CN103365906A - System and method for achieving search and recommendation based on locations - Google Patents
System and method for achieving search and recommendation based on locations Download PDFInfo
- Publication number
- CN103365906A CN103365906A CN2012100993015A CN201210099301A CN103365906A CN 103365906 A CN103365906 A CN 103365906A CN 2012100993015 A CN2012100993015 A CN 2012100993015A CN 201210099301 A CN201210099301 A CN 201210099301A CN 103365906 A CN103365906 A CN 103365906A
- Authority
- CN
- China
- Prior art keywords
- location
- recommendation
- search
- information
- rank
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a system for achieving search and recommendation based on locations. The system comprises a location matching service module, a search service module, a data storage module, a recommendation service module and a synthesis module, wherein the location matching service module is used for continuously conducting location matching, the search service module is used for conducting further search processing on location matching result sets, the data storage module is used for processing, storing and accessing information, the recommendation service module is used for generating recommendation information, and the synthesis module is used for interfering with the location search results, synthesizing the location search results and the recommendation information, and pushing the location search results and the recommendation information to users. The invention further discloses a method for achieving search and recommendation based on the locations. The recommendation information is synthesized on the basis of automatic searching for dynamic information or static information based on the instant locations, the requirement of the users for discovering information is met, and using experience of the users is improved, so that better services can be provided for the users.
Description
Technical field
The present invention relates to location-based service and search technique field, relate to especially a kind of system and method for realizing location-based search and recommendation.
Background technology
Along with the fast development of mobile Internet, location finding is permeating gradually and is affecting daily life.Location finding also is location-based search, is use location information in search, and then affects Search Results.Existing technology and research concentrates on the index of location finding result's ordering, location information mostly, to the geographical marking of information or webpage and the aspect such as extract location information from information or webpage how.In Chinese patent application 201210031400.X number, disclosed a kind of system and method for the different location-based search of realization, this scheme is separated the coupling that circulates with positional information, if the location matches result is arranged, further search for again processing, thereby with repeatedly, utmost point light weight, the search of determining replaces single, complicated, uncertain search, and positional information is constantly updated, Search Results is pushed to the user immediately by notification service, thereby so that user's Search Results is not disposable providing, but continuous correction provides immediately according to the change in location of user and information on services, can realize based on present position, to dynamic or static information, search has further developed location-based search technique automatically.
But each Search Results and ordering in this scheme are provided by search engine, manually can't intervene, can not satisfy the user fully to the demand of INFORMATION DISCOVERY, because under many circumstances, the user need to meet the location finding result of their individual character and preference more, perhaps their demand is difficult to explain with simple key word, or their indefinite oneself demand also in fact.
Summary of the invention
In view of this, the purpose of this invention is to provide a kind of system and method for realizing location-based search and recommendation
,It is at the existing synthetic recommendation information in basis to the automatic search of dynamic or static information that provides based on present position, thereby satisfies the user to the demand of INFORMATION DISCOVERY.
For achieving the above object, the present invention adopts following technical scheme:
A kind of system that realizes location-based search and recommendation, comprise for the location matches service module that successively carries out location matches, be used for position matching result collection is further searched for the search service module of processing, be used for the data memory module of information processing, storage and access, described system further comprises:
Recommendation service module: be used for generating recommendations information;
Synthesis module: be used for to intervene the location finding result, itself and recommendation information are synthesized and be pushed to the user.
As a further improvement on the present invention, described recommendation service module is based on that mass data is excavated and/or the intelligent recommendation of machine learning/discovery system, or simple infosystem, or ad system.
As a further improvement on the present invention, described recommendation information comprises impact position search result rank, the additional recommendations information rank outside the Search Results of position; Described additional recommendations information rank comprises relevant additional recommendations information rank, any additional recommendations information rank; Described recommendation information based on following at least each: the position, bid, popular grading, user personality preference, association search, social collection of illustrative plates, interest graph, any.
