CN111444356B

CN111444356B - Recommendation method and device based on search

Info

Publication number: CN111444356B
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: 2024-02-13
Anticipated expiration: 2040-03-11
Also published as: CN111444356A

Abstract

A recommendation method and device based on search are provided. The search-based recommendation method comprises the following steps: displaying multimedia search results acquired based on the search request; responding to the triggering operation of a user on any multimedia content in the multimedia search results, 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 the search recommends 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 requirement of the user, and further improves the search experience of the user.

Description

Recommendation method and device based on search

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. Because the user often cannot accurately express the content which the user wants to search for when browsing the content in the small video search result, the content which the user wants to browse does not exist in the search result. Therefore, the user needs to continuously change the keywords in the search box for a long time to search, 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 disclosure provides a recommendation method and device based on search, so as to improve accuracy of recommendation based on search and further improve search efficiency of a user.

According to an exemplary embodiment of the present disclosure, there is provided a search-based recommendation method including: displaying multimedia search results acquired based on the search request; responding to the triggering operation of a user on any multimedia content in the multimedia search results, 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 location of the multimedia search result page may include: and replacing the triggered multimedia content with the at least one recommended content for display, or displaying the at least one recommended content at the adjacent position of the triggered multimedia content.

Alternatively, the recommended content may include a recommended word and multimedia content corresponding to the recommended word, the multimedia content being 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 display 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 between 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 association relationship between keywords and a second association relationship between the multimedia content and the keywords based on user history behavior information, wherein the user history behavior information comprises search requests in a preset time period in the past, search time of the keywords, search sequence of the keywords and trigger information of the multimedia content in the multimedia search results; 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 an incidence relation exists among a plurality of keywords of which the coincidence degree of the search result exceeds a threshold value, and determining the incidence relation as the first incidence relation; determining that an association relationship exists among a plurality of keywords with search time difference values smaller than a preset time difference value, and determining the association relationship as the first association relationship; determining that an association relationship exists among a plurality of keywords with search sequence differences smaller than a preset sequence difference, and determining the association relationship as the first association relationship; determining that an association relationship exists between the key words of the triggered multimedia content recorded in the user history behavior information in a preset time period after the history search request and the key words of the history search request, and determining the association relationship as the first association relationship.

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

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

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

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

Optionally, the search-based recommendation method may further include: and updating the association relation database according to the keyword 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 multimedia search results acquired based on the search request; a recommended content acquisition unit configured to acquire at least one recommended content corresponding to the triggered multimedia content in response to a triggering operation of a user for any one of the multimedia search results; 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 display, or displaying the at least one recommended content at the adjacent position of 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 selection unit is configured to select at least one recommended content for display 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 between keywords and a second association relation between the multimedia content and the keywords.

Optionally, the search-based recommendation device may further include: a relationship determination unit configured to determine a first association relationship between keywords and a second association relationship between multimedia content and keywords based on user history behavior information, wherein the user history behavior information includes a search request within a past predetermined period of time, a search time of the keywords, a search order of the keywords, trigger information of the multimedia content in the multimedia search result; and a database establishing unit configured to establish an association database according to the first association and the second association.

Alternatively, the relationship determination unit may include at least one of: a first determining unit configured to determine that an association relationship exists between a plurality of keywords whose overlap ratio of the search result 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 having a search time difference value 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 an association relationship exists between a plurality of keywords having a search order difference value smaller than a preset order difference value, 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 history behavior information within a preset period of time after the history search request and the keyword of the history search request, and determine the association relationship as the first association relationship.

Alternatively, the relationship determination unit may include at least one of: a fifth determining unit configured to determine that an association exists between the triggered multimedia content and the keywords of the history search request and determine the association as the second association when the trigger time of the triggered multimedia content is within a preset time period after the history search request; a sixth determining unit configured to determine that an association exists between the triggered multimedia content and a keyword having an association with a keyword of the history search request, and determine the association as the second association, when a trigger time of the triggered multimedia content is within a preset time period after the history search request; and a seventh determining unit configured to determine that an association exists 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 selection unit may be configured to: acquiring keywords of the search request and keywords of the triggered multimedia content; and selecting at least one recommended word for display from an association relation database based on the keyword of the search request, the triggered multimedia content and the keyword of the triggered multimedia content.

Optionally, the recommended content selection unit may be further configured to: and acquiring the keywords of the triggered multimedia content by carrying out 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 selection unit may be further configured to: at least one multimedia content corresponding to the at least one recommended word is determined.

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

According to an exemplary embodiment of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which, when being 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; and a storage device storing a computer program which, when executed by the processor, implements a search-based recommendation method according to an exemplary embodiment of the present disclosure.

