CN111444356A

CN111444356A - Search-based recommendation method and device

Info

Publication number: CN111444356A
Application number: CN202010165085.4A
Authority: CN
Inventors: 彭睿棋
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2020-03-11
Filing date: 2020-03-11
Publication date: 2020-07-24
Anticipated expiration: 2040-03-11
Also published as: CN111444356B

Abstract

A recommendation method and device based on search are provided. The search-based recommendation method comprises the following steps: displaying a multimedia search result obtained based on the search request; responding to a triggering operation of a user for any multimedia content in the multimedia search result, and acquiring at least one recommended content corresponding to the triggered multimedia content; and displaying the at least one recommended content at a preset position of the multimedia search result page. The recommendation method based on search recommends the keywords for searching based on the multimedia content triggered by the user, shortens the search path of the user, improves the search efficiency, better meets the search requirements of the user, and further improves the search experience of the user.

Description

Search-based recommendation method and device

Technical Field

The present disclosure relates to the field of computer technology. More particularly, the present disclosure relates to a search-based recommendation method and apparatus.

Background

Small video information is a new form of content that has emerged in recent years. When a user browses contents in a small video search result, the contents which the user wants to search cannot be expressed accurately, so that the contents which the user wants to browse are not contained in the search result. Therefore, the user needs to continuously change the keywords in the search box for searching for a long time, that is, the search path of the user is long, the search efficiency is low, and the search requirement of the user cannot be met.

Disclosure of Invention

An exemplary embodiment of the present disclosure is to provide a recommendation method and apparatus based on search, so as to improve the accuracy of recommendation based on search, and further improve the search efficiency of a user.

According to an exemplary embodiment of the present disclosure, there is provided a search-based recommendation method including: displaying a multimedia search result obtained based on the search request; responding to a triggering operation of a user for any multimedia content in the multimedia search result, and acquiring at least one recommended content corresponding to the triggered multimedia content; and displaying the at least one recommended content at a preset position of the multimedia search result page.

Optionally, the step of presenting the at least one recommended content at a predetermined position of the multimedia search result page may include: and replacing the triggered multimedia content with the at least one recommended content for presentation, or presenting the at least one recommended content at a position adjacent to the triggered multimedia content.

Optionally, the recommended content may include a recommended word and multimedia content corresponding to the recommended word, and the multimedia content is obtained based on a search result corresponding to the recommended word.

According to an exemplary embodiment of the present disclosure, there is provided a search-based recommendation method including: acquiring multimedia content triggered by a user in a multimedia search result; and selecting at least one recommended content for presentation from an association relation database based on the search request and the triggered multimedia content, wherein the association relation database at least comprises a first association relation among the keywords and a second association relation between the multimedia content and the keywords.

Optionally, the search-based recommendation method may further include: determining a first incidence relation among the keywords and a second incidence relation between the multimedia content and the keywords based on the historical behavior information of the user, wherein the historical behavior information of the user comprises a search request in a past preset time period, the search time of the keywords, the search sequence of the keywords and the trigger information of the multimedia content in a multimedia search result; and establishing an association relation database according to the first association relation and the second association relation.

Optionally, the step of determining the first association relationship between the keywords may include at least one of the following steps: determining that incidence relations exist among a plurality of keywords of which the contact degrees of the search results exceed a threshold value, and determining the incidence relations as the first incidence relations; determining that an association relationship exists among a plurality of keywords of which the search time difference is smaller than a preset time difference, and determining the association relationship as the first association relationship; determining that an association relationship exists among a plurality of keywords of which the search sequence difference is smaller than a preset sequence difference, and determining the association relationship as the first association relationship; determining that an incidence relation exists between a keyword of triggered multimedia content recorded in the user historical behavior information within a preset time period after the historical search request and the keyword of the historical search request, and determining the incidence relation as the first incidence relation.

Optionally, the step of determining a second association relationship of the multimedia content with the keyword may comprise at least one of the following steps: when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, determining that an association relationship exists between the triggered multimedia content and the keywords of the historical search request, and determining the association relationship as the second association relationship; when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, determining that an incidence relation exists between the triggered multimedia content and a keyword which has an incidence relation with the keyword of the historical search request, and determining the incidence relation as the second incidence relation; when the keywords of the triggered multimedia content are acquired through voice recognition and/or image recognition, determining that the triggered multimedia content has an association relation with the acquired keywords, and determining the association relation as the second association relation.

Optionally, the step of selecting at least one recommended content for presentation from an association database based on the search request and the triggered multimedia content may include: acquiring the keywords of the search request and the keywords of the triggered multimedia content; selecting at least one recommended word for presentation from an association database based on the keywords of the search request, the triggered multimedia content, and the keywords of the triggered multimedia content.