As a further improvement on the present invention, described location finding result and recommendation information comprise when every location finding as a result synthetic opportunity, during the interval location Search Results, during the ad-hoc location Search Results; Described interval comprises location interval, the time interval, number of results interval; Described specific, comprise ad-hoc location, special time, particular result; After synthetic, location finding as a result rank is shown to the user with the additional recommendations information rank in mode identical or difference, and the additional recommendations information rank is shown to the user in one or more modes.
As a further improvement on the present invention, described system adopts real-time distributed computing architecture, and is realized by software, firmware, hardware or its combination.
A kind of method that realizes location-based search and recommendation is characterized in that, described method comprises:
A. receive the request of the described search of user, increase this user and participate in location matches;
B. successively carry out location matches;
If c. the location matches result is arranged, then position matching result collection is further searched for processing and obtain the location finding result;
D. generating recommendations information;
E. the position Search Results is intervened, itself and recommendation information are synthesized and immediately be pushed to this user;
F. stop described search, stop this user and participate in location matches;
Wherein, steps d and step b, the step c sequencing on the logical level not.
As a further improvement on the present invention, steps d is executed in based on the intelligent recommendation of mass data excavation and/or machine learning/discovery system, or simple infosystem, or ad system.
As a further improvement on the present invention, described recommendation information comprises impact position search result rank, the additional recommendations information rank outside the Search Results of position; Described additional recommendations information rank comprises relevant additional recommendations information rank, any additional recommendations information rank; Described recommendation information based on following at least each: the position, bid, popular grading, user personality preference, association search, social collection of illustrative plates, interest graph, any.
As a further improvement on the present invention, the execution of described step e comprise when every location finding as a result opportunity, during the interval location Search Results, during the ad-hoc location Search Results; Described interval comprises location interval, the time interval, number of results interval; Described specific, comprise ad-hoc location, special time, particular result; After synthetic, location finding as a result rank is shown to the user with the additional recommendations information rank in mode identical or difference, and the additional recommendations information rank is shown to the user in one or more modes.
As a further improvement on the present invention, described method is based on real-time distributed calculating.
Can find out by technical scheme of the present invention, by at the existing synthetic recommendation information in basis to the automatic search of dynamic or static information that provides based on present position, satisfy the user to the demand of INFORMATION DISCOVERY, promote simultaneously user's experience, thereby provide service for the user better.Another beneficial effect of the present invention is, because recommendation information is relevant with user's position, individual character preference, search condition, social collection of illustrative plates, interest graph etc., thereby for operator and the user of described system provides accurately information input target, for more convenient daily life provides.
Description of drawings
Fig. 1 is the structural representation of the system of the location-based search of realization of the present invention and recommendation;
Fig. 2 is the concrete structure synoptic diagram of the first embodiment of recommendation service module of the present invention;
Fig. 3 is the concrete structure synoptic diagram of the second embodiment of recommendation service module of the present invention;
Fig. 4 is the concrete structure synoptic diagram of the 3rd embodiment of recommendation service module of the present invention;
Fig. 5 is the concrete structure synoptic diagram of the 4th embodiment of recommendation service module of the present invention;
Fig. 6 is the concrete structure synoptic diagram of the 5th embodiment of recommendation service module of the present invention;
Fig. 7 is the concrete structure synoptic diagram of the 6th embodiment of recommendation service module of the present invention;
Fig. 8 is the concrete structure synoptic diagram of the 7th embodiment of recommendation service module of the present invention;
Fig. 9 is the schematic flow sheet of the method for the location-based search of realization of the present invention and recommendation.
Embodiment
In order to make the purpose, technical solutions and advantages of the present invention clearer, describe the present invention below in conjunction with the drawings and specific embodiments.
Fig. 1 is the structural representation of the system of the location-based search of realization of the present invention and recommendation.As shown in Figure 1, the system of the location-based search of realization according to the present invention and recommendation, comprise for the location matches service module 11 that successively carries out location matches, be used for position matching result collection is further searched for the search service module 12 of processing, the data memory module 13 that is used for information processing, storage and access, the recommendation service module 14 that is used for generating recommendations information, be used for to intervene the location finding result, itself and recommendation information are synthesized and be pushed to user's synthesis module 15.
