WO2023197872A1 - 书籍搜索方法、装置、设备和存储介质 - Google Patents

书籍搜索方法、装置、设备和存储介质 Download PDF

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Publication number
WO2023197872A1
WO2023197872A1 PCT/CN2023/084768 CN2023084768W WO2023197872A1 WO 2023197872 A1 WO2023197872 A1 WO 2023197872A1 CN 2023084768 W CN2023084768 W CN 2023084768W WO 2023197872 A1 WO2023197872 A1 WO 2023197872A1
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Prior art keywords
book
category
search
recommended
categories
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PCT/CN2023/084768
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English (en)
French (fr)
Inventor
关卉然
李菁华
陈伟松
于治麒
屈京
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Beijing ByteDance Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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Priority to US18/710,992 priority Critical patent/US20250013700A1/en
Publication of WO2023197872A1 publication Critical patent/WO2023197872A1/zh
Anticipated expiration legal-status Critical
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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/954—Navigation, e.g. using categorised browsing

Definitions

  • the present disclosure relates to the field of search technology, and in particular to a book search method, device, equipment and storage medium.
  • users In the field of book search, users usually enter search content in the client, and the client sends the search content to the search engine.
  • the search engine then returns the book category results or book results corresponding to the search content and displays them on the client. middle. If the book category results or book results do not contain the search results required by the user, the user needs to re-enter new search content and repeat the above book search process.
  • the present disclosure provides a book search method, device, equipment and storage medium.
  • the present disclosure provides a book search method, which method includes:
  • a book aggregation card is generated based on each of the recommended book categories and the book information, and the book aggregation card is displayed on the search results page.
  • a book search device which includes:
  • Search content receiving module used to receive target search content
  • a recommended book category acquisition module is used to acquire multiple recommended book categories related to the target search content, and book information corresponding to each recommended book category;
  • a book aggregation card display module is used to generate a book aggregation card based on each of the recommended book categories and the book information, and display the book aggregation card in the search results page.
  • an electronic device which includes:
  • Memory used to store executable instructions
  • the processor is configured to read executable instructions from the memory and execute the executable instructions to implement the book search method described in any embodiment of the present disclosure.
  • the present disclosure provides a computer-readable storage medium, which stores a computer program.
  • the computer program When the computer program is executed by a processor, it causes the processor to implement the book search method described in any embodiment of the present disclosure.
  • the book search method, device, equipment and storage medium of the embodiments of the present disclosure can obtain multiple recommended book categories related to the target search content input by the user and the book information corresponding to each recommended book category, and based on each recommended book
  • the category and the book information generate a book aggregation card, and the book aggregation card is displayed in the search results page; so that the user can directly view and target searches in the search results page without repeatedly performing book search operations and search result filtering operations.
  • Multiple recommended book categories associated with content and book information under each recommended book category reduce user search costs, simplify the book search process, and improve book search efficiency.
  • Figure 1 is a schematic flow chart of a book search method provided by an embodiment of the present disclosure
  • Figure 2 is a schematic display diagram of a search result page provided by an embodiment of the present disclosure
  • Figure 3 is a schematic diagram showing another search result page provided by an embodiment of the present disclosure.
  • Figure 4 is a schematic diagram showing yet another search result page provided by an embodiment of the present disclosure.
  • Figure 5 is a schematic structural diagram of a book search device provided by an embodiment of the present disclosure.
  • FIG. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • the term “include” and its variations are open-ended, ie, “including but not limited to.”
  • the term “based on” means “based at least in part on.”
  • the term “one embodiment” means “at least one embodiment”; the term “another embodiment” means “at least one additional embodiment”; and the term “some embodiments” means “at least some embodiments”. Relevant definitions of other terms will be given in the description below.
  • embodiments of the present disclosure provide a book search solution to realize a search behavior of the target search content and display to the user multiple recommended book categories associated with the target search content and the book information contained in the recommended book category. , thereby preventing users from repeatedly modifying the search content and initiating a book search process, saving users' labor and time costs in book search, thereby improving book search efficiency and user experience.
  • the book search method provided by the embodiments of the present disclosure can be applied to scenarios in which book-related searches are performed in book applications, browsers, or other applications with search functions.
  • the method can be performed by a book search device, which can be implemented by software and/or hardware, and which can be integrated in an electronic device with input and display functions.
  • electronic devices may include, but are not limited to, smart phones, notebook computers, personal digital assistants (Personal Digital Assistants, PDA), tablet computers (Tablet Personal Computer, Tablet PC), PMP (portable multimedia players), vehicle-mounted terminals (such as Mobile terminals such as vehicle navigation terminals), wearable devices, etc., and fixed terminals such as digital TVs, desktop computers, smart home devices, etc.
  • Figure 1 shows a schematic flowchart of a book search method provided by an embodiment of the present disclosure. As shown in Figure 1, the book search method may include the following steps:
  • the target search content refers to the search content related to books input by the user.
  • Search content refers to content that requires search engines to perform search operations and feedback search results. It can be keywords or complete long or short sentences.
  • the electronic device may receive target search content input by the user within a content search page of a specific application or a specific website.
  • the user can enter information in any form such as text, voice, image, etc. in the search box on the search page, so that the electronic device uses the text corresponding to the information entered by the user as the search content entered by the user. For example, the user can enter "apocalypse" or "culture**" in the search box, and the electronic device will use the input text as the target search content.
  • multiple candidate search content may be displayed on the search page, and the user may select from the displayed candidate search content, causing the electronic device to use the candidate search content selected by the user as the search content.
  • the search page displays multiple candidate search content corresponding to the book "XXX", book category "XX”, etc. in the search box, below the search box, or in other areas. Users can select from these candidates Select a candidate search content that interests you from the search content as the target search content.
  • the electronic device after the electronic device receives the target search content input by the user, it may be sent to the server. After receiving the target search content, the server will perform content identification and search on it.
  • the server identifies the target search content to determine whether it belongs to category search content or book search content.
  • the search content of this category refers to the search content initiated for the book category
  • the book search content refers to the search content initiated for the search for a specific book.
  • a book name list and a book category list are pre-stored in the server.
  • the server matches the keywords corresponding to the target search content and similar words of the keywords with the content in the book name list and book category list respectively. If the match is successful with the book name list, it is determined that the target search content is the book search content, and specifically the successfully matched book Registration name. If the match is successful with the book category list, it is determined that the target search content is the category search content, and is specifically the successfully matched book category name.
  • a trained machine learning model is pre-stored in the server.
  • the server inputs the target search content into the trained machine learning model. Through model calculation, it can output that the target search content belongs to category search content or book search content.
  • the above-mentioned book name list, the above-mentioned book category list and the above-mentioned trained machine learning model may be stored in the server at the same time.
  • the server first matches the target search content to a list of book names and a list of book categories. If the match is successful, proceed as in the first example above. If the match fails, proceed as in the second example above.
  • the server searches the identified category search content or book search content to determine comprehensive search results corresponding to the target search content, multiple recommended book categories associated with the target search content, and the content included under each recommended book category. Book information for at least one book. Afterwards, the server feeds back the comprehensive search results, multiple recommended book categories and their corresponding book information to the electronic device.
  • the recommended book category refers to a book category that is relevant to the target search content and recommended and displayed to the user.
  • the recommended book category is a primary book category or a secondary book category.
  • the first-level book categories and the second-level book categories respectively refer to the book categories that belong to the upper and lower levels in the book classification system. For example, they can be major categories and sub-categories under the major categories in the book classification system.
  • the book classification system may be an existing classification system in related technologies, or it may be an emerging classification system obtained by mining books and user-authorized book-related behavior data.
  • the recommended book categories can be either primary or secondary book categories. That is, the multiple recommended book categories fed back by the server are not limited to the level of the book category, as long as they are relevant to the target search content.
  • Book information refers to relevant information describing books.
  • the book information includes a book identification including a book picture and/or a book name. in another display
  • book information includes book identification and book interaction information.
  • the book interaction information includes the user's comments on the book, the number of likes, ratings, sharing times, etc. This can provide more dimensional reference information for users to select books, thereby improving the efficiency of users in screening books.
  • the book categories that can be provided for book screening and search in the related technology are preset fixed categories, for example, displaying book categories at all levels in the existing book classification system.
  • Each book category displayed in this case has nothing to do with the target search content entered by the user, that is, no matter what search content the user enters, the book categories displayed are the same.
  • multiple book categories are displayed for users to filter books, users still need to understand each book category and repeatedly try to select the book category before they can filter out the books they need. This will also lead to the problem of low book search efficiency.
  • the multiple book categories displayed have the counter-effect of interfering with user searches, resulting in a poor user experience.
  • the server needs to select at least two book categories that have a certain correlation with the target search content from many book categories as recommended book categories for feedback to the electronic device.
  • the electronic device can obtain multiple recommended book categories that are associated with the target search content, and the book information of the books included in each recommended book category.
  • the recommended book categories obtained are all book categories related to the target search content entered by the user, which can reflect the user's search needs to a certain extent, thus not affecting the user. It causes search interference and can provide guidance for users to search, thereby improving the user's book search efficiency and improving the user's search experience.