Optionally, the step of obtaining the keywords of the search request and the keywords of the triggered multimedia content may include at least one of the following steps: acquiring keywords of the triggered multimedia content by performing voice recognition and/or image recognition on the triggered multimedia content; and acquiring the keywords of the triggered multimedia content from an association relation database.

Optionally, the search-based recommendation method may further include: determining at least one multimedia content corresponding to the at least one recommended word.

Optionally, the search-based recommendation method may further include: and updating the association relation database according to the keywords of the search request, the triggered multimedia content and the triggered recommended content.

According to an exemplary embodiment of the present disclosure, there is provided a search-based recommendation apparatus including: a multimedia presentation unit configured to present a multimedia search result obtained based on the search request; a recommended content obtaining unit configured to obtain at least one recommended content corresponding to any multimedia content in the multimedia search results in response to a user's trigger operation for the triggered multimedia content; and a recommended content presentation unit configured to present the at least one recommended content at a predetermined position of the multimedia search result page.

Alternatively, the recommended content acquiring unit may be configured to: and replacing the triggered multimedia content with the at least one recommended content for presentation, or presenting the at least one recommended content at a position adjacent to the triggered multimedia content.

According to an exemplary embodiment of the present disclosure, there is provided a search-based recommendation apparatus including: a trigger content acquisition unit configured to acquire multimedia content triggered by a user in a multimedia search result; and the recommended content selecting unit is configured to select at least one recommended content for presentation from an association relation database based on the search request and the triggered multimedia content, wherein the association relation database at least comprises a first association relation among the keywords and a second association relation between the multimedia content and the keywords.

Optionally, the search-based recommendation apparatus may further include: the relation determining unit is configured to determine a first incidence relation among the keywords and a second incidence relation among the multimedia contents and the keywords based on user historical behavior information, wherein the user historical behavior information comprises search requests in a past preset time period, search time of the keywords, search sequence of the keywords and trigger information of the multimedia contents in a multimedia search result; and a database establishing unit configured to establish an association database according to the first association relation and the second association relation.

Optionally, the relationship determination unit may include at least one of: a first determination unit configured to determine that there is an association relationship between a plurality of keywords of which the degree of coincidence of the search results exceeds a threshold value, and determine the association relationship as the first association relationship; a second determining unit configured to determine that an association relationship exists between a plurality of keywords of which search time difference values are smaller than a preset time difference value, and determine the association relationship as the first association relationship; a third determining unit configured to determine that there is an association relationship between a plurality of keywords whose search order difference is smaller than a preset order difference, and determine the association relationship as the first association relationship; and a fourth determining unit configured to determine that an association relationship exists between the keyword of the triggered multimedia content recorded in the user historical behavior information within a preset time period after the historical search request and the keyword of the historical search request, and determine the association relationship as the first association relationship.

Optionally, the relationship determination unit may include at least one of: a fifth determining unit, configured to determine that an association relationship exists between the triggered multimedia content and the keyword of the historical search request when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, and determine the association relationship as the second association relationship; a sixth determining unit, configured to determine that an association relationship exists between the triggered multimedia content and a keyword having an association relationship with the keyword of the historical search request when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, and determine the association relationship as the second association relationship; and a seventh determining unit configured to determine that there is an association between the triggered multimedia content and the acquired keyword when the keyword of the triggered multimedia content is acquired through voice recognition and/or image recognition, and determine the association as the second association.

Alternatively, the recommended content selecting unit may be configured to: acquiring the keywords of the search request and the keywords of the triggered multimedia content; selecting at least one recommended word for presentation from an association database based on the keywords of the search request, the triggered multimedia content, and the keywords of the triggered multimedia content.

Optionally, the recommended content selecting unit may be further configured to: and acquiring the keywords of the triggered multimedia content by performing voice recognition and/or image recognition on the triggered multimedia content, or acquiring the keywords of the triggered multimedia content from an association relation database.

Optionally, the recommended content selecting unit may be further configured to: determining at least one multimedia content corresponding to the at least one recommended word.

Optionally, the search-based recommendation apparatus may further include a database updating unit configured to: and updating the association relation database according to the keywords of the search request, the triggered multimedia content and the triggered recommended content.

According to an exemplary embodiment of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a search-based recommendation method according to an exemplary embodiment of the present disclosure.

According to an exemplary embodiment of the present disclosure, there is provided an electronic apparatus including: a processing device; a storage device storing a computer program that, when executed by a processor, implements a search-based recommendation method according to an exemplary embodiment of the present disclosure.

According to the search-based recommendation method and device provided by the exemplary embodiment of the disclosure, a multimedia search result obtained based on a search request is firstly displayed, at least one recommended content corresponding to a triggered multimedia content is obtained in response to a triggering operation of a user on any multimedia content in the multimedia search result, and then the at least one recommended content is displayed at a preset position of a multimedia search result page, so that recommendation is performed based on the multimedia content accessed by the user, a search path of the user is shortened, the search efficiency is improved, the search requirement of the user on the multimedia content is better met, and the search experience of the user is further improved.

