CN105302916A - Information recommendation method and device - Google Patents
Information recommendation method and device Download PDFInfo
- Publication number
- CN105302916A CN105302916A CN201510784856.7A CN201510784856A CN105302916A CN 105302916 A CN105302916 A CN 105302916A CN 201510784856 A CN201510784856 A CN 201510784856A CN 105302916 A CN105302916 A CN 105302916A
- Authority
- CN
- China
- Prior art keywords
- recommendation
- information
- region
- resident
- target location
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
Abstract
The invention discloses an information recommendation method and device. The method includes the steps of obtaining the target position region where a user is currently located, and determining the recommendation mode according to the target position region, wherein the recommendation mode is adapted to the requirements of the user in the target position region; generating a recommendation result corresponding to the recommendation mode; outputting the generated recommendation result. According to the information recommendation method and device, the recommendation mode can be determined according to the target position region where the user is currently located, and the recommendation mode is adapted to the requirements of the user in the target position region, so that the recommendation result obtained according to the recommendation mode can provide more effective information for the user, and recommendation efficiency is improved.
Description
Technical field
The embodiment of the present invention relates to geo-location service technology, particularly relates to a kind of method and device of information recommendation.
Background technology
Along with geo-location service (LocationBasedService, LBS) development of technology, the geographical location information service such as map application application except can be passive provide the geographical location information of building for user, initiatively can also recommend the store information of user's periphery for user.
When recommending store information, according to user's current location, will apart from current location comparatively near (as in 5 kilometers) and clicking rate higher (as every day number of clicks more than 50 times) retail shop's information preferential recommendation to user.
But; because user is comparatively familiar for often movable place (resident point) retail shop's distribution situation around; therefore; according in the recommendation results obtained of the existing way of recommendation; comprise retail shop's information that many users have known; and then abundant effective information cannot be recommended to user, recommend efficiency low.
Summary of the invention
The invention provides a kind of method and device of information recommendation, to realize according to user present position, be the information that user's recommendation conforms in the recommended requirements of present position with user, improve and recommend efficiency.
First aspect, embodiments provides a kind of method of information recommendation, comprising:
Obtain the current residing region, target location of user;
Determine the way of recommendation according to region, described target location, the described way of recommendation and the demand of user in region, described target location adapt;
Generate the recommendation results corresponding with the described way of recommendation;
Export the described recommendation results generated.
Second aspect, the embodiment of the present invention additionally provides a kind of device of information recommendation, comprising:
Target location area acquisition unit, for obtaining the current residing region, target location of user;
Way of recommendation determining unit, determines the way of recommendation for the region, described target location determined according to described target location area acquisition unit, and the described way of recommendation and the demand of user in region, described target location adapt;
Recommendation results determining unit, for the recommendation results that the described way of recommendation generated with described way of recommendation determining unit is determined is corresponding;
Output unit, for exporting the described recommendation results that described recommendation results determining unit generates.
The present invention determines the way of recommendation by the current residing region, target location of user, and obtains corresponding recommendation results according to the way of recommendation determined, recommendation results is exported to user.With prior art, user is recommended in shop higher for close together clicking rate by the current location according to user, recommend that efficiency is low compares, the present invention can determine the way of recommendation according to the current residing region, target location of user, due to this way of recommendation and user, the demand in region, described target location adapts, therefore the recommendation results obtained according to this way of recommendation can provide more effective information for user, improves and recommends efficiency.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the method for information recommendation in the embodiment of the present invention one;
Fig. 2 is the display interface schematic diagram of the recommendation results in the embodiment of the present invention one;
Fig. 3 is the process flow diagram of the method for information recommendation in the embodiment of the present invention two;
Fig. 4 is the display interface schematic diagram of the recommendation results in the embodiment of the present invention two;
Fig. 5 is the process flow diagram of the method for information recommendation in the embodiment of the present invention three;
Fig. 6 is the structural representation of the device of information recommendation in the embodiment of the present invention four.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, illustrate only part related to the present invention in accompanying drawing but not entire infrastructure.
Embodiment one
The process flow diagram of the method for a kind of information recommendation that Fig. 1 provides for the embodiment of the present invention one, the present embodiment is applicable to the situation into user's recommendation information, the method can be performed by the terminal can running the geographical location information service application such as map application, terminal is as smart mobile phone, panel computer, intelligent wearable device etc., and the method specifically comprises as follows:
S110, the current residing region, target location of acquisition user.