  • the book aggregation card is a display card that aggregates various book-related information.
  • the electronic device generates a book aggregation card based on the received recommended book categories and their corresponding book information, so that each recommended book category and its corresponding book information can be displayed in a centralized manner. Then, display the book aggregation card in the search results page.
  • displaying the book aggregation card package in the search results page in S130 Includes: displaying a book aggregation card at a preset position on the search results page; in the book aggregation card, displaying each recommended book category in a navigation style or a list style, and displaying target books in each recommended book category in a first default style category, display other book categories in each recommended book category in a second default style, and display book information corresponding to the target book category.
  • the preset position is a predetermined information display position in the search results page.
  • the first preset style and the second preset style are respectively the preset display styles of the control where the book category is located, and the display effects of the first preset style and the second preset style are different.
  • the display effect of the first preset style may be stronger than the display effect of the second preset style to achieve the purpose of highlighting the controls displayed according to the first preset style.
  • the target book category refers to a recommended book category that is hit.
  • it can be a recommended book category that is arranged in a specific position (such as the first, middle position, etc.), or it can be a recommended book category that is directly hit by the target search content.
  • Other book categories are recommended book categories other than the target book category among the obtained recommended book categories.
  • the electronic device displays the above-mentioned book aggregation card at a preset position on the search result page.
  • each recommended book is first displayed in the side area of the book aggregation card (such as the upper edge area, the lower edge area, the left edge area or the right edge area, etc.) in a navigation style or a list style. category.
  • the electronic device displays the target book category in a first preset style, and displays other book categories in a second preset style. Then, the information of each book corresponding to the target book category is displayed in the remaining area of the book aggregation card.
  • the above-mentioned preset position is related to whether the target search content is category search content or book search content.
  • the target search content is a category search content
  • the first thing displayed/highlighted on the search results page is the search result items related to the book category
  • the book aggregation card includes each recommended book category. Therefore, in this case, the above-mentioned preset position may be the first area adjacent to the top of the page.
  • the above displaying the book aggregation card at a preset position on the search result page includes: displaying the book aggregation card in the first area of the search result page.
  • the target search content is the category search content "apocalypse".
  • a search result page 201 is displayed on the electronic device 200, and a book aggregation card "End Times ⁇ Related Category" is displayed in the first area 202 of the search result page 201.
  • Each recommended book category 203 is displayed on the upper edge of the book aggregation card.
  • the electronic device displays the target book category "End Times” in a first default style with bold text and borders, and displays the other book categories "Rebirth” and "Fantasy” in a second default style with neither text nor borders bolded. Romance,” “Science Fiction,” and “Modern Romance,” etc.
  • the electronic device displays a plurality of book information 204 corresponding to the target book category "End Times” in the lower half area of the book aggregation card.
  • the search results page can also display relevant information about the discussion topic circle corresponding to the target book category to provide users with more dimensional book category information.
  • the target search content is book search content
  • the first thing displayed/highlighted on the search results page should be the hit book-related search result entries (ie, book search results). Therefore, in this case, the book search results will be displayed in the above-mentioned first area, and the book aggregation card may be displayed in the display area immediately after the first area (ie, the second area), that is, the above-mentioned on the search results page. Displaying the book aggregation card at a preset position includes: displaying the book aggregation card in the second area of the search results page.
  • the target search content is the book search content "culture**".
  • a search result page 301 is displayed on the electronic device 300, and a plurality of book search results are displayed in the first area 302 of the search result page 301.
  • a book aggregation card "Those who read "Culture **" are also reading” are displayed.
  • Each recommended book category 304 is displayed on the upper edge of the book aggregation card.
  • the electronic device displays the target book category "Literary Novels" in a first default style with bold text and borders, and displays each other book category "Books by the same author” in a second default style with neither bold text nor borders. ” and “Poetry and Prose” etc.
  • the electronic device displays a plurality of book information 305 corresponding to the target book category "Literary Novels" in the lower half area of the book aggregation card.
  • the book search method further includes: in response to a triggering operation on any other book category in each recommended book category, displaying the triggered other book categories in a first preset style, in a third Two default styles display other books that have not been triggered Book category and target book category, and display book information corresponding to other triggered book categories.
  • the electronic device modifies the display style of the controls of each recommended book category, and synchronously switches to display the book information below.
  • the electronic device displays the triggered other book category "Fantasy Romance” in a first preset style with bold text and borders, and displays the previous target book category "" in a second preset style with neither text nor borders bolded. Apocalypse" and various other book categories such as "Rebirth,” “Science Fiction,” and “Contemporary Romance.” Furthermore, the electronic device displays multiple book information 404 corresponding to the other triggered book categories "Fantasy Romance” in the lower half area of the book aggregation card.
  • the above book search method can obtain multiple recommended book categories related to the target search content input by the user and the book information corresponding to each recommended book category, and generate a book aggregation based on each recommended book category and book information. cards, and display book aggregation cards in the search results page; users do not need to repeatedly perform book search operations and search result filtering operations, but can directly view multiple recommended book categories associated with the target search content and each Book information under each recommended book category reduces user search costs, simplifies the book search process, and improves book search efficiency.
  • the recommended book category is determined based on at least one of a first book category, a second book category, and a third book category.
  • the first book category includes the book category to which the keyword corresponding to the target search content belongs. That is, the first book category is the book category directly hit by the target search content.
  • the first book category includes book categories that match keywords included in the category search content.
  • the server will extract keywords from the category search content, and use the keywords to match book categories (see the description of S110) to obtain a book category with the highest matching degree, as First Book Category.
  • the first book category when the target search content is book search content, includes the book category to which the category keyword corresponding to the target book hit by the book search content belongs, and/or the book attribute corresponding to the target book.
  • the book attributes include at least one of the author, the age or event background corresponding to the book content, the length of the book, and the status of the book.
  • the book status may include a book completion status indicating whether the book is completed, a book popularity status indicating whether the book is a masterpiece, etc.
  • the server will first extract keywords from the book search content and match the target book based on the keywords.
  • the book category corresponding to the target book is determined from the category keywords (or category tags) carried by the target book as the first book category.
  • the server can also mine book categories based on the attribute information of the target book. For example, the author of the target book is determined as an author category, the era or event background described in the book content of the target book is determined as a chronological category, the book length of the target book is determined as a length category, whether the book is completed is determined The book completion status, whether the book is a masterpiece, the book popularity status, etc. are determined as a book status category, etc.
  • the server can determine at least one first book category based on the target book, and each first book category has a certain correlation with the target search content, and can be used to achieve search consumption of related book categories based on the target book.
  • the second book category includes a book category whose overlap degree with the books corresponding to the first book category reaches a preset threshold.
  • the server mines the second book category, it processes it from the perspective of the overlap of books included in each book category. For example, if the first book category contains 34 books, and a certain book category contains 50 books, and some of these books overlap, then the number of overlapping books or the number of overlapping books included in the first book category The proportion of books can be defined as the overlap of books. From this you can Understand that the higher the overlap of books, the higher the correlation between two book categories.
  • the server can calculate the overlap degree of books between each book category and the first book category, and determine the book category whose overlap degree reaches a preset overlap threshold (ie, a preset threshold) as the second book category. .
  • a preset overlap threshold ie, a preset threshold
  • the third book category includes a book category extracted from the book interaction behavior data corresponding to the target search content.
  • the book interaction behavior data is user behavior data authorized by the user to perform book-related operations (such as searching, reading, commenting, sharing, liking, etc.).
  • the book interaction behavior data includes at least one of book categories hit by continuously triggered category search content, books hit by continuously triggered book search content, and read books.
  • the book categories hit by the category search content triggered continuously above refer to the book categories hit by the category search content input by the user in multiple consecutive book search behaviors. For example, a certain user or some users searched for "the end of the world" and the first book category hit by the category search content entered in multiple consecutive book searches.
  • the books hit by the continuously triggered book search content refer to the first book category corresponding to the books hit by the book search content input by the user in multiple consecutive book search actions.
  • the above-mentioned read books refer to the first book category corresponding to the books that many users have read in history. For example, what other books did the user read within a period of time after reading the "Culture**" books, and the first book category corresponding to these read books.
  • the server can obtain the book interaction behavior data authorized by the user within a certain period of time, and then extract the book category from the obtained book interaction behavior data according to the above process to obtain the third book category.
  • the third book category obtained through the above process is also associated with the target search content, and can also be used to implement searches for related book categories based on the target book. Consumption.
  • the first book category, the second book category and the third book category Book categories are all book categories that are relevant to the target search content. Therefore, in the process of searching the target search content, the server can obtain the first book category, a second book category and a third book category, and at least one of the first book category, the second book category and the third book category is determined as a recommended book category.
  • recommended book categories in the book aggregation card are ordered based on category relevancy.
  • each recommended book category can be sorted according to the category correlation, so that the recommended book categories with higher correlation with the target search content are arranged in higher order. Front position.
  • the above-mentioned category correlation is based on at least one of the search frequency of each recommended book category, the overlap of books between the target book category and each other book category, and the correlation search closeness between each recommended book category.