Additional aspects and/or advantages of the present general inventive concept will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the general inventive concept.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

FIG. 1 shows a flowchart of a search based recommendation method according to an example embodiment of the present disclosure;

fig. 2 illustrates an example of presentation of multimedia content that is triggered instead of recommended content;

FIG. 3 shows an example of presenting recommended content in a vicinity of triggered multimedia content;

FIG. 4 shows a flowchart of a search based recommendation method according to an example embodiment of the present disclosure;

FIG. 5 shows a block diagram of a search based recommendation device, according to an example embodiment of the present disclosure;

FIG. 6 shows a block diagram of a search based recommendation device, according to an example embodiment of the present disclosure;

FIG. 7 illustrates a schematic structural diagram of an electronic device 700 suitable for use in implementing exemplary embodiments of the present disclosure; and

fig. 8 illustrates an exemplary view of an application scenario of a search-based recommendation method according to an exemplary embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "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"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

Fig. 1 illustrates a flowchart of a search-based recommendation method according to an exemplary embodiment of the present disclosure. The method in fig. 1 may be applied to, for example, but not limited to, an electronic apparatus such as a mobile phone, a smartphone, a notebook computer, a PDA (personal digital assistant), a PAD (tablet), a desktop computer, a wearable device, a robot, an internet of things terminal, and the like, which may be used for searching.

Referring to fig. 1, in step S101, a multimedia search result obtained based on a search request is presented.

Specifically, when a user requests a search according to an input keyword, the searched multimedia search result is output, so that the user selects multimedia content from the search result of the search request to access. For example, when the keyword input by the user is "car", the small video search results presented include small videos about honda, keshie, back drive, front drive, tires, and the like.

In step S102, in response to a triggering operation of the user for any multimedia content in the multimedia search result, at least one recommended content corresponding to the triggered multimedia content is acquired. The multimedia content may be, for example, but not limited to, a small video, a video, an audio, and the like.

In an exemplary embodiment of the present disclosure, the recommended content may include recommended words and multimedia content corresponding to the recommended words. In an exemplary embodiment of the present disclosure, the multimedia content is obtained based on a search result corresponding to the recommended word. The multimedia content may be, for example, but not limited to, pictures, images, video, small videos, audio, and the like.

Specifically, after the searched multimedia search results are presented, the user can select to access any multimedia content in the searched multimedia search results in a triggering manner such as clicking, touching and the like from the presented multimedia search results, when the user clicks a certain multimedia content in the multimedia search results, the multimedia content is usually the content which is interested by the user, therefore, the recommended word corresponding to the multimedia content is usually the keyword and the multimedia content corresponding to the keyword which are wanted to be used for continuing the search after the page corresponding to the user multimedia content returns to the search results page.

In step S103, the at least one recommended content is presented at a predetermined location of the multimedia search result page.

In an exemplary embodiment of the present disclosure, when the at least one recommended content is presented at a predetermined position of the multimedia search result page, the triggered multimedia content may be presented instead of the at least one recommended content, or the at least one recommended content may be presented at a position adjacent to the triggered multimedia content. In particular, the at least one multimedia content may be output based on a location in the page of the multimedia content accessed by the user.

When the user selects the displayed recommended word or the picture corresponding to the recommended word in a triggering mode such as clicking, touching and the like), a new search request is initiated by taking the recommended word as a keyword.

In an exemplary embodiment of the present disclosure, the keyword of the triggered multimedia content may be first determined based on at least one of the name, the tag, the summary information, the voice feature, the image feature, and the like of the triggered multimedia content, and then the recommended content presented to the user may be determined based on the keyword of the search request, the triggered multimedia content, and the keyword of the triggered multimedia content, thereby improving the accuracy of the recommended content.

Fig. 2 shows an example of displaying a multimedia content triggered instead of a recommended content fig. 3 shows an example of displaying a recommended content at a position adjacent to the triggered multimedia content fig. 2 replaces the triggered small video for the "honda field collision test" with recommended words and corresponding pictures of "ford field city, pet × 5 new quote", "gallop c series new vehicle type", and "bmw car test drive" in fig. 3 shows recommended words and corresponding pictures of "ford field city, pet × 5 new quote", "gallop c series new vehicle type", and "bmw car test drive" below the position of the triggered small video for the "honda field collision test" in the page.

Fig. 4 illustrates a flowchart of a search based recommendation method according to an exemplary embodiment of the present disclosure. The method of FIG. 4 may be applied to, for example, but not limited to, an electronic device such as a local server, a remote server, a device with server functionality, and the like

Referring to fig. 4, in step S401, multimedia content triggered by a user in a multimedia search result is acquired.