Region, target location can be resident residential district, the community that such as user lives.Region, target location can also be resident perform region, and such as user goes to work the office building etc. at place.If user has been connected to wireless network (Wi-Fi), then the region, target location can determining residing for user according to the finger Internet protocol address of user (InternetProtocolAddress, IP address).
S120, determine the way of recommendation according to region, target location, the way of recommendation and the demand of user in region, target location adapt.
Because user is not quite similar in the recommended requirements of the different bands of position, therefore the demand of user in region, target location should be considered when determining the way of recommendation.First the demand properties of user in region, target location is obtained, then according to this demand properties determination way of recommendation.Such as: user is when work place, higher to the pass demand of diet information, lower to the demand of amusement and recreation information, be therefore the information that user's recommended dietary is relevant, as take-away information etc.Again such as: when user is in, higher to the demand of amusement and recreation information, lower to the pass demand of diet information, therefore for user recommends the information that amusement and recreation are relevant, as KTV information, cinema's information, supermarket information, stadiums information etc.
S130, generate the recommendation results corresponding with the way of recommendation.
According to the way of recommendation determined in S120, determine at least one search key.From default recommendation information database, recommendation results is filtered out according to this at least one search key.Preset the every bar recommendation information in recommendation information database, comprise title attribute and position attribution.
In one implementation, first determine hunting zone according to the positional information in region, target location, filter out the recommendation information being positioned at this hunting zone.And then in the recommendation information filtered out, screen according to search key, obtain recommendation results.
In another kind of implementation, first screen according to search key, obtain the recommendation information meeting search key.Then, the positional information according to region, target location determines hunting zone, by being positioned at the recommendation information of this hunting zone in the recommendation information meeting search key, is defined as recommendation results.
The recommendation results that S140, output generate.
Recommendation results is shown successively at screen.Display interface as shown in Figure 2, shows the recommendation results presetting number (as 5) in screen in original state.During along with user's control screen slip, show the recommendation results that all the other do not show successively.The DISPLAY ORDER of recommendation results can according to the scoring of recommendation information (scoring is up to 5 points, every 0.5 point one scoring rank), determine with the distance of user's current location and clicking rate.Such as: the scoring of recommendation information is higher, with the distance of user's current location is nearer, clicking rate is higher, this recommendation information is more displayed by priority.
Further, except by recommendation results being shown to outdoor, also by voice mode, recommendation results being played to user, realizing user and can obtain recommendation results without the need to reading screen, improve Consumer's Experience.
The technical scheme that the present embodiment provides determines the way of recommendation by the current residing region, target location of user, and obtains corresponding recommendation results according to the way of recommendation determined, recommendation results is exported to user.With prior art, user is recommended in shop higher for close together clicking rate by the current location according to user, recommend that efficiency is low compares, the present embodiment can determine the way of recommendation according to the current residing region, target location of user, due to this way of recommendation and user, the demand in region, described target location adapts, therefore the recommendation results obtained according to this way of recommendation can provide more effective information for user, improves and recommends efficiency.
Embodiment two
The embodiment of the present invention additionally provides a kind of method of information recommendation, as further illustrating embodiment one, as shown in Figure 3, S110, the current residing region, target location of acquisition user, implement by following operation:
The current location of S101, acquisition user.
The current location of user is obtained by GPS (GlobalPositioningSystem, GPS).GPS can provide a coordinate figure for terminal, and this coordinate figure can be used for the current location representing user.
If S102 current location is arranged in preset position area, then current residing preset position area is defined as region, target location.
User all has special recommended requirements in all regions, such as, be on duty way in possibly cannot subscribe take-aways (taking out as opening meal) or uncertain the need of reservation take-away.Therefore, the region that may there is ad hoc recommended requirements to user is preset, such as the community that user lives is set to resident residential area, the office building at the place, office of user is set to resident perform region, and then obtains two preset position area (resident residential area and resident perform region).
The technical scheme that the present embodiment provides, the preset position area that can be positioned at according to the current location of user is defined as region, target location.When there is no wireless network (Wi-Fi), obtain position by global position system GPS, and then improve real-time and the accuracy of user location, and then determine region, target location more accurately, improve and recommend efficiency.