  • the above-mentioned search frequency of each recommended book category refers to the number or frequency of book searches initiated for each recommended book category in the above-mentioned book interaction behavior data as category search content. The higher the search frequency, the higher the user attention of the recommended book category, and the higher the category correlation between it and the target search content.
  • the above-mentioned degree of overlap of books between the target book category and each other book category refers to the degree of overlap of books between each other book category and the target book category. Because the target book category is the book category directly hit by the target search content, the target book category has the highest correlation with the target search content, and the higher the overlap between other book categories and books in the target book category, the higher the overlap between the other book categories and the target book category. The category relevance of the search content is also higher.
  • the correlation search closeness between the above-mentioned recommended book categories refers to the number of times or proportion of any two recommended book categories that are used as search content for consecutive searches in the above-mentioned book interaction behavior data. For example, for a target recommended book category and a certain other recommended book category, in the above book interaction behavior data, after searching for the target recommended book category, the number of searches for the other recommended book category is followed, or the number of searches and the total number of searches. proportion, it can be used as a search keyword for the correlation between the target recommended book category and the other recommended book categories. density. It can be seen that the higher the closeness of the related search, the higher the correlation between the two corresponding recommended book categories. Then, according to the above process, the server can calculate the correlation search closeness between each other recommended book category and the target book category. Based on these correlation search closeness, the category correlation between each recommended book category and the target search content can be obtained. .
  • the server can obtain three-dimensional category correlations corresponding to each recommended book category according to the calculation methods of various category correlations mentioned above. Then, the server may use any one of the above-mentioned search frequency, the above-mentioned overlap degree of the books, and the above-mentioned related search closeness as the category correlation degree corresponding to each recommended book category. Alternatively, the server can perform a weighted calculation on any two or three of the above search frequency, the overlap degree of the above books, and the above related search closeness to obtain a comprehensive value as the category correlation corresponding to each recommended book category.
  • Figure 5 shows a schematic structural diagram of a book search device provided by an embodiment of the present disclosure.
  • the book search device 500 may include:
  • Search content receiving module 510 used to receive target search content
  • the recommended book category acquisition module 520 is used to acquire multiple recommended book categories related to the target search content, and book information corresponding to each recommended book category;
  • the book aggregation card display module 530 is used to generate a book aggregation card based on each recommended book category and book information, and display the book aggregation card in the search results page.
  • the above-mentioned book search device can obtain multiple recommended book categories related to the target search content input by the user and the book information corresponding to each recommended book category, and generate a book aggregation based on each recommended book category and book information. cards, and display book aggregation cards in the search results page; users do not need to repeatedly perform book search operations and search result filtering operations, but can directly view and target in the search results page Searching multiple recommended book categories associated with the content and the book information under each recommended book category reduces user search costs, simplifies the book search process, and improves book search efficiency.
  • the book aggregation card display module 530 includes:
  • the book aggregation card generation sub-module is used to generate book aggregation cards based on each recommended book category and book information;
  • the book aggregation card display sub-module is used to display the book aggregation card at a preset position on the search results page; in the book aggregation card, each recommended book category is displayed in a navigation style or a list style, and each recommended book category is displayed in the first default style.
  • the target book category in the recommended book category, other book categories in each recommended book category are displayed in a second default style, and book information corresponding to the target book category is displayed.
  • the book aggregation card display sub-module is specifically used to:
  • the book aggregation card is displayed in the first area of the search results page; where the first area is a display area adjacent to the top of the page;
  • the book aggregation card is displayed in the second area of the search results page; where the second area is an adjacent display area arranged after the area where the book search results are located.
  • the book search device 500 also includes a book category switching module for:
  • the recommended book category is a primary book category or a secondary book category.
  • the recommended book category is determined based on at least one of a first book category, a second book category, and a third book category;
  • the first book category includes the book category to which the keyword corresponding to the target search content belongs;
  • the second book category includes the book category whose overlap degree with the books corresponding to the first book category reaches a preset threshold;
  • the third book category includes the book category from the target search content.
  • the book category extracted from the book interaction behavior data corresponding to the search content.
  • the first book category when the target search content is category search content, includes book categories that match keywords included in the category search content;
  • the first book category includes the book category to which the category keyword corresponding to the target book hit by the book search content belongs, and/or the book category corresponding to the book attribute of the target book; wherein , book attributes include at least one of the author, the age or event background corresponding to the book content, the length of the book, and the status of the book.
  • the book interaction behavior data includes at least one of book categories hit by continuously triggered category search content, books hit by continuously triggered book search content, and read books.
  • each recommended book category in the book aggregation card is sorted based on category relevance
  • the category relevance is determined based on at least one of the search frequency of each recommended book category, the overlap of books between the target book category and each other book category, and the correlation search closeness between each recommended book category;
  • the target The book category is a recommended book category hit by the target search content, and the other book categories are recommended book categories other than the target book category.
  • the book information includes a book identification; wherein the book identification includes a book picture and/or a book name;
  • the book information includes book identification and book interaction information.
  • the book search device provided by the embodiment of the present disclosure can execute the book search method provided by any embodiment of the present disclosure, and has functional modules and beneficial effects corresponding to the execution method.
  • Embodiments of the present disclosure also provide an electronic device, which may include a processor and a memory, and the memory may be used to store executable instructions.
  • the processor may be configured to read executable instructions from the memory and execute the executable instructions to implement the book search method in the above embodiment.
  • FIG. 6 shows a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.
  • the electronic device 600 may include a processing device (such as a central processing unit, a graphics processor, etc.) 601, which may be loaded into a random access device according to a program stored in a read-only memory (ROM) 602 or from a storage device 608.
  • the program in the memory (RAM) 603 is accessed to execute various appropriate actions and processes.
  • various programs and data required for the operation of the information processing device 600 are also stored.
  • the processing device 601, ROM 602 and RAM 603 are connected to each other via a bus 604.
  • An input/output interface (I/O interface) 605 is also connected to bus 604.
  • I/O interface 605 input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speakers, vibration
  • input devices 606 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speakers, vibration
  • An output device 607 such as a computer
  • storage device 608 including a magnetic tape, a hard disk, etc.
  • Communication device 609 may allow electronic device 600 to communicate wirelessly or wiredly with other devices to exchange data.
  • FIG. 6 shows an electronic device 600 having various devices, it should be understood that implementation or having all of the illustrated devices is not required. More or fewer means may alternatively be implemented or provided.
  • embodiments of the present disclosure include a computer program product including a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart.
  • the computer program can be downloaded and installed from the network through the communication device 609, or installed from the storage device 608, or installed from the ROM 602.
  • the processing device 601 the above functions defined in the book search method of any embodiment of the present disclosure are performed.
  • Embodiments of the present disclosure also provide a computer-readable storage medium, which stores a computer program.
  • the computer program When executed by a processor, it causes the processor to implement the book search method in any embodiment of the present disclosure.
  • the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the above two.
  • the computer-readable storage medium may be, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples of computer readable storage media may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard drive, random access memory (RAM), read only memory (ROM), removable Programmd read-only memory (EPROM or flash memory), fiber optics, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above.
  • a computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device .
  • Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to: wire, optical cable, RF (radio frequency), etc., or any suitable combination of the above.
  • clients and servers may communicate using any currently known or future developed network protocol, such as HTTP, and may be interconnected with any form or medium of digital data communication (eg, a communication network).
  • a communication network examples include local area networks (“LAN”), wide area networks (“WAN”), the Internet (e.g., the Internet), and and end-to-end networks (e.g., ad hoc end-to-end networks), as well as any currently known or future developed networks.
  • LAN local area networks
  • WAN wide area networks
  • the Internet e.g., the Internet
  • end-to-end networks e.g., ad hoc end-to-end networks
  • the above-mentioned computer-readable medium may be included in the above-mentioned electronic device; it may also exist independently without being assembled into the electronic device.
  • the computer-readable medium carries one or more programs.
  • the electronic device When the one or more programs are executed by the electronic device, the electronic device performs the steps of the book search method described in any embodiment of the present disclosure.
  • computer program code for performing operations of the present disclosure may be written in one or more programming languages, including but not limited to object-oriented programming languages - such as Java, Smalltalk, C++, but also conventional procedural programming languages - such as "C" or similar programming languages.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as an Internet service provider). connected via the Internet).
  • LAN local area network
  • WAN wide area network
  • Internet service provider such as an Internet service provider
  • each block in the flowchart or block diagram may represent a module, segment, or portion of code that contains one or more logic functions that implement the specified executable instructions.
  • the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown one after another may actually execute substantially in parallel, or they may sometimes execute in the reverse order, depending on the functionality involved.
  • each block of the block diagram and/or flowchart illustration, and combinations of blocks in the block diagram and/or flowchart illustration can be implemented by special purpose hardware-based systems that perform the specified functions or operations. , or can be implemented using a combination of specialized hardware and computer instructions.
  • FPGA field programmable gate array
  • ASIC application specific integrated circuit
  • ASSP application specific standard product
  • SOC system on chip
  • CPLD complex programmable logic device
  • a machine-readable medium may be a tangible medium that may contain or store a program for use by or in connection with an instruction execution system, apparatus, or device.
  • the machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium.