And when the user requests to search according to the input keyword, outputting the searched multimedia search result so that the user selects the multimedia content from the search result of the search request to access. After the searched multimedia search results are output, the user can select to access any multimedia content in the searched multimedia search results from the presented multimedia search results in a triggering mode such as clicking, touching and the like. When a user clicks one of the multimedia contents in the multimedia search result, the user enters a page corresponding to the multimedia content, which is usually the content in which the user is interested. Therefore, the recommended word corresponding to the multimedia content is usually a keyword that the user wants to use for searching.

In an exemplary embodiment of the disclosure, before obtaining the multimedia content triggered by the user from the multimedia search result of the search request, first, based on the user historical behavior information (for example, but not limited to, the user behavior information within a time period of 1 month, 2 months, 6 months, etc.), a first association relationship between the keywords and a second association relationship between the multimedia content and the keywords may be determined, and then, an association relationship database may be established according to the first association relationship and the second association relationship. Here, the user historical behavior information may include a search request within a past predetermined period of time, a search time of a keyword, a search order of the keyword, trigger information of multimedia content in a multimedia search result, and the like.

In an exemplary embodiment of the present disclosure, at least one of the following steps may be performed when determining the association relationship between keywords (for clarity of description, the association relationship between keywords is made a first association relationship): determining that an association relationship exists between a plurality of keywords of which the contact degrees of the search results exceed a threshold (such as, but not limited to, 30%, 40%, 50%, 60%, and the like), and determining the association relationship as a first association relationship; determining that an association relationship exists among a plurality of keywords of which the search time difference is smaller than a preset time difference (for example, but not limited to, 1 minute, 2 minutes, 5 minutes, 10 minutes, 15 minutes, etc.), and determining the association relationship as a first association relationship; determining that an association relationship exists among a plurality of keywords of which the search order difference is smaller than a preset order difference (for example, but not limited to, 5, 10, 15, and the like), and determining the association relationship as a first association relationship; and determining that the incidence relation exists between the triggered keywords of the multimedia content recorded in the historical behavior information of the user in the preset time period after the historical search request and the keywords of the historical search request, and determining the incidence relation as a first incidence relation, thereby improving the accuracy of the incidence relation.

Specifically, when determining the first association relationship between the keywords, one of the following four methods may be used to determine whether two or more keywords are associated, or multiple methods of the four methods may be used to determine the association relationship at the same time, and the embodiments of the present disclosure are not limited thereto, and other similar methods may also be used to determine the association relationship.

First, when the search results of the first keyword and the second keyword are the same or the degree of overlap exceeds, for example, but not limited to, 50%, the first keyword and the second keyword are determined to be two associated keywords.

First, when a large number of users perform a search using a first keyword and then perform a search using a second keyword within, for example, 10 minutes, it is determined that the first keyword and the second keyword are two keywords associated with each other.

Thirdly, after a large number of users search by using the first keyword, the second keyword, the third keyword and the fourth keyword are used for searching, and the incidence relation between the first keyword and the second keyword, the third keyword and the fourth keyword is determined.

Fourthly, keywords of the triggered multimedia contents are acquired by performing voice recognition and/or image recognition on the triggered multimedia contents.

In an exemplary embodiment of the present disclosure, when determining the association relationship of the multimedia content and the keyword (for clarity of description, the association relationship of the multimedia content and the keyword is referred to as a second association relationship), at least one of the following steps may be performed: when the triggering time of the triggered multimedia content is within a preset time period (for example, but not limited to, 1 minute, 2 minutes, 5 minutes, 10 minutes, 15 minutes, etc.) after the history search request, determining that an association relationship exists between the triggered multimedia content and the keyword of the history search request, and determining the association relationship as a second association relationship; when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, determining that an incidence relation exists between the triggered multimedia content and a keyword which has an incidence relation with the keyword of the historical search request, and determining the incidence relation as a second incidence relation; when the keywords of the triggered multimedia content are acquired through voice recognition and/or image recognition, the incidence relation between the triggered multimedia content and the acquired keywords is determined, and the incidence relation is determined to be a second incidence relation, so that the accuracy of the incidence relation is improved.

At step S402, at least one recommended content is selected for presentation from the association database based on the search request and the triggered multimedia content. Here, the association relation database includes at least a first association relation between the keywords and a second association relation between the multimedia content and the keywords.

In an exemplary embodiment of the present disclosure, when at least one recommended content for presentation is selected from the association database based on the search request and the triggered multimedia content, a keyword of the search request and a keyword of the triggered multimedia content may be first acquired, and then at least one recommended word for presentation may be selected from the association database based on the keyword of the search request, the triggered multimedia content, and the keyword of the triggered multimedia content.