The method of the information recommendation that the embodiment of the present invention provides, preferably, S120, describedly determine the way of recommendation corresponding with region, described target location, implement by following manner:
Mode one: if region, target location is resident residential area, then group purchase information, action message or amusement and recreation information in preferential recommendation first detection range.
Group purchase information comprises commodity group purchase information, and action message comprises the action message in place, commodity discounting action message and coupons information.Amusement and recreation information comprises KTV information, bar information etc.
It should be noted that, can search for according to the group purchase information in the first detection range, action message and amusement and recreation information, also can select one or select two and search for according to group purchase information, action message and amusement and recreation information.
Mode two: if region, target location is resident perform region, then the take-away information in preferential recommendation first detection range or cuisines information.
Take-away information comprises the available take-away dish information in dining room and package information, and cuisines information comprises the available dish information in dining room.
Mode three: if region, target location is non-resident inhabitation city, then sight spot information, public traffic information, hotel information or cuisines information in preferential recommendation first detection range.
Resident inhabitation city is the habitual residence of user, or the inhabitation city that user selectes.City beyond resident inhabitation city is non-resident inhabitation city.User, when non-resident inhabitation city, is generally and goes on business or be on home leave, and now the recommended requirements of user may be sight spot demand, transport need, hotel's demand or cuisines demand.Public traffic information comprises bus (bus) information, subway (rapid transit) information and the autonomous vehicles (as self-service dynamo lighting set) information.Hotel information comprises quick hotel information, Peasants Joy information, star hotel's information etc.
It should be noted that, can search for according to the sight spot information in the first detection range, public traffic information, hotel information and cuisines information, also can select one or select two and search for according to sight spot information, public traffic information, hotel information or cuisines information.
In above-mentioned three kinds of ways of search, the first detection range can be user's range coverage on foot, such as 5 kilometers.With resident residential area for the center of circle, the first detection range is radius, determines region of search.In mode one, from default recommendation information database, search for the group purchase information, action message or the amusement and recreation information that are arranged in this region of search.In mode two, from default recommendation information database, search is arranged in take-away information or the cuisines information of this region of search.In mode three, from default recommendation information database, search for the sight spot information, public traffic information, hotel information or the cuisines information that are arranged in this region of search.
The technical scheme that the present embodiment provides, can work as user be in resident residential area, resident perform region and non-resident inhabitation city time, determine the corresponding way of recommendation, and then provide the recommendation information being suitable for user's request for user, improve and recommend efficiency.
Because user is for the situation comparatively data of resident residential area periphery, even the whole shops in certain limit (as 5 kilometers) all may be known about, now recommend according to the first detection range, probably cannot meet the demand of user.Based on this, optionally, in mode one, if region, described target location is resident residential area, then group purchase information, action message or amusement and recreation information in preferential recommendation second detection range, described second detection range is greater than described first detection range.
In one implementation, the second detection range is 2 times of the first detection range.If the first detection range is 5 kilometers, then the second detection range is 10 kilometers.
By expanding hunting zone, recommendation information more users can being recommended not know for user, improving and recommending efficiency.
The method of the information recommendation that the embodiment of the present invention provides, further, as shown in Figure 3, before obtaining the current residing region, target location of user, described method also comprises:
S100, according to the track data of described user and/or click data, determine described resident residential area, described resident perform region and described non-resident inhabitation city.
Track data comprises multiple anchor point, and multiple anchor point user represents that user is at not residing in the same time diverse location.When user opens map application, or when starting global position system GPS, terminal can obtain the anchor point (i.e. coordinate information) of user according to prefixed time interval.The time of terminal to the anchor point obtained and acquisition anchor point preserves, and forms the relation group of (anchor point, time).
By analyzing the time of anchor point and acquisition anchor point, obtain resident residential area, described resident perform region and described non-resident inhabitation city.
Exemplarily, obtain working time section correspondence N number of (N be greater than 1 integer) anchor point, the working time, section was as 8:30-12:00,13:00-17:30, determined resident perform region according to N number of anchor point.Optionally, the smallest circular region including N number of anchor point is defined as resident perform region.Optionally, obtain the smallest circular region including N number of anchor point, centered by the center of circle in this smallest circular region, predeterminable range (as 1 kilometer) is radius, determines resident perform region.
The determination mode of resident residential area can with reference to the deterministic process of resident perform region, not liquor-saturatedly herein repeats.