  • Machine-readable media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any suitable combination of the foregoing.
  • machine-readable storage media would include one or more wire-based electrical connections, laptop disks, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.
  • RAM random access memory
  • ROM read only memory
  • EPROM or flash memory erasable programmable read only memory
  • CD-ROM portable compact disk read-only memory
  • magnetic storage device or any suitable combination of the above.

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Abstract

本公开涉及一种书籍搜索方法、装置、设备和存储介质。其中，书籍搜索方法包括：接收目标搜索内容；获取与所述目标搜索内容相关的多个推荐书籍类别，以及各所述推荐书籍类别对应的书籍信息；基于各所述推荐书籍类别和所述书籍信息生成书籍聚合卡片，并在搜索结果页面中展示所述书籍聚合卡片。根据本公开实施例，使得用户可直接在搜索结果页面中查看与目标搜索内容相关联的多个推荐书籍类别以及每个推荐书籍类别下属的书籍信息，降低了用户搜索成本，简化了书籍搜索流程，提高了书籍搜索效率。

Description

书籍搜索方法、装置、设备和存储介质
相关申请的交叉引用
本申请基于申请号为202210399916.3、申请日为2022年04月15日，名称为“书籍搜索方法、装置、设备和存储介质”的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开涉及搜索技术领域，尤其涉及一种书籍搜索方法、装置、设备和存储介质。
背景技术
在书籍搜索领域中，通常是用户在客户端中输入搜索内容，客户端将搜索内容发送至搜索引擎，再由搜索引擎返回搜索内容对应的书籍类别结果或书籍结果，并将其显示在客户端中。如果书籍类别结果或书籍结果中不包含用户需求的搜索结果，那么需要用户重新输入新的搜索内容再次重复上述书籍搜索过程。
但是，上述过程中，用户需要反复确定合适的搜索内容，并反复执行搜索操作以及对搜索结果进行浏览和判断的操作，致使书籍搜索过程繁复且搜索效率低下。
发明内容
为了解决上述技术问题，本公开提供了一种书籍搜索方法、装置、设备和存储介质。
第一方面，本公开提供了一种书籍搜索方法，该方法包括：
接收目标搜索内容；
获取与所述目标搜索内容相关的多个推荐书籍类别，以及各所述推荐书籍类别对应的书籍信息；
基于各所述推荐书籍类别和所述书籍信息生成书籍聚合卡片，并在搜索结果页面中展示所述书籍聚合卡片。
第二方面，本公开提供了一种书籍搜索装置，该装置包括：
搜索内容接收模块，用于接收目标搜索内容；
推荐书籍类别获取模块，用于获取与所述目标搜索内容相关的多个推荐书籍类别，以及各所述推荐书籍类别对应的书籍信息；
书籍聚合卡片展示模块，用于基于各所述推荐书籍类别和所述书籍信息生成书籍聚合卡片，并在搜索结果页面中展示所述书籍聚合卡片。
第三方面，本公开提供了一种电子设备，该设备包括：
处理器；
存储器，用于存储可执行指令；
其中，处理器用于从存储器中读取可执行指令，并执行可执行指令以实现本公开任意实施例所说明的书籍搜索方法。
第四方面，本公开提供了一种计算机可读存储介质，该存储介质存储有计算机程序，当计算机程序被处理器执行时，使得处理器实现本公开任意实施例所说明的书籍搜索方法。
本公开实施例的书籍搜索方法、装置、设备和存储介质，能够获取与用户输入的目标搜索内容相关的多个推荐书籍类别以及每个推荐书籍类别对应的书籍信息，并基于各所述推荐书籍类别和所述书籍信息生成书籍聚合卡片，且在搜索结果页面中展示所述书籍聚合卡片；使得用户无需反复进行书籍搜索操作和搜索结果筛选操作，便可直接在搜索结果页面中查看与目标搜索内容相关联的多个推荐书籍类别以及每个推荐书籍类别下属的书籍信息，降低了用户搜索成本，简化了书籍搜索流程，提高了书籍搜索效率。
附图说明
结合附图并参考以下具体实施方式，本公开各实施例的上述和其 他特征、优点及方面将变得更加明显。贯穿附图中，相同或相似的附图标记表示相同或相似的元素。应当理解附图是示意性的，原件和元素不一定按照比例绘制。
图1为本公开实施例提供的一种书籍搜索方法的流程示意图；
图2为本公开实施例提供的一种搜索结果页面的显示示意图；
图3为本公开实施例提供的另一种搜索结果页面的显示示意图；
图4为本公开实施例提供的又一种搜索结果页面的显示示意图；
图5为本公开实施例提供的一种书籍搜索装置的结构示意图；
图6为本公开实施例提供的一种电子设备的结构示意图。
具体实施方式
下面将参照附图更详细地描述本公开的实施例。虽然附图中显示了本公开的某些实施例，然而应当理解的是，本公开可以通过各种形式来实现，而且不应该被解释为限于这里阐述的实施例，相反提供这些实施例是为了更加透彻和完整地理解本公开。应当理解的是，本公开的附图及实施例仅用于示例性作用，并非用于限制本公开的保护范围。
应当理解，本公开的方法实施方式中记载的各个步骤可以按照不同的顺序执行，和/或并行执行。此外，方法实施方式可以包括附加的步骤和/或省略执行示出的步骤。本公开的范围在此方面不受限制。
本文使用的术语“包括”及其变形是开放性包括，即“包括但不限于”。术语“基于”是“至少部分地基于”。术语“一个实施例”表示“至少一个实施例”；术语“另一实施例”表示“至少一个另外的实施例”；术语“一些实施例”表示“至少一些实施例”。其他术语的相关定义将在下文描述中给出。
需要注意，本公开中提及的“第一”、“第二”等概念仅用于对不同的装置、模块或单元进行区分，并非用于限定这些装置、模块或单元所执行的功能的顺序或者相互依存关系。
需要注意，本公开中提及的“一个”、“多个”的修饰是示意性而非限制性的，本领域技术人员应当理解，除非在上下文另有明确指出，否则应该理解为“一个或多个”。
本公开实施方式中的多个装置之间所交互的消息或者信息的名称仅用于说明性的目的，而并不是用于对这些消息或信息的范围进行限制。
目前的书籍搜索过程中，当用户搜索某一书籍类别后，往往会向用户展示搜索直接命中的、包含搜索关键词的书籍类别。但是，不同用户群对同一书籍类别可能有不同的细分诉求，这样搜索引擎反馈的搜索结果就无法满足不同用户的搜索需求。当用户搜索某一本书籍后，往往会向用户展示搜索直接命中的、包含搜索关键词的书籍信息。但是，不同用户群可能存在对该书籍所属的同一书籍类别或同一作者等维度的其他书籍的找书诉求，同样地，搜索引擎反馈的搜索结果无法满足不同用户的搜索需求。
基于上述情况，本公开实施例提供一种书籍搜索方案，以实现通过一次目标搜索内容的搜索行为，向用户展示目标搜索内容相关联的多个推荐书籍类别和该推荐书籍类别下包含的书籍信息，从而避免用户反复修改搜索内容并发起书籍搜索的过程，节省用户进行书籍搜索的人力成本和时间成本，进而提高书籍搜索效率，提升用户使用体验。
本公开实施例提供的书籍搜索方法，可适用于在书籍类应用程序、浏览器或其他具有搜索功能的应用程序中进行书籍相关搜索的场景中。该方法可以由书籍搜索装置来执行，该装置可以由软件和/或硬件的方式实现，该装置可以集成在具有输入和显示功能的电子设备中。其中，电子设备可以包括但不限于诸如智能手机、笔记本电脑、个人数字助理(Personal Digital Assistant，PDA)、平板电脑(Tablet Personal Computer，Tablet PC)、PMP(便携式多媒体播放器)、车载终端(例如车载导航终端)、可穿戴设备等等的移动终端以及诸如数字电视、台式计算机、智能家居设备等等的固定终端。
图1示出了本公开实施例提供的一种书籍搜索方法的流程示意图。如图1所示，该书籍搜索方法可以包括如下步骤：
S110、接收目标搜索内容。