In an exemplary embodiment of the present disclosure, when the keyword of the search request and the keyword of the triggered multimedia content are obtained, the keyword of the triggered multimedia content may be obtained by performing voice recognition and/or image recognition on the triggered multimedia content, and the keyword of the triggered multimedia content may also be obtained from an association database, so as to improve the accuracy of the recommended content. For example, when the triggered multimedia content includes a sound of an object a (e.g., a person or a machine that can make a sound) and an image of an object B (a person or an object), the object a and the object B may be used as keywords of the triggered multimedia content, thereby improving the accuracy of the keywords. Then, when at least one recommended word for presentation is selected from the association relation database, the recommended words related to the object a and the object B can be selected, thereby improving the accuracy of the recommended words. Here, the object a and the object B may be the same object or different objects, which is not limited by the present disclosure. In addition, the keywords of the triggered multimedia content can be extracted from the attribute information such as the name, the tag, the summary information, etc. of the triggered multimedia content.

In an exemplary embodiment of the present disclosure, after at least one recommended word for presentation is selected from the association relation database, at least one multimedia content corresponding to the at least one recommended word may be further determined, so that the multimedia content corresponding to the recommended word is presented while the recommended word is being presented.

In an exemplary embodiment of the present disclosure, the association relation database may also be updated according to the keyword of the search request, the triggered multimedia content, and the triggered recommended content, so as to improve the accuracy of the association relation database, further improve the accuracy of the recommended content, and improve the search efficiency.

In an exemplary embodiment of the present disclosure, the keyword of the triggered multimedia content may be first determined based on at least one of the name, the tag, the summary information, the voice feature, the image feature, and the like of the triggered multimedia content, and then the recommended content presented to the user may be determined based on the keyword of the search request, the triggered multimedia content, and the keyword of the triggered multimedia content, so that the accuracy of the recommended content is improved, and thus the search efficiency is improved.

The search-based recommendation method according to the exemplary embodiment of the present disclosure has been described above in conjunction with fig. 1 to 4. Hereinafter, a search-based recommendation apparatus and units thereof according to an exemplary embodiment of the present disclosure will be described with reference to fig. 5 and 6.

Fig. 5 illustrates a block diagram of a search based recommendation device according to an exemplary embodiment of the present disclosure.

Referring to fig. 5, the search-based recommendation apparatus includes a multimedia presentation unit 51, a recommended content acquisition unit 52, and a recommended content presentation unit 53.

The multimedia presentation unit 51 is configured to present a multimedia search result obtained based on the search request.

The recommended content acquiring unit 52 is configured to acquire at least one recommended content corresponding to any multimedia content in the multimedia search results in response to a triggering operation of the user for the triggered multimedia content.

In an exemplary embodiment of the present disclosure, the recommended content may include multimedia content in which the recommended word corresponds to the recommended word, where the multimedia content is obtained based on a search result corresponding to the recommended word. In an exemplary embodiment of the present disclosure, the multimedia content may be, for example, but not limited to, pictures, images, videos, small videos, audio, and the like.

In an exemplary embodiment of the present disclosure, the recommended content acquiring unit 52 may be configured to: and replacing the triggered multimedia content with the at least one recommended content for presentation, or presenting the at least one recommended content at a position adjacent to the triggered multimedia content.

The recommended content presentation unit 53 is configured to present the at least one recommended content at a predetermined position of the multimedia search result page.

Fig. 6 illustrates a block diagram of a search based recommendation device according to an exemplary embodiment of the present disclosure.

Referring to fig. 6, the search-based recommendation apparatus includes a trigger content acquisition unit 61 and a recommended content selection unit 62.

The trigger content acquiring unit 61 is configured to acquire multimedia content triggered by the user in the multimedia search result.

In an exemplary embodiment of the present disclosure, the search-based recommendation apparatus may further include: a relationship determination unit (not shown) configured to determine a first relationship between keywords and a second relationship between multimedia content and keywords based on user historical behavior information, wherein the user historical behavior information includes search requests in a past predetermined time period, search times of the keywords, search orders of the keywords, and trigger information of the multimedia content in a multimedia search result; and a database establishing unit (not shown) configured to establish an association database according to the first association relation and the second association relation.

In an exemplary embodiment of the present disclosure, the relationship determination unit may include at least one of: a first determination unit configured to determine that there is an association relationship between a plurality of keywords of which the degree of coincidence of the search results exceeds a threshold value, and determine the association relationship as the first association relationship; a second determining unit configured to determine that an association relationship exists between a plurality of keywords of which search time difference values are smaller than a preset time difference value, and determine the association relationship as the first association relationship; a third determining unit configured to determine that there is an association relationship between a plurality of keywords whose search order difference is smaller than a preset order difference, and determine the association relationship as the first association relationship; and a fourth determining unit configured to determine that an association relationship exists between the keyword of the triggered multimedia content recorded in the user historical behavior information within a preset time period after the historical search request and the keyword of the historical search request, and determine the association relationship as the first association relationship.

