the historical behavior requirement attribute, otherwise the search requirement is considered to be a non-historical behavior requirement attribute.
  • the first display unit 304 can be configured to perform aggregation display on the display page on the display page when determining that the search result needs to be aggregated according to the requirement attribute.
  • the specific strategy includes: the search requirement has a historical behavior attribute, and the search result belongs to the category that has been clicked by the user before, and the search result under the category is aggregated and displayed, otherwise the non-aggregated display.
  • other strategies can be set according to specific situations.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention porte sur un procédé et un dispositif d'affichage de résultat de recherche. Le procédé d'affichage consiste à : A. obtenir une demande de recherche à partir d'un utilisateur ; B. interroger une base de données conformément à la demande de recherche pour obtenir chaque résultat de recherche ; C. déterminer les attributs d'exigence de chaque demande de recherche ; D. déterminer la manière d'affichage de chaque résultat de recherche conformément aux attributs d'exigence, les manières d'affichage comprenant la réalisation d'un affichage d'agrégation et d'un affichage non d'agrégation sur chaque résultat de recherche sur une page d'affichage. Par le procédé ci-dessus, la probabilité que le résultat de recherche soit affiché sur la page d'accueil peut être accrue de manière efficace, améliorant la possibilité que des utilisateurs cliquent sur le résultat de recherche.
PCT/CN2012/073508 2011-05-11 2012-04-05 Procédé et dispositif d'affichage de résultat de recherche WO2012152157A1 (fr)

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