In the present invention, recommendation service module 14 can be based on that mass data is excavated and the intelligent recommendation of machine learning/discovery system, can be simple infosystem, also can be ad system; Rank that can an impact position Search Results also can be the additional recommendations information rank outside the Search Results of position; Described additional recommendations information rank comprise the relevant additional recommendations information rank relevant with the location finding result, with the incoherent any additional recommendations information rank of location finding result.Embodiment below in conjunction with Fig. 2 ~ 8 pair recommendation service module 14 is described below.
Fig. 2 is the concrete structure synoptic diagram of the first embodiment of recommendation service module of the present invention.As shown in Figure 2, recommendation service module 14 includes only recommendation information and generates submodule 2, be used for generating any recommendation information, and in practice, can be ad system, be used for generating and can synthesize the advertisement that carry is put Search Results arbitrarily.Recommendation service module 14 is carried out rank and/or any additional recommendations information rank with the location finding result according to its position and user's distance, immediately is pushed to the user.For example: in the Search Results of position, embed the automobile image advertisement.Yet nearby in the search, distance often seems so unimportant, as: be both in 100 meters, 50 meters and 60 meters there is no much differences concerning the user, and synthetic recommendation information can be used as the Main Basis of rank.
Fig. 3 is the concrete structure synoptic diagram of the second embodiment of recommendation service module of the present invention.As shown in Figure 3, recommendation service module 14 specifically can comprise the submodule 31 of bidding, and is used for obtaining or inputting described bid information; The updating submodule 32 of bidding is used for upgrading the recommended priority of data memory module 13 information on services.Recommendation service module 14 is determined its recommended priority according to information on services provider's bid situation, as the bid ranking of routine search engine, but need to increase area attribute, when synthesis module 15 is synthetic with reference to this recommended priority.For example, market A has bought the shopping key word in a certain zone with highest price, then when it appears in the customer location Search Results, always come first, perhaps always appear in the relevant additional recommendations information rank outside this regional customer location Search Results.
Fig. 4 is the concrete structure synoptic diagram of the 3rd embodiment of recommendation service module of the present invention.As shown in Figure 4, recommendation service module 14 specifically can comprise grading obtains submodule 41, be used for obtaining described grading information, the comment recommendation information in the third party database that described grading information comprises link number between the webpage that obtains by the reptile program, obtain by opening API, by described system collect, arrangement, the comment recommendation information stored etc.; Grading updating submodule 42 is for the recommended priority of upgrading data memory module 13 information on services.Recommendation service module 14 is determined its recommended priority according to masses to the grading of information on services, when synthesis module 15 is synthetic with reference to this recommended priority.For example, near the restaurant the user search, obtains higher popular grade or higher public praise will be in the Search Results of position rank before.
Fig. 5 is the concrete structure synoptic diagram of the 4th embodiment of recommendation service module of the present invention.As shown in Figure 5, recommendation service module 14 specifically comprises customer analysis submodule 51, be used for analysis user personal settings, use preference, search custom, search history etc.; Recommendation information generates submodule 52, is used for generating the corresponding rank factor and/or relevant additional recommendations information rank according to analysis result.After search service module 12 receives user search request, recommendation service module 14 according to user's personal settings, use preference, search custom, search history etc. to analyze, thereby definite location finding as a result rank and/or relevant additional recommendations information rank.For example, the user is provided with and receives reward voucher or often search near reward voucher, and then when this user carried out location finding, machine was near the reward voucher its propelling movement in due course.