In an exemplary embodiment of the present disclosure, the relationship determination unit may include at least one of: a fifth determining unit, configured to determine that an association relationship exists between the triggered multimedia content and the keyword of the historical search request when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, and determine the association relationship as the second association relationship; a sixth determining unit, configured to determine that an association relationship exists between the triggered multimedia content and a keyword having an association relationship with the keyword of the historical search request when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, and determine the association relationship as the second association relationship; and a seventh determining unit configured to determine that there is an association between the triggered multimedia content and the acquired keyword when the keyword of the triggered multimedia content is acquired through voice recognition and/or image recognition, and determine the association as the second association.

The recommended content selecting unit 62 is configured to select at least one recommended content for presentation from an association database based on the search request and the triggered multimedia content, wherein the association database includes at least a first association relationship between keywords and a second association relationship between multimedia content and keywords.

In an exemplary embodiment of the present disclosure, the recommended content selecting unit 62 may be configured to: acquiring the keywords of the search request and the keywords of the triggered multimedia content; selecting at least one recommended word for presentation from an association database based on the keywords of the search request, the triggered multimedia content, and the keywords of the triggered multimedia content.

In an exemplary embodiment of the present disclosure, the recommended content selecting unit 62 may be further configured to: and acquiring the keywords of the triggered multimedia content by performing voice recognition and/or image recognition on the triggered multimedia content, or acquiring the keywords of the triggered multimedia content from an association relation database.

In an exemplary embodiment of the present disclosure, the recommended content selecting unit 62 may be further configured to: determining at least one multimedia content corresponding to the at least one recommended word.

In an exemplary embodiment of the present disclosure, the search-based recommendation apparatus may further include a database update unit (not shown) configured to: and updating the association relation database according to the keywords of the search request, the triggered multimedia content and the triggered recommended content.

The search-based recommendation apparatus according to the exemplary embodiment of the present disclosure has been described above in conjunction with fig. 5 and 6. Next, an electronic apparatus according to an exemplary embodiment of the present disclosure is described with reference to fig. 7.

Referring now to fig. 7, a schematic diagram of an electronic device (e.g., a terminal device or server) 700 suitable for use in implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 7, the electronic device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage means 706 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

In general, input devices 706 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc., output devices 707 including, for example, a liquid crystal display (L CD), speaker, vibrator, etc., storage devices 706 including, for example, magnetic tape, hard disk, etc., and communication devices 709. communication devices 709 may allow electronic device 700 to communicate wirelessly or wiredly with other devices to exchange data.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 706, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport 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 appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). examples of communications networks include local area networks ("L AN"), wide area networks ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: displaying a multimedia search result obtained based on the search request; responding to a triggering operation of a user for any multimedia content in the multimedia search result, and acquiring at least one recommended content corresponding to the triggered multimedia content; and displaying the at least one recommended content at a preset position of the multimedia search result page.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring multimedia content triggered by a user in a multimedia search result; and selecting at least one recommended content for presentation from an association relation database based on the search request and the triggered multimedia content, wherein the association relation database at least comprises a first association relation among the keywords and a second association relation between the multimedia content and the keywords.

Computer program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including but not limited to AN object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation on the unit itself, for example, the recommended content selection unit may also be described as a "unit that selects at least one recommended content for recommendation to the user".

For example, without limitation, exemplary types of hardware logic that may be used include Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CP L D), and so forth.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can 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. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The search-based recommendation method and apparatus according to the exemplary embodiments of the present disclosure have been described above with reference to fig. 1 to 7. However, it should be understood that: the search-based recommendation apparatuses and units thereof shown in fig. 5 and 6 may be respectively configured as software, hardware, firmware, or any combination thereof performing specific functions, the electronic device shown in fig. 7 is not limited to include the above-illustrated components, but some components may be added or deleted as needed, and the above components may also be combined.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Referring to fig. 8, an electronic terminal 810 and a computing device 820 perform the following steps to implement a search based recommendation method according to an exemplary embodiment of the present disclosure. Here, the electronic terminal 810 may include, but is not limited to, an electronic apparatus such as a mobile phone, a smart phone, a notebook computer, a PDA (personal digital assistant), a PAD (tablet), a desktop computer, a wearable device, a robot, an internet of things terminal, etc., which may be used for searching, and the computing device 820 may include, but is not limited to, an electronic device such as a local server, a remote server, a device having a server function, etc. The electronic terminal 810 and the computing device 820 may be included in the same apparatus or device, may be included in different apparatuses or devices, may exist independently, or the computing device 820 may be included in the electronic terminal 810, which is not limited by the disclosure.

In step S801, the electronic terminal 810 presents a multimedia search result obtained based on the search request.

Specifically, when a user requests a search according to an input keyword, the searched multimedia search result is output, so that the user selects multimedia content from the search result of the search request to access.