本公开实施例中，目标搜索内容是指用户输入的、与书籍相关的搜索内容。搜索内容是指需要搜索引擎执行搜索操作并反馈搜索结果的内容，其可以是关键词，也可以是完整的长句或短句。
具体地，电子设备可以接收用户在特定应用程序或者特定网站的内容搜索页面内输入的目标搜索内容。
在一些实施例中，用户可以在搜索页面的搜索框内输入文字、语音和图像等中的任一种形式的信息，使电子设备将用户输入的信息对应的文字作为用户输入的搜索内容。例如，用户可以在搜索框中输入“末世”或“文化**”，电子设备便将该输入文本作为目标搜索内容。
在另一些实施例中，搜索页面内可以显示有多个候选搜索内容，用户可以在显示的候选搜索内容中进行选择，使电子设备将用户选中的候选搜索内容作为搜索内容。例如，对于热门书籍或热门书籍类别，搜索页面在搜索框中、搜索框下方或其他区域中显示有书籍“XXX”、书籍类别“XX”等对应的多个候选搜索内容，用户可以从这些候选搜索内容中选择一个自己感兴趣的候选搜索内容，作为目标搜索内容。
本公开实施例中，在电子设备接收到用户输入的目标搜索内容之后，可以将其发送至服务器。服务器接收到目标搜索内容后会对其进行内容识别和搜索。
首先，服务器先对目标搜索内容进行识别，以确定其属于类别搜索内容或书籍搜索内容。该类别搜索内容是指对书籍类别发起搜索的搜索内容，书籍搜索内容是指对某一具体书籍发起搜索的搜索内容。在一示例中，服务器中预先存储了书籍名称列表和书籍类别列表。服务器将目标搜索内容对应的关键词及关键词的相似词，分别与书籍名称列表和书籍类别列表中的内容进行匹配。如果与书籍名称列表匹配成功，则确定目标搜索内容为书籍搜索内容，且具体为匹配成功的书 籍名称。如果与书籍类别列表匹配成功，则确定目标搜索内容为类别搜索内容，且具体为匹配成功的书籍类别名称。在另一示例中，服务器中预先存储了训练好的机器学习模型。服务器将目标搜索内容输入该训练好的机器学习模型，通过模型计算，可输出目标搜索内容属于类别搜索内容或书籍搜索内容。在又一示例中，服务器中可同时存储上述书籍名称列表、上述书籍类别列表和上述训练好的机器学习模型。服务器先将目标搜索内容与书籍名称列表和书籍类别列表进行匹配。如果匹配成功，则按照上述第一示例进行处理。如果匹配失败，则按照上述第二示例进行处理。
然后，服务器对识别出的类别搜索内容或书籍搜索内容进行搜索，以确定出目标搜索内容对应的综合搜索结果、与目标搜索内容相关联的多个推荐书籍类别、以及每个推荐书籍类别下包含的至少一个书籍的书籍信息。之后，服务器将综合搜索结果、多个推荐书籍类别及其对应的书籍信息反馈至电子设备。
S120、获取与目标搜索内容相关的多个推荐书籍类别，以及各推荐书籍类别对应的书籍信息。
本公开实施例中，推荐书籍类别是指与目标搜索内容具有相关性、且向用户进行推荐显示的书籍类别。在一些实施例中，推荐书籍类别为一级书籍类别或二级书籍类别。一级书籍类别和二级书籍类别分别是指书籍分类体系中属于上下级别关系的书籍类别，例如分别可以是书籍分类体系中的大类和大类下的细分类。该书籍分类体系可以是相关技术中的已有分类体系，也可以是对书籍和经过用户授权的书籍相关行为数据进行挖掘而得到的新兴分类体系。在该示例中，推荐书籍类别可以是一级书籍类别，也可以是二级书籍类别。即服务器反馈的多个推荐书籍类别不限书籍类别的级别，只要其与目标搜索内容具有相关性即可。
书籍信息是指对书籍进行描述的相关信息。在一示例中，书籍信息包括书籍标识，该书籍标识包括书籍图片和/或书籍名称。在另一示 例中，书籍信息包括书籍标识和书籍交互信息。该书籍交互信息包括用户对书籍的评论、点赞次数、评分、分享次数等等。这样可以为用户选择书籍提供更多维度的参考信息，从而提高用户筛选书籍的效率。
具体地，相关技术中所能提供的书籍筛选与搜索的书籍类别是预先设置的固定类别，例如展示已有的书籍分类体系中的各级书籍类别。该情况下所展示的各书籍类别与用户输入的目标搜索内容无关，即无论用户输入什么搜索内容，其展示的书籍类别都是一样的。这样虽然显示了多个书籍类别供用户进行书籍筛选，但是还需要用户理解各书籍类别并反复尝试选择书籍类别才有可能筛选到其需求的书籍，同样会导致书籍搜索效率低下的问题，此时所显示的多个书籍类别反而起到干扰用户搜索的反作用，使得用户体验不佳。
基于上述情况，本公开实施例中，服务器进行搜索的过程中需要从诸多书籍类别中筛选出与目标搜索内容具有一定的相关性的至少两个书籍类别，作为推荐书籍类别以反馈至电子设备。这样，电子设备便可获得与目标搜索内容具有关联关系的多个推荐书籍类别，以及每个推荐书籍类别下包含的书籍的书籍信息。这样，不仅能够增加搜索结果页面中的信息含量，而且所获得的推荐书籍类别都是与用户输入的目标搜索内容相关的书籍类别，其一定程度上可反映用户的搜索需求，从而不会对用户造成搜索干扰，且能够为用户搜索提供引导，进而提高用户的书籍搜索效率，提升用户搜索体验。
S130、基于各推荐书籍类别和书籍信息生成书籍聚合卡片，并在搜索结果页面中展示书籍聚合卡片。
本公开实施例中，书籍聚合卡片是聚合了多种书籍相关信息的展示卡片。
具体地，电子设备根据接收到的各推荐书籍类别及其对应的书籍信息来生成书籍聚合卡片，以便能够集中显示各推荐书籍类别及其对应的书籍信息。然后，将该书籍聚合卡片显示在搜索结果页面中。
在一些实施例中，S130中在搜索结果页面中展示书籍聚合卡片包 括：在搜索结果页面的预设位置处展示书籍聚合卡片；在书籍聚合卡片中，以导航样式或列表样式显示各推荐书籍类别，并以第一预设样式显示各推荐书籍类别中的目标书籍类别、以第二预设样式显示各推荐书籍类别中的其他书籍类别，且显示目标书籍类别对应的书籍信息。
本公开实施例中，预设位置是预先确定的、搜索结果页面中的信息显示位置。第一预设样式和第二预设样式分别是预先设置的书籍类别所在控件的显示样式，并且第一预设样式和第二预设样式的显示效果不同。例如，第一预设样式的显示效果可以强于第二预设样式的显示效果，以达到突出按照第一预设样式显示的控件的目的。目标书籍类别是指命中的一个推荐书籍类别，例如可以是排列在特定位置(如第一个、中间位置等)的推荐书籍类别，也可以是目标搜索内容直接命中的推荐书籍类别。其他书籍类别是获取的各推荐书籍类别中除了目标书籍类别之外的推荐书籍类别。
具体地，电子设备在搜索结果页面的预设位置处展示上述书籍聚合卡片。在该书籍聚合卡片内部，首先以导航样式或列表样式、在书籍聚合卡片的侧边区域(如上侧边缘区域、下侧边缘区域、左侧边缘区域或右侧边缘区域等)中显示各推荐书籍类别。同时，为了突出目标书籍类别，电子设备以第一预设样式显示目标书籍类别，而以第二预设样式显示其他书籍类别。然后，在书籍聚合卡片的剩余区域中展示目标书籍类别对应的各书籍信息。
在一些实施例中，上述预设位置与目标搜索内容是类别搜索内容或书籍搜索内容有关。
在一示例中，当目标搜索内容为类别搜索内容时，搜索结果页面中首要显示/突出显示的便是书籍类别相关的搜索结果条目，而书籍聚合卡片中包含各推荐书籍类别。所以，该情况下，上述预设位置可以是邻接页面顶部的第一区域。那么，上述在搜索结果页面的预设位置处展示书籍聚合卡片包括：在搜索结果页面的第一区域中展示书籍聚合卡片。
参见图2，目标搜索内容为类别搜索内容“末世”。电子设备200中显示有搜索结果页面201，搜索结果页面201的第一区域202中显示有书籍聚合卡片“末世·相关分类”。在该书籍聚合卡片的上侧边缘显示有各推荐书籍类别203。并且，电子设备以文字和边框加粗的第一预设样式显示目标书籍类别“末世”，而以文字和边框均不加粗的第二预设样式显示各其他书籍类别“重生”、“幻想言情”、“科幻”和“现代言情”等。并且，电子设备在书籍聚合卡片的下半部分区域中显示目标书籍类别“末世”对应的多个书籍信息204。
如图2所示，在搜索结果页面中还可以显示目标书籍类别对应的讨论话题圈的相关信息，以向用户提供更多维度的书籍类别信息。
在另一示例中，在目标搜索内容为书籍搜索内容时，搜索结果页面中首要显示/突出显示的应是命中的书籍相关的搜索结果条目(即书籍搜索结果)。所以，该情况下，上述第一区域中会显示书籍搜索结果，而排列在该第一区域之后的紧邻的显示区域(即第二区域)中可显示书籍聚合卡片，即上述在搜索结果页面的预设位置处展示书籍聚合卡片包括：在搜索结果页面的第二区域中展示书籍聚合卡片。