According to the recommendation method and the recommendation device based on searching, according to the exemplary embodiment of the disclosure, multimedia search results obtained based on a search request are displayed first, at least one recommendation content corresponding to the triggered multimedia content is obtained in response to triggering operation of a user on any one of the multimedia search results, and then the at least one recommendation 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, 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.

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 embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 illustrates a flowchart of a search-based recommendation method according to an exemplary embodiment of the present disclosure;

FIG. 2 illustrates an example of replacing triggered multimedia content with recommended content for presentation;

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

FIG. 4 illustrates a flowchart of a search-based recommendation method according to an exemplary embodiment of the present disclosure;

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

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

fig. 7 shows 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 example diagram 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 have been shown in the accompanying 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 are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present 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. Furthermore, 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 "including" and variations thereof as used herein are intended to be 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. Related definitions of other terms will be given in the description below.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such 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, electronic devices such as mobile phones, smart phones, notebook computers, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, wearable devices, robots, internet of things terminals, etc. that may be used for searching.

Referring to fig. 1, in step S101, multimedia search results acquired based on a search request are presented.

Specifically, when a user requests a search according to an input keyword, the searched multimedia search results are output such that the user selects multimedia contents from the search results of the search request to access. For example, when the keyword input by the user is "car", the displayed small video search result includes small videos about honda, baozhen, rear drive, front drive, tire, and the like.

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

In an exemplary embodiment of the present disclosure, the recommended content may include a recommended word and multimedia content corresponding to the recommended word. 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 is not limited to, pictures, images, video, small video, audio, and the like.

Specifically, after presenting the searched multimedia search results, the user may select to access any one of the multimedia contents of the searched multimedia search results in a trigger manner such as clicking, touching, etc. from the presented multimedia search results. When a user clicks on a multimedia content in the multimedia search results, the user enters a page corresponding to the multimedia content, which is usually the content of interest to the user. Therefore, the recommended word corresponding to the multimedia content is usually a keyword intended to continue searching and the multimedia content corresponding to the keyword after the page corresponding to the multimedia content of the user returns the search result page. For example, when the user clicks on the small video regarding "honda's field crash test", recommended content corresponding to the small video regarding "honda's field crash test" is acquired, such as, but not limited to, recommended words of "ford's market", "pamphlet x 5 new quote", "gallop's new car", and "pamphlet car test drive", etc. In addition, pictures, images, videos and the like of ' Furt ' market, BMW X5 new quotation ', ' Benz c new car type ', and ' BMW car test driving ' can be obtained. Thus, when the user finishes watching the small video of the Honda collision test, after the search result page is returned, the user can continue watching the recommended content based on the video.

At 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, the at least one recommended content may be displayed in place of the triggered multimedia content or in adjacent positions of the triggered multimedia content when the at least one recommended content is displayed in a predetermined position of the multimedia search result page. In particular, the at least one multimedia content may be output based on a location of the multimedia content accessed by the user in the page.

When the user selects the displayed recommended word or the picture corresponding to the recommended word in a triggering manner 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, keywords of triggered multimedia content may be first determined based on at least one of a name, a tag, summary information, a voice feature, an image feature, etc. of the triggered multimedia content, and then recommended content presented to a user may be determined based on the keywords of the search request, the triggered multimedia content, and the keywords of the triggered multimedia content, thereby improving accuracy of the recommended content.

Fig. 2 shows an example of replacing triggered multimedia content with recommended content for presentation. Fig. 3 shows an example of showing recommended content in a vicinity of triggered multimedia content. In fig. 2, the triggered small video on "honda's field collision test" is replaced with "ford's field marketing", "pamphlet x 5 new quote", "gallop c is a new car" and "pamphlet car test driving" recommended words and corresponding pictures. In fig. 3, below the position in the page of the triggered small video on "honda's field collision test", the "ford field marketing", "pamphlet x 5 new quote", "gallop c is a new car" and "pamphlet car test driving" recommended words and corresponding pictures are shown. It should be understood that recommended words and corresponding pictures may also be output above, in front of, and behind the location in the page of the triggered small video (e.g., name, tag, small video summarized as "honda-si-area collision test") regarding "honda-area collision test", which is not limiting to this disclosure.

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 server-enabled device, etc

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

When a user requests searching according to the input keywords, the searched multimedia search results are output, so that the user selects multimedia contents from the search results of the search request to access. After outputting the searched multimedia search results, the user may select any one of the multimedia contents in the searched multimedia search results to be accessed from the presented multimedia search results in a trigger manner such as clicking, touching, etc. When a user clicks on a multimedia content in the multimedia search results, the user enters a page corresponding to the multimedia content, which is usually the content of interest to the user. Therefore, the recommended word corresponding to the multimedia content is generally a keyword that the user wants to search for.