After the user performs a triggering operation with respect to any multimedia content in the multimedia search result, the electronic terminal 810 transmits multimedia content triggered in the multimedia search result regarding the search request (or information representing the triggered multimedia content, such as, but not limited to, an index value, a number, etc.) to the computing device 820 at step S802. At least one recommended content corresponding to the triggered multimedia content is acquired. The multimedia content may be, for example, but not limited to, a small video, a video, an audio, and the like.

After receiving the triggered multimedia content sent by the electronic terminal 810, in step S803, the computing device 820 selects at least one recommended content for presentation from the association database based on the search request and the triggered multimedia content. Thereafter, the computing device 820 transmits the selected at least one recommended content for presentation to the electronic terminal 810 at step S804. Here, the association relation database includes at least a first association relation between the keywords and a second association relation between the multimedia content and the keywords.

In an exemplary embodiment of the present disclosure, the recommended content may include at least a recommended word. In an exemplary embodiment of the present disclosure, the recommended content may further include multimedia content corresponding to the recommended word, such as, but not limited to, a picture, an image, a video, and the like.

After receiving the at least one recommended content for presentation sent by the computing device 820, the electronic terminal 810 presents the at least one recommended content at a predetermined location of the multimedia search result page at step S805.

According to the search-based recommendation method and device provided by the exemplary embodiment of the disclosure, the multimedia search result obtained based on the search request is displayed, the triggering operation of the user for any multimedia content in the multimedia search result is responded, at least one recommendation content corresponding to the triggered multimedia content is obtained, and the at least one recommendation content is displayed at the preset position of the multimedia search result page, so that the recommendation is performed based on the multimedia content accessed by the user, the search path of the user is shortened, the search requirement of the user for the multimedia content is better met, and the search experience of the user is further improved.

According to the recommendation method and device based on search, the multimedia content triggered by the user in the multimedia search result is obtained, and at least one recommendation content used for displaying is selected from the association relation database based on the search request and the triggered multimedia content, so that the recommendation is performed based on the multimedia content accessed by the user, the search path of the user is shortened, the search efficiency is improved, the search requirement of the user on the multimedia content is better met, and the search experience of the user is further improved.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A search-based recommendation method, comprising:

displaying a multimedia search result obtained based on the search request;

responding to a triggering operation of a user for any multimedia content in the multimedia search result, and acquiring at least one recommended content corresponding to the triggered multimedia content;

and displaying the at least one recommended content at a preset position of the multimedia search result page.

2. The search based recommendation method of claim 1, wherein the step of presenting the at least one recommended content at a predetermined location of the multimedia search results page comprises:

and replacing the triggered multimedia content with the at least one recommended content for presentation, or presenting the at least one recommended content at a position adjacent to the triggered multimedia content.

3. The search-based recommendation method of claim 1, wherein the recommended content comprises recommended words and multimedia content corresponding to the recommended words, the multimedia content being obtained based on search results corresponding to the recommended words.

4. A search-based recommendation method, comprising:

acquiring multimedia content triggered by a user in a multimedia search result;

and selecting at least one recommended content for presentation from an association relation database based on the search request and the triggered multimedia content, wherein the association relation database at least comprises a first association relation among the keywords and a second association relation between the multimedia content and the keywords.

5. The search based recommendation method of claim 4, further comprising:

determining a first incidence relation among the keywords and a second incidence relation between the multimedia content and the keywords based on the historical behavior information of the user, wherein the historical behavior information of the user comprises a search request in a past preset time period, the search time of the keywords, the search sequence of the keywords and the trigger information of the multimedia content in a multimedia search result;

and establishing an association relation database according to the first association relation and the second association relation.

6. The search-based recommendation method of claim 5, wherein the step of determining a first association relationship between keywords comprises at least one of:

determining that incidence relations exist among a plurality of keywords of which the contact degrees of the search results exceed a threshold value, and determining the incidence relations as the first incidence relations;

determining that an association relationship exists among a plurality of keywords of which the search time difference is smaller than a preset time difference, and determining the association relationship as the first association relationship;

determining that an association relationship exists among a plurality of keywords of which the search sequence difference is smaller than a preset sequence difference, and determining the association relationship as the first association relationship;

determining that an incidence relation exists between a keyword of triggered multimedia content recorded in the user historical behavior information within a preset time period after the historical search request and the keyword of the historical search request, and determining the incidence relation as the first incidence relation.

7. The search based recommendation method of claim 6, wherein the step of determining a second association of multimedia content with keywords comprises at least one of:

when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, determining that an association relationship exists between the triggered multimedia content and the keywords of the historical search request, and determining the association relationship as the second association relationship;

when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, determining that an incidence relation exists between the triggered multimedia content and a keyword which has an incidence relation with the keyword of the historical search request, and determining the incidence relation as the second incidence relation;

when the keywords of the triggered multimedia content are acquired through voice recognition and/or image recognition, determining that the triggered multimedia content has an association relation with the acquired keywords, and determining the association relation as the second association relation.