参见图3，目标搜索内容为书籍搜索内容“文化**”。电子设备300中显示有搜索结果页面301，搜索结果页面301的第一区域302中显示有多条书籍搜索结果。而在第一区域302下方紧邻的第二区域303中显示有书籍聚合卡片“看《文化**》的也在看”。在该书籍聚合卡片的上侧边缘显示有各推荐书籍类别304。并且，电子设备以文字和边框加粗的第一预设样式显示目标书籍类别“文学小说”，而以文字和边框均不加粗的第二预设样式显示各其他书籍类别“同作者的书”和“诗歌散文”等。并且，电子设备在书籍聚合卡片的下半部分区域中显示目标书籍类别“文学小说”对应的多个书籍信息305。
在一些实施例中，在S130之后，该书籍搜索方法还包括：响应于对各推荐书籍类别中任一其他书籍类别的触发操作，以第一预设样式显示被触发的其他书籍类别、以第二预设样式显示未被触发的其他书 籍类别和目标书籍类别，且显示被触发的其他书籍类别对应的书籍信息。
具体地，电子设备响应于用户切换推荐书籍类别的操作，修改各推荐书籍类别的控件的显示样式，并同步切换显示下方的书籍信息。
例如，参见图2，如果用户对其他书籍类别中的“幻想言情”进行点击触发，那么电子设备响应于该点击触发操作，会同步切换书籍聚合卡片中的显示内容和显示样式，其显示效果如图4所示。参见图4，对于目标搜索内容为类别搜索内容“末世”，电子设备400在搜索结果页面401的第一区域402中仍然显示书籍聚合卡片“末世·相关分类”，且在该书籍聚合卡片的上侧边缘仍显示有相同的各推荐书籍类别403。但是，电子设备以文字和边框加粗的第一预设样式显示被触发的其他书籍类别“幻想言情”，而以文字和边框均不加粗的第二预设样式显示之前的目标书籍类别“末世”和各其他书籍类别“重生”、“科幻”和“现代言情”等。并且，电子设备在书籍聚合卡片的下半部分区域中显示被触发的其他书籍类别“幻想言情”对应的多个书籍信息404。
本公开实施例提供的上述书籍搜索方法，能够获取与用户输入的目标搜索内容相关的多个推荐书籍类别以及每个推荐书籍类别对应的书籍信息，并基于各推荐书籍类别和书籍信息生成书籍聚合卡片，且在搜索结果页面中展示书籍聚合卡片；使得用户无需反复进行书籍搜索操作和搜索结果筛选操作，便可直接在搜索结果页面中查看与目标搜索内容相关联的多个推荐书籍类别以及每个推荐书籍类别下属的书籍信息，降低了用户搜索成本，简化了书籍搜索流程，提高了书籍搜索效率。
在一些实施例中，推荐书籍类别基于第一书籍类别、第二书籍类别和第三书籍类别中的至少一个确定。
本公开实施例中，第一书籍类别包括目标搜索内容对应的关键词所属的书籍类别。即第一书籍类别是目标搜索内容直接命中的书籍类别。
在一示例中，在目标搜索内容为类别搜索内容的情况下，第一书籍类别包括与类别搜索内容包含的关键词匹配的书籍类别。当目标搜索内容为类别搜索内容时，服务器会从类别搜索内容中提取出关键词，并利用该关键词进行书籍类别的匹配(可参见S110的说明)，得到一个匹配度最高的书籍类别，作为第一书籍类别。
在另一示例中，在目标搜索内容为书籍搜索内容的情况下，第一书籍类别包括书籍搜索内容命中的目标书籍对应的类别关键词所属的书籍类别、和/或目标书籍的书籍属性对应的书籍类别。其中，书籍属性包括作者、书籍内容对应的年代或事件背景、书籍篇幅和书籍状态中的至少一个。该书籍状态可以包含书籍是否完结的书籍完成状态、书籍是否名著的书籍知名度状态等。在目标搜索内容为书籍搜索内容时，服务器会先从书籍搜索内容中提取出关键词，并根据该关键词来匹配目标书籍。然后，从目标书籍携带的类别关键词(或称类别标签)中确定该目标书籍对应的书籍类别，作为第一书籍类别。另外，服务器还可以根据目标书籍的属性信息来挖掘书籍类别。例如，将目标书籍的作者确定为一个作者类别、将目标书籍的书籍内容所描述的年代或事件背景等确定为一个年代类别、将目标书籍的书籍篇幅长度确定为一个篇幅类别、将书籍是否完结的书籍完成状态、书籍是否名著的书籍知名度状态等确定为一个书籍状态类别等。这样，服务器根据目标书籍便可确定出至少一个第一书籍类别，并且各第一书籍类别均与目标搜索内容具有一定的关联性，均可用于实现基于目标书籍的相关书籍类别的搜索消费。
本公开实施例中，第二书籍类别包括与第一书籍类别对应的书籍的重叠度达到预设阈值的书籍类别。服务器在挖掘第二书籍类别时，是从各书籍类别下包含的书籍的重叠度角度进行处理的。例如，第一书籍类别下包含了34本书籍，某一书籍类别下包含了50本书籍，这些书籍之间有的是重叠的，那么重叠的书籍的数量或重叠的书籍在第一书籍类别下包含的书籍中的占比可定义为书籍的重叠度。由此可以 理解，书籍的重叠度越高，两个书籍类别之间的相关性越高。服务器可计算每个书籍类别与第一书籍类别之间的书籍的重叠度，并将书籍的重叠度达到预先设置的重叠度的临界值(即预设阈值)的书籍类别确定为第二书籍类别。根据上述说明，该第二书籍类别与第一书籍类别之间具有一定的相关性，故该第二书籍类别也与目标搜索内容具有相关性，也可用于实现基于目标书籍的相关书籍类别的搜索消费。
本公开实施例中，第三书籍类别包括从目标搜索内容对应的书籍交互行为数据中提取的书籍类别。该书籍交互行为数据是经过用户授权的、进行书籍相关操作(如搜索、阅读、评论、分享、点赞等等)的用户行为数据。示例性地，书籍交互行为数据包括连续触发的类别搜索内容命中的书籍类别、连续触发的书籍搜索内容命中的书籍和已阅读书籍中的至少一种。上述连续触发的类别搜索内容命中的书籍类别是指连续多次书籍搜索行为中用户输入的类别搜索内容命中的书籍类别。例如，某一用户或某一些用户搜索了“末世”的前后连续多次书籍搜索中输入的类别搜索内容命中的第一书籍类别。上述连续触发的书籍搜索内容命中的书籍是指连续多次书籍搜索行为中，用户输入的书籍搜索内容命中的书籍对应的第一书籍类别。例如，用户搜索了“文化**”书籍的前后连续多次书籍搜索中输入的书籍搜索内容命中的第一书籍类别。上述已阅读书籍是指诸多用户历史阅读过的书籍对应的第一书籍类别。例如，用户阅读了“文化**”书籍的一段时间内还阅读了哪些书籍，这些已阅读书籍对应的第一书籍类别。服务器可获取一定时间内的、经过用户授权的书籍交互行为数据，然后按照上述过程对获取的书籍交互行为数据进行书籍类别提取，便可得到第三书籍类别。因为书籍交互行为数据可一定程度上反映用户进行目标搜索内容的搜索诉求，故上述过程所得的第三书籍类别也是与目标搜索内容相关联的，也可用于实现基于目标书籍的相关书籍类别的搜索消费。
具体地，根据上述说明，第一书籍类别、第二书籍类别和第三书 籍类别均是与目标搜索内容具有相关性的书籍类别，故服务器在对目标搜索内容进行搜索的过程中，可以通过上述说明中的书籍类别挖掘方式，从诸多书籍类别中获得第一书籍类别、第二书籍类别和第三书籍类别，并将第一书籍类别、第二书籍类别和第三书籍类别中的至少一个确定为推荐书籍类别。
在一些实施例中，书籍聚合卡片中的各推荐书籍类别基于类别相关度排序。
具体地，为了进一步提高用户的书籍搜索效率，本公开实施例中可按照类别相关度对各推荐书籍类别进行排序，以将与目标搜索内容之间的相关度越高的推荐书籍类别排列在越靠前的位置。
本公开实施例中，上述类别相关度基于各推荐书籍类别的搜索频次、目标书籍类别与各其他书籍类别之间的书籍的重叠度、以及各推荐书籍类别之间的关联搜索紧密度中的至少一项确定。
上述各推荐书籍类别的搜索频次是指上述书籍交互行为数据中每个推荐书籍类别被作为类别搜索内容发起书籍搜索的次数或频率。搜索频次越高，推荐书籍类别的用户关注度越高，其与目标搜索内容之间的类别相关度越高。
上述目标书籍类别与各其他书籍类别之间的书籍的重叠度是指每个其他书籍类别与目标书籍类别之间的书籍的重叠度。因为目标书籍类别是目标搜索内容直接命中的书籍类别，所以，目标书籍类别与目标搜索内容的相关度最高，而其他书籍类别与目标书籍类别的书籍的重叠度越高，该其他书籍类别与目标搜索内容的类别相关度也越高。
上述各推荐书籍类别之间的关联搜索紧密度是指上述书籍交互行为数据中，任两个推荐书籍类别被作为前后连续搜索的搜索内容的次数或占比。例如，对于目标推荐书籍类别和某一其他推荐书籍类别，上述书籍交互行为数据中在搜索了目标推荐书籍类别后，紧接着搜索该其他推荐书籍类别的搜索次数或该搜索次数与总搜索次数的占比，便可作为目标推荐书籍类别和该其他推荐书籍类别之间的关联搜索紧 密度。由此可知，关联搜索紧密度越高，说明对应的两个推荐书籍类别之间的相关度越高。那么，服务器按照上述过程，可计算每个其他推荐书籍类别和目标书籍类别之间的关联搜索紧密度，根据这些关联搜索紧密度可得到每个推荐书籍类别与目标搜索内容之间的类别相关度。