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

In the exemplary embodiments of the present disclosure, at least one of the following steps may be performed in determining the association relationship between the keywords (for clarity of description, the association relationship between the keywords is referred to as a first association relationship): determining that there is an association relationship between a plurality of keywords whose overlap ratio of the search results exceeds a threshold (for example, but not limited to, 30%, 40%, 50%, 60%, etc.), and determining the association relationship as a first association relationship; determining that an association exists between a plurality of keywords having a search time difference value smaller than a preset time difference value (for example, but not limited to, 1 minute, 2 minutes, 5 minutes, 10 minutes, 15 minutes, etc.), and determining the association as a first association; determining that an association relationship exists among a plurality of keywords with search order differences smaller than a preset order difference (such as, but not limited to, 5, 10, 15, etc.), and determining the association relationship as a first association relationship; determining that an incidence relation exists between the key words of the triggered multimedia content recorded in the user history behavior information in a preset time period after the history search request and the key words of the history search request, and determining the incidence relation as a first incidence relation, so that the accuracy of the incidence relation is improved.

Specifically, in determining the first association relationship between the keywords, whether two or more keywords are associated may be determined using one of the following four methods, association relationships may be determined using a plurality of the four methods at the same time, and embodiments of the present disclosure are not limited thereto, and association relationships may be determined using other similar methods.

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

First, when a large number of users search with the first keyword and then search with the second keyword within, for example, 10 minutes, the first keyword and the second keyword are determined as two keywords associated.

Thirdly, when a large number of users search by using the first keyword and then search by using the second keyword, the third keyword and the fourth keyword, determining that the first keyword has an association relationship with the second keyword, the third keyword and the fourth keyword.

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

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

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

In the exemplary embodiment of the present disclosure, when the keyword of the search request and the keyword of the triggered multimedia content are acquired, the keyword of the triggered multimedia content may be acquired by performing voice recognition and/or image recognition on the triggered multimedia content, and the keyword of the triggered multimedia content may also be acquired from an association database, thereby improving accuracy of recommended content. For example, when the sound of the object a (e.g., a person or a machine that can make a sound) and the image of the object B (e.g., a person or an object) are included in the triggered multimedia content, the object a and the object B may be regarded as keywords of the triggered multimedia content, thereby improving accuracy of the keywords. Then, when at least one recommended word for presentation is selected from the association relation database, the recommended word related to the object a and the object B may be selected, thereby improving accuracy of the recommended word. Here, the object a and the object B may be the same object or may be different objects, which is not limited by the present disclosure. In addition, keywords of the triggered multimedia content can be extracted from attribute information such as names, labels, abstract information and the like 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 also be determined, so that the multimedia content corresponding to the recommended word is presented while the recommended word is presented.

In the exemplary embodiment of the disclosure, the association relation database can be updated according to the keyword of the search request, the triggered multimedia content and the triggered recommended content, so that the accuracy of the association relation database is improved, the accuracy of the recommended content is further improved, and the search efficiency is improved.

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

Search-based recommendation methods according to exemplary embodiments of the present disclosure have been described above in connection 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 multimedia search results acquired based on the search request.

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

In an exemplary embodiment of the present disclosure, the recommended content may include a recommended word and multimedia content corresponding 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, a picture, an image, a video, a small video, 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 display, or displaying the at least one recommended content at the adjacent position of 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 acquisition unit 61 is configured to acquire multimedia content triggered by a 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 association relationship between keywords and a second association relationship between multimedia content and keywords based on user history behavior information including a search request within a past predetermined period of time, a search time of the keywords, a search order of the keywords, trigger information of multimedia content in a multimedia search result; and a database creation unit (not shown) configured to create an association database from the first association and the second association.

In an exemplary embodiment of the present disclosure, the relationship determination unit may include at least one of: a first determining unit configured to determine that an association relationship exists between a plurality of keywords whose overlap ratio of the search result 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 having a search time difference value 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 an association relationship exists between a plurality of keywords having a search order difference value smaller than a preset order difference value, 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 history behavior information within a preset period of time after the history search request and the keyword of the history 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 exists between the triggered multimedia content and the keywords of the history search request and determine the association as the second association when the trigger time of the triggered multimedia content is within a preset time period after the history search request; a sixth determining unit configured to determine that an association exists between the triggered multimedia content and a keyword having an association with a keyword of the history search request, and determine the association as the second association, when a trigger time of the triggered multimedia content is within a preset time period after the history search request; and a seventh determining unit configured to determine that an association exists 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 selection 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 selection unit 62 may be configured to: acquiring keywords of the search request and keywords of the triggered multimedia content; and selecting at least one recommended word for display from an association relation 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, the recommended content selection unit 62 may be further configured to: and acquiring the keywords of the triggered multimedia content by carrying out 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 selection unit 62 may be further configured to: at least one multimedia content corresponding to the at least one recommended word is determined.