8. The search based recommendation method of claim 4, wherein the step of selecting at least one recommended content from an association database for presentation based on the search request and the triggered multimedia content comprises:

acquiring the keywords of the search request and the keywords of the triggered multimedia content;

selecting at least one recommended word for presentation from an association database based on the keywords of the search request, the triggered multimedia content, and the keywords of the triggered multimedia content.

9. The search based recommendation method of claim 8, the step of obtaining the keywords of the search request and the keywords of the triggered multimedia content comprising at least one of the steps of:

acquiring keywords of the triggered multimedia content by performing voice recognition and/or image recognition on the triggered multimedia content;

and acquiring the keywords of the triggered multimedia content from an association relation database.

10. The search based recommendation method of claim 8, further comprising:

determining at least one multimedia content corresponding to the at least one recommended word.

11. The search based recommendation method of any of claims 4-10, further comprising:

and updating the association relation database according to the keywords of the search request, the triggered multimedia content and the triggered recommended content.

12. A search based recommendation apparatus comprising:

a multimedia presentation unit configured to present a multimedia search result obtained based on the search request;

a recommended content obtaining unit configured to obtain at least one recommended content corresponding to any multimedia content in the multimedia search results in response to a user's trigger operation for the triggered multimedia content; and

a recommended content presentation unit configured to present the at least one recommended content at a predetermined position of the multimedia search result page.

13. The search-based recommendation device of claim 12, wherein the recommended content acquisition unit is configured to:

14. The search-based recommendation device of claim 12, wherein the recommended content comprises recommended words and multimedia content corresponding to the recommended words, the multimedia content being obtained based on search results corresponding to the recommended words.

15. A search based recommendation apparatus comprising:

a trigger content acquisition unit configured to acquire multimedia content triggered by a user in a multimedia search result;

and the recommended content selecting unit is configured to select at least one recommended content for presentation from an association relation database based on the search request and the triggered multimedia content, wherein the association relation database at least comprises a first association relation among the keywords and a second association relation between the multimedia content and the keywords.

16. The search based recommendation device of claim 15, further comprising:

the relation determining unit is configured to determine a first incidence relation among the keywords and a second incidence relation among the multimedia contents and the keywords based on user historical behavior information, wherein the user historical behavior information comprises search requests in a past preset time period, search time of the keywords, search sequence of the keywords and trigger information of the multimedia contents in a multimedia search result; and

a database establishing unit configured to establish an association database according to the first association relation and the second association relation.

17. The search based recommendation device of claim 16, wherein the relationship determination unit comprises at least one of:

a first determination unit configured to determine that there is an association relationship between a plurality of keywords of which the degree of coincidence of the search results exceeds a threshold value, and determine the association relationship as the first association relationship;

a second determining unit configured to determine that an association relationship exists between a plurality of keywords of which search time difference values are smaller than a preset time difference value, and determine the association relationship as the first association relationship;

a third determining unit configured to determine that there is an association relationship between a plurality of keywords whose search order difference is smaller than a preset order difference, and determine the association relationship as the first association relationship; and

a fourth determining unit, configured to determine that there is an association relationship between the keyword of the triggered multimedia content recorded in the user historical behavior information within a preset time period after a historical search request and the keyword of the historical search request, and determine the association relationship as the first association relationship.

18. The search based recommendation device of claim 17, wherein the relationship determination unit comprises at least one of:

a fifth determining unit, configured to determine that an association relationship exists between the triggered multimedia content and the keyword of the historical search request when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, and determine the association relationship as the second association relationship;

a sixth determining unit, configured to determine that an association relationship exists between the triggered multimedia content and a keyword having an association relationship with the keyword of the historical search request when the triggering time of the triggered multimedia content is within a preset time period after the historical search request, and determine the association relationship as the second association relationship; and

a seventh determining unit configured to determine that there is an association between the triggered multimedia content and the acquired keyword when the keyword of the triggered multimedia content is acquired through voice recognition and/or image recognition, and determine the association as the second association.

19. The search based recommendation device of claim 15, wherein the recommended content selection unit is configured to:

20. The search based recommendation device of claim 19, wherein the recommended content selection unit is further configured to:

acquiring a keyword of the triggered multimedia content by performing voice recognition and/or image recognition on the triggered multimedia content, or,

21. The search based recommendation device of claim 19, wherein the recommended content selection unit is further configured to:

22. The search based recommendation device of any of claims 15-21, further comprising a database update unit configured to:

23. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the search based recommendation method of any of claims 1-11.

24. An electronic device, comprising:

a processing device;

storage means storing a computer program which, when executed by a processor, implements the search based recommendation method of any one of claims 1 to 11.