Fig. 6 is the concrete structure synoptic diagram of the 5th embodiment of recommendation service module of the present invention.As shown in Figure 6, recommendation service module 14 specifically comprises association search analysis submodule 61, is used for user's search condition is carried out association analysis; Recommendation information generates submodule 62, is used for generating the corresponding rank factor and/or relevant additional recommendations information rank according to analysis result.After search service module 12 received user search request, recommendation service module 14 was carried out association analysis according to user's location finding condition, thereby determined location finding as a result rank and/or relevant additional recommendations information rank.For example, want to purchase by group the people of certain commodity near the user search, then in due course machine near the businessman that certain commodity is arranged it pushes.
Fig. 7 is the concrete structure synoptic diagram of the 6th embodiment of recommendation service module of the present invention.As shown in Figure 7, recommendation service module 14 specifically comprises collection of illustrative plates acquisition of information submodule 71, be used for obtaining social collection of illustrative plates and/or interest graph by opening API, reptile program etc. from third-party platform, described third-party platform comprises microblogging, social networks, answer platform, forum's platform or BBS (Bulletin Board System) platform etc.; Collection of illustrative plates information analysis submodule 72 is used for adopting the methods such as data mining, machine learning that social collection of illustrative plates, interest graph are analyzed; Recommendation information generates submodule 73, is used for generating the corresponding rank factor and/or relevant additional recommendations information rank according to analysis result.After search service module 12 received user search request, 14 couples of users' of recommendation service module social collection of illustrative plates and/or interest graph were analyzed, thereby determined location finding as a result rank and/or relevant additional recommendations information rank.For example, near the people who goes in for photography the user A search, by the interest graph analysis, find nearby users B the same with user A except photography also hobby travels the user B location finding foremost as a result that comes user A then; By the socialgram analysis of spectrum, do not go in for photography though find nearby users C, with the photographic work that user A praised certain famous expert, then user C appears in the relevant additional recommendations information rank of user A.
Fig. 8 is the concrete structure synoptic diagram of the 7th embodiment of recommendation service module of the present invention.As shown in Figure 8, recommendation service module 14 comprises that specifically integrated information obtains submodule 81, be used for by interface, reptile program etc. obtain the position, bid, integrated information and/or any additional recommendations information of the combinations such as popular grading, user personality preference, association search, social collection of illustrative plates, interest graph; Integrated information is analyzed submodule 82, is used for adopting the methods such as data mining, machine learning that integrated information is analyzed; Recommendation information generates submodule 83, is used for generating the corresponding rank factor, relevant additional recommendations information rank and/or any additional recommendations information rank according to analysis result.After search service module 12 receives user search request, 14 pairs of positions of recommendation service module, bid, the combinations such as popular grading, user personality preference, association search, social collection of illustrative plates, interest graph carry out analysis-by-synthesis, thereby determine location finding as a result rank, relevant additional recommendations information rank and/or any additional recommendations information rank, being in due course is pushed to the user.For example, the cheapness weak point that near the 100 meters individuals of user search provide is rented a house, never have the result, but nearby 500 meters have a good star hotel of popular grading doing preferential advertising campaign, then generate relevant additional recommendations information rank, and embedding certain building sale advertising, machine is pushed to this user in due course.
The algorithm of recommendation service module 14 realizes adopting correlation rule (Association Rule-based Recommendation), content-based (Content-based Recommendation), collaborative filtering (Collaborative Filtering Recommendation) or its combination etc., owing to be prior art, repeat no more here.