具体地，服务器按照上述各种类别相关度的计算方式，可获得每个推荐书籍类别对应的三个维度的类别相关度。然后，服务器可以将上述搜索频次、上述书籍的重叠度和上述关联搜索紧密度中的任一项作为每个推荐书籍类别对应的类别相关度。或者，服务器可对上述搜索频次、上述书籍的重叠度和上述关联搜索紧密度中的任两项或三项进行加权计算，得到一个综合值，作为每个推荐书籍类别对应的类别相关度。
以下是本公开实施例提供的书籍搜索装置的实施例，该装置与上述各实施例的书籍搜索方法属于同一个发明构思，在书籍搜索装置的实施例中未详尽描述的细节内容，可以参考上述书籍搜索方法的实施例。
图5示出了本公开实施例提供的一种书籍搜索装置的结构示意图。如图5所示，该书籍搜索装置500可以包括：
搜索内容接收模块510，用于接收目标搜索内容；
推荐书籍类别获取模块520，用于获取与目标搜索内容相关的多个推荐书籍类别，以及各推荐书籍类别对应的书籍信息；
书籍聚合卡片展示模块530，用于基于各推荐书籍类别和书籍信息生成书籍聚合卡片，并在搜索结果页面中展示书籍聚合卡片。
本公开实施例提供的上述书籍搜索装置，能够获取与用户输入的目标搜索内容相关的多个推荐书籍类别以及每个推荐书籍类别对应的书籍信息，并基于各推荐书籍类别和书籍信息生成书籍聚合卡片，且在搜索结果页面中展示书籍聚合卡片；使得用户无需反复进行书籍搜索操作和搜索结果筛选操作，便可直接在搜索结果页面中查看与目标 搜索内容相关联的多个推荐书籍类别以及每个推荐书籍类别下属的书籍信息，降低了用户搜索成本，简化了书籍搜索流程，提高了书籍搜索效率。
在一些实施例中，书籍聚合卡片展示模块530包括：
书籍聚合卡片生成子模块，用于基于各推荐书籍类别和书籍信息生成书籍聚合卡片；
书籍聚合卡片展示子模块，用于在搜索结果页面的预设位置处展示书籍聚合卡片；在书籍聚合卡片中，以导航样式或列表样式显示各推荐书籍类别，并以第一预设样式显示各推荐书籍类别中的目标书籍类别、以第二预设样式显示各推荐书籍类别中的其他书籍类别，且显示目标书籍类别对应的书籍信息。
在一些实施例中，书籍聚合卡片展示子模块具体用于：
在目标搜索内容为类别搜索内容的情况下，在搜索结果页面的第一区域中展示书籍聚合卡片；其中，第一区域为邻接页面顶部的显示区域；
或者，在目标搜索内容为书籍搜索内容的情况下，在搜索结果页面的第二区域中展示书籍聚合卡片；其中，第二区域为排列在书籍搜索结果所在区域之后的、邻接的显示区域。
在一些实施例中，书籍搜索装置500还包括书籍类别切换模块，用于：
在基于各推荐书籍类别和书籍信息生成书籍聚合卡片，并在搜索结果页面中展示书籍聚合卡片之后，响应于对各推荐书籍类别中任一其他书籍类别的触发操作，以第一预设样式显示被触发的其他书籍类别、以第二预设样式显示未被触发的其他书籍类别和目标书籍类别，且显示被触发的其他书籍类别对应的书籍信息。
在一些实施例中，推荐书籍类别为一级书籍类别或二级书籍类别。
在一些实施例中，推荐书籍类别基于第一书籍类别、第二书籍类别和第三书籍类别中的至少一个确定；
其中，第一书籍类别包括目标搜索内容对应的关键词所属的书籍类别；第二书籍类别包括与第一书籍类别对应的书籍的重叠度达到预设阈值的书籍类别；第三书籍类别包括从目标搜索内容对应的书籍交互行为数据中提取的书籍类别。
在一些实施例中，在目标搜索内容为类别搜索内容的情况下，第一书籍类别包括与类别搜索内容包含的关键词匹配的书籍类别；
或者，在目标搜索内容为书籍搜索内容的情况下，第一书籍类别包括书籍搜索内容命中的目标书籍对应的类别关键词所属的书籍类别、和/或目标书籍的书籍属性对应的书籍类别；其中，书籍属性包括作者、书籍内容对应的年代或事件背景、书籍篇幅和书籍状态中的至少一介。
在一些实施例中，书籍交互行为数据包括连续触发的类别搜索内容命中的书籍类别、连续触发的书籍搜索内容命中的书籍和已阅读书籍中的至少一种。
在一些实施例中，书籍聚合卡片中的各推荐书籍类别基于类别相关度排序；
其中，类别相关度基于各推荐书籍类别的搜索频次、目标书籍类别与各其他书籍类别之间的书籍的重叠度、以及各推荐书籍类别之间的关联搜索紧密度中的至少一项确定；目标书籍类别为目标搜索内容命中的一个推荐书籍类别，其他书籍类别为除了目标书籍类别之外的推荐书籍类别。
在一些实施例中，书籍信息包括书籍标识；其中，书籍标识包括书籍图片和/或书籍名称；
或者，书籍信息包括书籍标识和书籍交互信息。
本公开实施例所提供的书籍搜索装置可执行本公开任意实施例所提供的书籍搜索方法，具备执行方法相应的功能模块和有益效果。
值得注意的是，上述书籍搜索装置的实施例中，所包括的各个模块、子模块只是按照功能逻辑进行划分的，但并不局限于上述的划分， 只要能够实现相应的功能即可；另外，各功能模块/子模块的具体名称也只是为了便于相互区分，并不用于限制本公开的保护范围。
本公开实施例还提供了一种电子设备，该电子设备可以包括处理器和存储器，存储器可以用于存储可执行指令。其中，处理器可以用于从存储器中读取可执行指令，并执行可执行指令以实现上述实施例中的书籍搜索方法。
图6示出了本公开实施例提供的一种电子设备的结构示意图。
如图6所示，该电子设备600可以包括处理装置(例如中央处理器、图形处理器等)601，其可以根据存储在只读存储器(ROM)602中的程序或者从存储装置608加载到随机访问存储器(RAM)603中的程序而执行各种适当的动作和处理。在RAM 603中，还存储有信息处理设备600操作所需的各种程序和数据。处理装置601、ROM 602以及RAM 603通过总线604彼此相连。输入/输出接口(I/O接口)605也连接至总线604。
通常，以下装置可以连接至I/O接口605：包括例如触摸屏、触摸板、键盘、鼠标、摄像头、麦克风、加速度计、陀螺仪等的输入装置606；包括例如液晶显示器(LCD)、扬声器、振动器等的输出装置607；包括例如磁带、硬盘等的存储装置608；以及通信装置609。通信装置609可以允许电子设备600与其他设备进行无线或有线通信以交换数据。
需要说明的是，图6示出的电子设备600仅仅是一个示例，不应对本公开实施例的功能和使用范围带来任何限制。即虽然图6示出了具有各种装置的电子设备600，但是应理解的是，并不要求实施或具备所有示出的装置。可以替代地实施或具备更多或更少的装置。
特别地，根据本公开的实施例，上文参考流程图描述的过程可以被实现为计算机软件程序。例如，本公开的实施例包括一种计算机程序产品，其包括承载在非暂态计算机可读介质上的计算机程序，该计算机程序包含用于执行流程图所示的方法的程序代码。在这样的实施 例中，该计算机程序可以通过通信装置609从网络上被下载和安装，或者从存储装置608被安装，或者从ROM 602被安装。在该计算机程序被处理装置601执行时，执行本公开任意实施例的书籍搜索方法中限定的上述功能。
本公开实施例还提供了一种计算机可读存储介质，该存储介质存储有计算机程序，当计算机程序被处理器执行时，使得处理器实现本公开任意实施例中的书籍搜索方法。
需要说明的是，本公开上述的计算机可读介质可以是计算机可读信号介质或者计算机可读存储介质或者是上述两者的任意组合。计算机可读存储介质例如可以是——但不限于——电、磁、光、电磁、红外线、或半导体的系统、装置或器件，或者任意以上的组合。计算机可读存储介质的更具体的例子可以包括但不限于：具有一个或多个导线的电连接、便携式计算机磁盘、硬盘、随机访问存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、光纤、便携式紧凑磁盘只读存储器(CD-ROM)、光存储器件、磁存储器件、或者上述的任意合适的组合。在本公开中，计算机可读存储介质可以是任何包含或存储程序的有形介质，该程序可以被指令执行系统、装置或者器件使用或者与其结合使用。而在本公开中，计算机可读信号介质可以包括在基带中或者作为载波一部分传播的数据信号，其中承载了计算机可读的程序代码。这种传播的数据信号可以采用多种形式，包括但不限于电磁信号、光信号或上述的任意合适的组合。计算机可读信号介质还可以是计算机可读存储介质以外的任何计算机可读介质，该计算机可读信号介质可以发送、传播或者传输用于由指令执行系统、装置或者器件使用或者与其结合使用的程序。计算机可读介质上包含的程序代码可以用任何适当的介质传输，包括但不限于：电线、光缆、RF(射频)等等，或者上述的任意合适的组合。
在一些实施方式中，客户端、服务器可以利用诸如HTTP之类的任何当前已知或未来研发的网络协议进行通信，并且可以与任意形式或介质的数字数据通信(例如，通信网络)互连。通信网络的示例包括局域网(“LAN”)，广域网(“WAN”)，网际网(例如，互联网)以 及端对端网络(例如，ad hoc端对端网络)，以及任何当前已知或未来研发的网络。