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

Search-based recommending apparatuses according to exemplary embodiments of the present disclosure have been described above in connection with fig. 5 and 6. Next, an electronic device 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 devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 7, the electronic device 700 may include a processing means (e.g., a central processor, a graphics processor, etc.) 701, which may perform various appropriate actions and processes according to 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 required for the operation of the electronic device 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

In general, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 706 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 shows an electronic device 700 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.

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

It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 context of this 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 the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

In some implementations, 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 communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("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 contained in the electronic device; or may exist alone without being incorporated 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 multimedia search results acquired based on the search request; responding to the triggering operation of a user on any multimedia content in the multimedia search results, 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 display 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 between 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 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 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. In the case of a remote computer, the remote computer may 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 may be connected to an external computer (for example, through the Internet using an Internet service provider).

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

The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.

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. The 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.

Search-based recommendation methods and apparatuses according to 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 apparatus and units thereof shown in fig. 5 and 6, respectively, may be configured as software, hardware, firmware, or any combination of the above to perform specific functions, the electronic device shown in fig. 7 is not limited to include the components shown above, but some components may be added or deleted as needed, and the above components may also be combined.

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Moreover, although 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. In 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 limiting the scope of the present 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, the electronic terminal 810 and the 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 computer), a desktop computer, a wearable device, a robot, an internet of things terminal, etc. that 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 server-enabled device, 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 separately, or may be included in the electronic terminal 810, which is not limited by the present disclosure.

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

Specifically, when a user requests a search according to an input keyword, the searched multimedia search results are output such that the user selects multimedia contents from the search results of the search request to access.

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

After receiving the triggered multimedia content transmitted by the electronic terminal 810, 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 in step S803. Thereafter, in step S804, the computing device 820 transmits the selected at least one recommended content for presentation to the electronic terminal 810. Here, the association database includes at least a first association between keywords and a second association 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 exemplary embodiments of the present disclosure, the recommended content may further include multimedia content corresponding to the recommended word, such as, but not limited to, pictures, images, videos, 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 in step S805.

According to the recommendation method and the recommendation device based on searching, which are disclosed by the exemplary embodiment of the invention, by displaying the multimedia search results obtained based on the search request, responding to the triggering operation of a user on any one multimedia content in the multimedia search results, obtaining at least one recommendation content corresponding to the triggered multimedia content, and displaying the at least one recommendation content at the preset position of the multimedia search result page, thereby recommending based on the multimedia content accessed by the user, shortening the search path of the user, better meeting the search requirement of the user on the multimedia content, and further improving the search experience of the user.

According to the recommendation method and the recommendation device based on searching, which are disclosed by the exemplary embodiment of the invention, by acquiring the multimedia content triggered by the user in the multimedia search result, and selecting at least one recommendation content for display from the association relation database based on the search request and the triggered multimedia content, the recommendation is performed based on the multimedia content accessed by the user, so that 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 example forms of implementing the claims.

Claims

1. A search-based recommendation method, comprising:

displaying multimedia search results acquired based on the search request;

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

Displaying the at least one recommended content at a predetermined location of the multimedia search results page;

wherein the step of displaying the at least one recommended content at a predetermined location of the multimedia search result page comprises: replacing the triggered multimedia content with the at least one recommended content for display; wherein the recommended content is determined based on the keywords of the search request, the triggered multimedia content, and the keywords of the triggered multimedia content.

2. The search-based recommendation method of claim 1, wherein the recommended content includes a recommended word and multimedia content corresponding to the recommended word, the multimedia content being obtained based on a search result corresponding to the recommended word.

3. A search-based recommendation method, comprising:

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

selecting at least one recommended content for display from an association database based on the search request and the triggered multimedia content, wherein the association database at least comprises a first association relationship between keywords and a second association relationship between the multimedia content and the keywords;

Replacing the triggered multimedia content with the at least one recommended content for display;

the first association relation between the keywords is determined by the coincidence ratio of the search results, the search time difference value, the search sequence difference value and/or the keywords of the triggered multimedia content recorded in the user history behavior information in a preset time period after the history search request, and the second association relation between the multimedia content and the keywords is determined by the triggering time of the triggered multimedia content and/or the keywords of the triggered multimedia content.