In the present invention, 15 pairs of position Search Results of synthesis module carry out rank, synthetic relevant additional recommendations information rank and/or synthetic any additional recommendations information rank with synthetic the comprising according to rank factor pair location finding result of recommendation information.Comprise synthetic opportunity: when having location finding as a result, recommendation information will help the user to process better problem, help simultaneously to promote user's experience, because more frequent, be suitable for position-based, will bid, popular grading, arbitrarily recommendation; When the interval location Search Results, described interval, comprise location interval, the time interval, number of results interval, for example, the user has moved 1 kilometer does not all have Search Results, user search all do not have Search Results in 30 minutes, the user has received Search Results 5 times, these the time push corresponding recommendation information to the user, may help the user to solve still open question, help simultaneously to promote user's experience; When the ad-hoc location Search Results, described specific, comprise ad-hoc location, special time, particular result, for example, the user is through certain when doing the doorway, market of advertising campaign, during 10 of every mornings, when location finding arrives certain famous person, these the time push corresponding recommendation information to the user, may bring beyond thought results to the user, help simultaneously to promote user's experience.After synthetic, location finding as a result rank and additional recommendations information rank can be shown to the user in an identical manner, and the mode that also can distinguish is shown to the user; The mode of difference includes but not limited to zones of different, different identification, multi-form, different colours, different fonts; The additional recommendations information rank can one or more modes be shown to the user, and for example, relevant additional recommendations information rank separate the tabulation demonstration with the location finding result, and any additional recommendations information rank is then in the embedded location Search Results.
In the present invention, search service module 12, recommendation service module 14 shareable data memory modules 13 also can be gathered around respectively the data memory module with oneself.
The system of the location-based search of realization according to the present invention and recommendation can adopt real-time distributed computing architecture, even software can also be converted into corresponding firmware, hardware or its combination and be realized, owing to be prior art, repeats no more here.
Fig. 9 is the schematic flow sheet of the method for the location-based search of realization of the present invention and recommendation.As shown in Figure 9, the method for the location-based search of realization according to the present invention and recommendation comprises the steps:
Wherein, step 94 and step 92, step 93 sequencing on the logical level not.
According to the present invention, comprise at the concrete methods of realizing of step 94: the location finding result is carried out rank and/or any additional recommendations information rank according to its position and user's distance; Perhaps determine its recommended priority according to information on services provider's bid situation, as the bid ranking of routine search engine, but need to increase area attribute; Perhaps obtain popular grading to information on services to determine its recommended priority by reptile program, opening API or described system interface etc.; Perhaps in the personal settings that receive user search request post analysis user, use preference, search custom, search history etc. with definite search result rank and/or relevant additional recommendations information rank; Perhaps after receiving user search request, carry out association analysis to determine search result rank and/or relevant additional recommendations information rank according to user's location finding condition; Perhaps after receiving user search request, the intersection graph spectrum and/or the interest graph that obtain from third party's microblogging, social networks, answer platform, forum's platform or BBS (Bulletin Board System) platform etc. are analyzed to determine search result rank and/or relevant additional recommendations information rank; Perhaps after receiving user search request position-based, bid, the combinations such as popular grading, user personality preference, association search, social collection of illustrative plates, interest graph carry out analysis-by-synthesis with determine search result rank, be correlated with additional recommendations information rank and/or any additional recommendations information rank.
According to the present invention, the execution of step 95 comprises opportunity: when having location finding as a result, recommendation information will help the user to process better problem, help simultaneously to promote user's experience, because more frequent, be suitable for position-based, bid, popular grading, recommend arbitrarily; When the interval location Search Results, described interval comprises location interval, the time interval, number of results interval, these the time push corresponding recommendation information to it, may help the user to solve still open question, help simultaneously to promote user's experience; When the ad-hoc location Search Results, described specific, comprise ad-hoc location, special time, particular result, these the time push corresponding recommendation information to it, may bring beyond thought results to the user, help simultaneously to promote user's experience.After synthetic, location finding as a result rank and additional recommendations information rank can be shown to the user in an identical manner, and the mode that also can distinguish is shown to the user; The mode of difference includes but not limited to zones of different, different identification, multi-form, different colours, different fonts; The additional recommendations information rank can one or more modes be shown to the user, and for example, relevant additional recommendations information rank separate the tabulation demonstration with the location finding result, and any additional recommendations information rank is then in the embedded location Search Results.
The method of the location-based search of realization according to the present invention and recommendation can adopt real-time distributed calculating, owing to be prior art, repeats no more here.
Should be appreciated that above-mentioned only is to the displaying of the present invention's spirit and principle, does not consist of improper restriction of the present invention; To those skilled in the art, can under the prerequisite of not paying creative work, be improved or conversion, and all these improvement or conversion all should be included within protection scope of the present invention.