上述计算机可读介质可以是上述电子设备中所包含的；也可以是单独存在，而未装配入该电子设备中。
上述计算机可读介质承载有一个或者多个程序，当上述一个或者多个程序被该电子设备执行时，使得该电子设备执行本公开任意实施例所说明的书籍搜索方法的步骤。
在本公开实施例中，可以以一种或多种程序设计语言或其组合来编写用于执行本公开的操作的计算机程序代码，上述程序设计语言包括但不限于面向对象的程序设计语言-诸如Java、Smalltalk、C++，还包括常规的过程式程序设计语言-诸如“C”语言或类似的程序设计语言。程序代码可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络——包括局域网(LAN)或广域网(WAN)——连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特网连接)。
附图中的流程图和框图，图示了按照本公开各种实施例的设备、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段、或代码的一部分，该模块、程序段、或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
本文中以上描述的功能可以至少部分地由一个或多个硬件逻辑部件来执行。例如，非限制性地，可以使用的示范类型的硬件逻辑部件 包括：现场可编程门阵列(FPGA)、专用集成电路(ASIC)、专用标准产品(ASSP)、片上系统(SOC)、复杂可编程逻辑设备(CPLD)等等。
在本公开的上下文中，机器可读介质可以是有形的介质，其可以包含或存储以供指令执行系统、装置或设备使用或与指令执行系统、装置或设备结合地使用的程序。机器可读介质可以是机器可读信号介质或机器可读储存介质。机器可读介质可以包括但不限于电子的、磁性的、光学的、电磁的、红外的、或半导体系统、装置或设备，或者上述内容的任何合适组合。机器可读存储介质的更具体示例会包括基于一个或多个线的电气连接、便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM或快闪存储器)、光纤、便捷式紧凑盘只读存储器(CD-ROM)、光学储存设备、磁储存设备、或上述内容的任何合适组合。
以上描述仅为本公开的较佳实施例以及对所运用技术原理的说明。本领域技术人员应当理解，本公开中所涉及的公开范围，并不限于上述技术特征的特定组合而成的技术方案，同时也应涵盖在不脱离上述公开构思的情况下，由上述技术特征或其等同特征进行任意组合而形成的其它技术方案。例如上述特征与本公开中公开的(但不限于)具有类似功能的技术特征进行互相替换而形成的技术方案。
此外，虽然采用特定次序描绘了各操作，但是这不应当理解为要求这些操作以所示出的特定次序或以顺序次序执行来执行。在一定环境下，多任务和并行处理可能是有利的。同样地，虽然在上面论述中包含了若干具体实现细节，但是这些不应当被解释为对本公开的范围的限制。在单独的实施例的上下文中描述的某些特征还可以组合地实现在单个实施例中。相反地，在单个实施例的上下文中描述的各种特征也可以单独地或以任何合适的子组合的方式实现在多个实施例中。
尽管已经采用特定于结构特征和/或方法逻辑动作的语言描述了本主题，但是应当理解所附权利要求书中所限定的主题未必局限于上面描述的特定特征或动作。相反，上面所描述的特定特征和动作仅仅是实现权利要求书的示例形式。

Claims (13)

  1. 一种书籍搜索方法，其特征在于，包括：
    接收目标搜索内容；
    获取与所述目标搜索内容相关的多个推荐书籍类别，以及各所述推荐书籍类别对应的书籍信息；
    基于各所述推荐书籍类别和所述书籍信息生成书籍聚合卡片，并在搜索结果页面中展示所述书籍聚合卡片。
  2. 根据权利要求1所述的方法，其特征在于，所述在搜索结果页面中展示所述书籍聚合卡片包括：
    在所述搜索结果页面的预设位置处展示所述书籍聚合卡片；
    在所述书籍聚合卡片中，以导航样式或列表样式显示各所述推荐书籍类别，并以第一预设样式显示各所述推荐书籍类别中的目标书籍类别、以第二预设样式显示各所述推荐书籍类别中的其他书籍类别，且显示所述目标书籍类别对应的所述书籍信息。
  3. 根据权利要求2所述的方法，其特征在于，在所述目标搜索内容为类别搜索内容的情况下，所述在所述搜索结果页面的预设位置处展示所述书籍聚合卡片包括：
    在所述搜索结果页面的第一区域中展示所述书籍聚合卡片；其中，所述第一区域为邻接页面顶部的显示区域；
    或者，在所述目标搜索内容为书籍搜索内容的情况下，所述在所述搜索结果页面的预设位置处展示所述书籍聚合卡片包括：
    在所述搜索结果页面的第二区域中展示所述书籍聚合卡片；其中，所述第二区域为排列在书籍搜索结果所在区域之后的、邻接的显示区域。
  4. 根据权利要求2所述的方法，其特征在于，在所述基于各所述推荐书籍类别和所述书籍信息生成书籍聚合卡片，并在搜索结果页面中展示所述书籍聚合卡片之后，所述方法还包括：
    响应于对各所述推荐书籍类别中任一其他书籍类别的触发操作，以所述第一预设样式显示被触发的所述其他书籍类别、以所述第二预设样式显示未被触发的所述其他书籍类别和所述目标书籍类别，且显示所述被触发的所述其他书籍类别对应的所述书籍信息。
  5. 根据权利要求1所述的方法，其特征在于，所述推荐书籍类别为一级书籍类别或二级书籍类别。
  6. 根据权利要求1所述的方法，其特征在于，所述推荐书籍类别基于第一书籍类别、第二书籍类别和第三书籍类别中的至少一个确定；
    其中，所述第一书籍类别包括所述目标搜索内容对应的关键词所属的书籍类别；所述第二书籍类别包括与所述第一书籍类别对应的书籍的重叠度达到预设阈值的书籍类别；所述第三书籍类别包括从所述目标搜索内容对应的书籍交互行为数据中提取的书籍类别。
  7. 根据权利要求6所述的方法，其特征在于，在所述目标搜索内容为类别搜索内容的情况下，所述第一书籍类别包括与所述类别搜索内容包含的关键词匹配的书籍类别；
    或者，在所述目标搜索内容为书籍搜索内容的情况下，所述第一书籍类别包括所述书籍搜索内容命中的目标书籍对应的类别关键词所属的书籍类别、和/或所述目标书籍的书籍属性对应的书籍类别；其中，所述书籍属性包括作者、书籍内容对应的年代或事件背景、书籍篇幅和书籍状态中的至少一个。
  8. 根据权利要求6所述的方法，其特征在于，所述书籍交互行为数据包括连续触发的类别搜索内容命中的书籍类别、连续触发的书籍搜索内容命中的书籍和已阅读书籍中的至少一种。
  9. 根据权利要求1所述的方法，其特征在于，所述书籍聚合卡片中的各所述推荐书籍类别基于类别相关度排序；
    其中，所述类别相关度基于各所述推荐书籍类别的搜索频次、目标书籍类别与各其他书籍类别之间的书籍的重叠度、以及各所述推荐书籍类别之间的关联搜索紧密度中的至少一项确定；所述目标书籍类 别为所述目标搜索内容命中的一个所述推荐书籍类别，所述其他书籍类别为除了所述目标书籍类别之外的所述推荐书籍类别。
  10. 根据权利要求1所述的方法，其特征在于，所述书籍信息包括书籍标识；其中，所述书籍标识包括书籍图片和/或书籍名称；
    或者，所述书籍信息包括所述书籍标识和书籍交互信息。
  11. 一种书籍搜索装置，其特征在于，包括：
    搜索内容接收模块，用于接收目标搜索内容；
    推荐书籍类别获取模块，用于获取与所述目标搜索内容相关的多个推荐书籍类别，以及各所述推荐书籍类别对应的书籍信息；
    书籍聚合卡片展示模块，用于基于各所述推荐书籍类别和所述书籍信息生成书籍聚合卡片，并在搜索结果页面中展示所述书籍聚合卡片。
  12. 一种电子设备，其特征在于，包括：
    处理器；
    存储器，用于存储可执行指令；
    其中，所述处理器用于从所述存储器中读取所述可执行指令，并执行所述可执行指令以实现上述权利要求1-10中任一项所述的书籍搜索方法。
  13. 一种计算机可读存储介质，其特征在于，所述存储介质存储有计算机程序，当所述计算机程序被处理器执行时，使得处理器实现上述权利要求1-10中任一项所述的书籍搜索方法。
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