4. The search-based recommendation method of claim 3, further comprising:

determining a first association relationship between keywords and a second association relationship between the multimedia content and the keywords based on user history behavior information, wherein the user history behavior information comprises search requests in a preset time period in the past, search time of the keywords, search sequence of the keywords and trigger information of the multimedia content in the multimedia search results;

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

5. The search-based recommendation method of claim 4, wherein the step of determining a first association relationship between keywords comprises at least one of the following steps:

Determining that an incidence relation exists among a plurality of keywords of which the coincidence degree of the search result exceeds a threshold value, and determining the incidence relation as the first incidence relation;

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

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

determining that an association relationship exists between the key words of the triggered multimedia content recorded in the user history behavior information in a preset time period after the history search request and the key words of the history search request, and determining the association relationship as the first association relationship.

6. The search-based recommendation method of claim 5, wherein the step of determining a second association of the multimedia content with the keyword comprises at least one of:

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

When the triggering time of the triggered multimedia content is within a preset time period after the history search request, determining that an association relationship exists between the triggered multimedia content and a keyword which has an association relationship with the keyword of the history search request, and determining the association relationship as the second association relationship;

when the keyword of the triggered multimedia content is acquired through voice recognition and/or image recognition, determining that an association relationship exists between the triggered multimedia content and the acquired keyword, and determining the association relationship as the second association relationship.

7. A search-based recommendation method according to claim 3, wherein the step of selecting at least one recommended content for presentation from an associative database based on the search request and the triggered multimedia content comprises:

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

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

8. The search-based recommendation method of claim 7, the step of obtaining keywords of the search request and keywords of the triggered multimedia content comprising at least one of:

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

and acquiring the key words of the triggered multimedia content from the association relation database.

9. The search-based recommendation method of claim 7, further comprising:

at least one multimedia content corresponding to the at least one recommended word is determined.

10. The search based recommendation method of any one of claims 3 to 9, further comprising:

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

11. A search-based recommendation device, comprising:

a multimedia presentation unit configured to present multimedia search results acquired based on the search request;

a recommended content acquisition unit configured to acquire at least one recommended content corresponding to the triggered multimedia content in response to a triggering operation of a user for any one of the multimedia search results; and

a recommended content display unit configured to display the at least one recommended content at a predetermined position of the multimedia search result page;

Wherein the recommended content presentation unit is configured to: replacing the triggered multimedia content with the at least one recommended content for display; the recommended content is determined based on the keywords of the search request, the triggered multimedia content, and the keywords of the triggered multimedia content.

12. The search-based recommendation device of claim 11, wherein the recommended content includes a recommended word and multimedia content corresponding to the recommended word, the multimedia content being derived based on a search result corresponding to the recommended word.

13. A search-based recommendation device, comprising:

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

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

a recommended content display unit configured to replace the triggered multimedia content with the at least one recommended content for display;

14. The search-based recommendation device of claim 13, further comprising:

a relationship determination unit configured to determine a first association relationship between keywords and a second association relationship between multimedia content and keywords based on user history behavior information, wherein the user history behavior information includes a search request within a past predetermined period of time, a search time of the keywords, a search order of the keywords, trigger information of the multimedia content in the multimedia search result; and

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

15. The search-based recommendation device of claim 14, wherein the relationship determination unit comprises at least one of:

A first determining unit configured to determine that an association relationship exists between a plurality of keywords whose overlap ratio of the search result 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 having a search time difference value 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 an association relationship exists between a plurality of keywords having a search order difference value smaller than a preset order difference value, and determine the association relationship as the first association relationship; and

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 history behavior information within a preset period of time after the history search request and the keyword of the history search request, and determine the association relationship as the first association relationship.

16. The search-based recommendation device of claim 15, wherein the relationship determination unit comprises at least one of:

a fifth determining unit configured to determine that an association exists between the triggered multimedia content and the keywords of the history search request and determine the association as the second association when the trigger time of the triggered multimedia content is within a preset time period after the history search request;

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

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

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

18. The search-based recommendation device of claim 17, wherein the recommended content selection unit is further configured to:

The key words of the triggered multimedia content are acquired by performing voice recognition and/or image recognition on the triggered multimedia content, or,

19. The search-based recommendation device of claim 17, wherein the recommended content selection unit is further configured to:

20. The search-based recommendation device of any one of claims 13 to 19, further comprising a database updating unit configured to:

21. 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 one of claims 1 to 10.

22. 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 10.