Claims (10)
1. system that realizes location-based search and recommendation, comprise for the location matches service module that successively carries out location matches, be used for position matching result collection is further searched for the search service module of processing, the data memory module that is used for information processing, storage and access, it is characterized in that described system further comprises:
Recommendation service module: be used for generating recommendations information;
Synthesis module: be used for to intervene the location finding result, itself and recommendation information are synthesized and be pushed to the user.
2. the system of the location-based search of realization according to claim 1 and recommendation, it is characterized in that, described recommendation service module is based on that mass data is excavated and/or the intelligent recommendation of machine learning/discovery system, or simple infosystem, or ad system.
3. the system of the location-based search of realization according to claim 1 and recommendation is characterized in that, described recommendation information comprises impact position search result rank, the additional recommendations information rank outside the Search Results of position; Described additional recommendations information rank comprises relevant additional recommendations information rank, any additional recommendations information rank; Described recommendation information based on following at least each: the position, bid, popular grading, user personality preference, association search, social collection of illustrative plates, interest graph, any.
4. the system of the location-based search of realization according to claim 1 and recommendation, it is characterized in that described location finding result and recommendation information comprise when every location finding as a result synthetic opportunity, during the interval location Search Results, during the ad-hoc location Search Results; Described interval comprises location interval, the time interval, number of results interval; Described specific, comprise ad-hoc location, special time, particular result; After synthetic, location finding as a result rank is shown to the user with the additional recommendations information rank in mode identical or difference, and the additional recommendations information rank is shown to the user in one or more modes.
5. the system of the location-based search of realization according to claim 1 and recommendation is characterized in that, described system adopts real-time distributed computing architecture, and is realized by software, firmware, hardware or its combination.
6. method that realizes location-based search and recommendation is characterized in that described method comprises:
A. receive the request of the described search of user, increase this user and participate in location matches;
B. successively carry out location matches;
If c. the location matches result is arranged, then position matching result collection is further searched for processing and obtain the location finding result;
D. generating recommendations information;
E. the position Search Results is intervened, itself and recommendation information are synthesized and immediately be pushed to this user;
F. stop described search, stop this user and participate in location matches;
Wherein, steps d and step b, the step c sequencing on the logical level not.
7. the method for the location-based search of realization according to claim 6 and recommendation, it is characterized in that, steps d is executed in based on the intelligent recommendation of mass data excavation and/or machine learning/discovery system, or simple infosystem, or ad system.
8. the method for the location-based search of realization according to claim 6 and recommendation is characterized in that, described recommendation information comprises impact position search result rank, the additional recommendations information rank outside the Search Results of position; Described additional recommendations information rank comprises relevant additional recommendations information rank, any additional recommendations information rank; Described recommendation information based on following at least each: the position, bid, popular grading, user personality preference, association search, social collection of illustrative plates, interest graph, any.
9. the method for the location-based search of realization according to claim 6 and recommendation is characterized in that, the execution of described step e comprises when every location finding as a result opportunity, during the interval location Search Results, during the ad-hoc location Search Results; Described interval comprises location interval, the time interval, number of results interval; Described specific, comprise ad-hoc location, special time, particular result; After synthetic, location finding as a result rank is shown to the user with the additional recommendations information rank in mode identical or difference, and the additional recommendations information rank is shown to the user in one or more modes.
10. the method for the location-based search of realization according to claim 6 and recommendation is characterized in that, described method is based on real-time distributed calculating.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012100993015A CN103365906A (en) | 2012-04-08 | 2012-04-08 | System and method for achieving search and recommendation based on locations |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012100993015A CN103365906A (en) | 2012-04-08 | 2012-04-08 | System and method for achieving search and recommendation based on locations |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103365906A true CN103365906A (en) | 2013-10-23 |
Family
ID=49367270
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012100993015A Pending CN103365906A (en) | 2012-04-08 | 2012-04-08 | System and method for achieving search and recommendation based on locations |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103365906A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679483A (en) * | 2014-01-07 | 2014-03-26 | 厦门美图之家科技有限公司 | Method for using terminal for constructing neighboring market trading system |
| CN104079640A (en) * | 2014-06-24 | 2014-10-01 | 袁蔚 | User service delivery method and system |
| CN104376111A (en) * | 2014-11-27 | 2015-02-25 | 百度在线网络技术（北京）有限公司 | Location-based service providing method and device |
| CN104580394A (en) * | 2014-12-17 | 2015-04-29 | 惠州Tcl移动通信有限公司 | Mobile terminal and life service information pushing method thereof |
| CN105245589A (en) * | 2015-09-28 | 2016-01-13 | 小米科技有限责任公司 | Information display method and device |
| CN106030594A (en) * | 2014-02-24 | 2016-10-12 | 微软技术许可有限责任公司 | Accelerated training of personal daemons |
| CN106776676A (en) * | 2016-11-01 | 2017-05-31 | 北京百度网讯科技有限公司 | The method and apparatus that the automatic day recommended in tour schedule stays |
| CN107408116A (en) * | 2015-12-14 | 2017-11-28 | 微软技术许可有限责任公司 | Promote the discovery of item of information using dynamic knowledge collection of illustrative plates |
| CN107944897A (en) * | 2016-10-13 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Data label dissemination system, method, server and client side |
| CN108509493A (en) * | 2018-02-13 | 2018-09-07 | 北京邮电大学 | A kind of AR visual search recommendation service method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1925670A (en) * | 2005-09-01 | 2007-03-07 | 中兴通讯股份有限公司 | Method for realizing burst mode positioning in mobile communication system |
| CN102082995A (en) * | 2009-11-30 | 2011-06-01 | 中国移动通信集团公司 | Method, system and device for providing positional information |
| CN102158802A (en) * | 2011-02-15 | 2011-08-17 | 广州市动景计算机科技有限公司 | Information distribution method and device |
| CN102184224A (en) * | 2011-05-09 | 2011-09-14 | 李郁文 | System and method for screening search results |
| CN102208079A (en) * | 2010-03-29 | 2011-10-05 | 上海博泰悦臻电子设备制造有限公司 | Service platform and method for publishing advertising information |
-
2012
- 2012-04-08 CN CN2012100993015A patent/CN103365906A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1925670A (en) * | 2005-09-01 | 2007-03-07 | 中兴通讯股份有限公司 | Method for realizing burst mode positioning in mobile communication system |
| CN102082995A (en) * | 2009-11-30 | 2011-06-01 | 中国移动通信集团公司 | Method, system and device for providing positional information |
| CN102208079A (en) * | 2010-03-29 | 2011-10-05 | 上海博泰悦臻电子设备制造有限公司 | Service platform and method for publishing advertising information |
| CN102158802A (en) * | 2011-02-15 | 2011-08-17 | 广州市动景计算机科技有限公司 | Information distribution method and device |
| CN102184224A (en) * | 2011-05-09 | 2011-09-14 | 李郁文 | System and method for screening search results |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679483A (en) * | 2014-01-07 | 2014-03-26 | 厦门美图之家科技有限公司 | Method for using terminal for constructing neighboring market trading system |
| CN106030594A (en) * | 2014-02-24 | 2016-10-12 | 微软技术许可有限责任公司 | Accelerated training of personal daemons |
| CN106030594B (en) * | 2014-02-24 | 2019-03-08 | 微软技术许可有限责任公司 | The acceleration training of personal demons |
| CN104079640A (en) * | 2014-06-24 | 2014-10-01 | 袁蔚 | User service delivery method and system |
| CN104079640B (en) * | 2014-06-24 | 2017-12-12 | 袁蔚 | A kind of user service provides method and system |
| CN104376111A (en) * | 2014-11-27 | 2015-02-25 | 百度在线网络技术（北京）有限公司 | Location-based service providing method and device |
| CN104580394A (en) * | 2014-12-17 | 2015-04-29 | 惠州Tcl移动通信有限公司 | Mobile terminal and life service information pushing method thereof |
| CN105245589B (en) * | 2015-09-28 | 2019-06-14 | 小米科技有限责任公司 | Information displaying method and device |
| CN105245589A (en) * | 2015-09-28 | 2016-01-13 | 小米科技有限责任公司 | Information display method and device |
| US11061974B2 (en) | 2015-12-14 | 2021-07-13 | Microsoft Technology Licensing, Llc | Facilitating discovery of information items using dynamic knowledge graph |
| CN107408116A (en) * | 2015-12-14 | 2017-11-28 | 微软技术许可有限责任公司 | Promote the discovery of item of information using dynamic knowledge collection of illustrative plates |
| CN107408116B (en) * | 2015-12-14 | 2021-02-02 | 微软技术许可有限责任公司 | Using dynamic knowledge graphs to facilitate discovery of information items |
| CN107944897A (en) * | 2016-10-13 | 2018-04-20 | 阿里巴巴集团控股有限公司 | Data label dissemination system, method, server and client side |
| CN106776676A (en) * | 2016-11-01 | 2017-05-31 | 北京百度网讯科技有限公司 | The method and apparatus that the automatic day recommended in tour schedule stays |
| CN108509493A (en) * | 2018-02-13 | 2018-09-07 | 北京邮电大学 | A kind of AR visual search recommendation service method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103365906A (en) | System and method for achieving search and recommendation based on locations | |
| US10455363B2 (en) | Systems and methods for using geo-blocks and geo-fences to discover lookalike mobile devices | |
| US11481461B2 (en) | Concept networks and systems and methods for the creation, update and use of same to select images, including the selection of images corresponding to destinations in artificial intelligence systems | |
| Zheng et al. | Learning travel recommendations from user-generated GPS traces | |
| CN102326176B (en) | System and method for delivering sponsored landmark and location labels | |
| Rahmadian et al. | A systematic literature review on the use of big data for sustainable tourism | |
| JP5248915B2 (en) | GPS tracking and learning of user behavior preferences from well-known nearby destinations | |
| JP7241354B2 (en) | Method and apparatus for transmitting publicly displayed information to mobile devices | |
| KR20180103908A (en) | SYSTEM, METHOD, AND DEVICE FOR GENERATING GEOGRAPHIC REGION HEAT MAP | |
| KR101615892B1 (en) | Mobile social network service system for processing big data for travel infomation based on location and method for processing of the same | |
| Lyu et al. | Big data in action: An overview of big data studies in tourism and hospitality literature | |
| JP5892403B1 (en) | Information processing system, information processing method, information processing apparatus, and information processing program | |
| WO2011094341A2 (en) | System and method for social networking | |
| Priedhorsky et al. | The computational geowiki: What, why, and how | |
| KR102376614B1 (en) | Apparatus for providing shortest online purchase route in less than 5 clicks | |
| CN107004179A (en) | The system and method for dynamic select communication identifier | |
| US11138249B1 (en) | Systems and methods for the creation, update and use of concept networks to select destinations in artificial intelligence systems | |
| CN103997505A (en) | Method and device for recommending information of self-picking-up sites of business object | |
| WO2013041517A1 (en) | A method to generate a personalized tourist route | |
| CN110009379A (en) | A kind of building of site selection model and site selecting method, device and equipment | |
| CN104050243A (en) | Network searching method and system combined with searching and social contact | |
| WO2019075120A1 (en) | Systems and methods for using geo-blocks and geo-fences to discover lookalike mobile devices | |
| Menk et al. | Recommendation systems for tourism based on social networks: A survey | |
| Lin et al. | Extracting urban landmarks from geographical datasets using a random forests classifier | |
| CN103337026A (en) | Advertising systems and methods using embedded map |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20131023 |