After determining resident residential area and resident perform region, the city at resident residential area and place, resident perform region is defined as resident inhabitation city.If resident residential area and resident perform region are positioned at two cities, then these two cities are defined as resident inhabitation city.Or, obtain the track data that user obtains in certain hour section (the last week or the previous moon as current time), if the anchor point of user is positioned at certain city all the time in this period of time period, or the anchor point of preset ratio (as 80% or 90%) is positioned at certain city, then this city is defined as resident inhabitation city.
When generating recommendations result, centered by the center of circle in this smallest circular region, the recommendation information in default recommendation information database is screened.
Click data comprises user and in map application, inputs keyword and in electronic chart, carry out position corresponding to clicking operation, as the keyword " certain church " of user's input, and the and for example clicking operation etc. that triggers in certain corresponding region, park of user.The keyword inputted according to user and clicking operation can determine resident inhabitation city.
The commercial circle selected when click data also comprises user search retail shop information and carry out in map amplify display region.Optionally, the region of carrying out user's frequent (as a week more than 3 times) in map to amplify display is defined as resident residential area; The commercial circle that user selects is defined as resident perform region.
In order to improve the accuracy of resident residential area and resident perform region, when the resident residential area determined by track data is identical with the resident residential area determined by click data, this resident residential area is defined as final resident residential area; Otherwise, if different, then redefine resident residential area, until same position.Or, if different, then the resident residential area determined according to track data is defined as final resident residential area.The determination mode of resident perform region with reference to the deterministic process of resident residential area, can not repeat herein.
According to the track data of user and click data, the technical scheme that the present embodiment provides, can determine that non-resident inhabitation city is remembered in resident perform region, resident residential area accurately, improve the accuracy of recommending.
The method of the information recommendation that the embodiment of the present invention provides, further, as shown in Figure 3, the described recommendation results that S140, output generate, implement by following operation:
S140 ＇, at least one viewing area, show the recommendation results corresponding at least one in described resident residential area, described resident perform region and described non-resident inhabitation city respectively.
Terminal screen is made up of multiple viewing area.In each viewing area, the recommendation results that the sliding trace that can trigger in this viewing area according to user controls in viewing area is rolled.
In one implementation, first three viewing area shows recommendation results corresponding to resident residential area, described resident perform region and non-resident inhabitation city respectively, show all the other recommendation results in 4th viewing area, all the other recommendation results are be not included in the recommendation results in the recommendation results that generates according to resident residential area, described resident perform region and non-resident inhabitation city.All the other recommendation results can be determined according to the distance between number of clicks and current location and scoring.This interface is applicable to the situation that user is in non-resident inhabitation city.
In another kind of implementation, as shown in Figure 4, the first two viewing area shows resident residential area and described resident perform region respectively, shows 2 recommendation results in each viewing area.All the other recommendation results are shown in 3rd viewing area.This interface is applicable to the situation that user is in resident inhabitation city.
The technical scheme that the present embodiment provides, can show recommendation results in resident residential area, described resident perform region and described non-resident inhabitation city corresponding at least one by different viewing area simultaneously, improve display efficiency.
Embodiment three
The process flow diagram of a kind of information recommendation method that Fig. 5 provides for the embodiment of the present invention three, the present embodiment is specifically described above-described embodiment by a use scenes, and as shown in Figure 5, the method comprises:
S201, terminal receive the recommendation request that user triggers.
User clicks periphery and recommends in map application, trigger recommendation request.
S202, obtain the current location of user by GPS.
S203, judge whether current location is arranged in resident residential area, resident perform region or non-resident inhabitation city.
If the current positional information of S204a is positioned at resident residential area, then from default recommendation information database, filters out group purchase information, action message and amusement and recreation information in 10 kilometers, obtain recommendation results.
If the current positional information of S204b is positioned at resident perform region, then from default recommendation information database, filters out the take-away information in 5 kilometers or cuisines information, obtain recommendation results.
If the current positional information of S204c is positioned at non-resident inhabitation city, then from default recommendation information database, filters out sight spot information, public traffic information, hotel information or cuisines information in 5 kilometers, obtain recommendation results.
If the current positional information of S204d is positioned at outside resident residential area, resident perform region and non-resident inhabitation city, then from default recommendation information database, filters out the recommendation information of the higher close together of clicking rate in 5 kilometers, obtain recommendation results.
S205, in screen, show recommendation results.
Embodiment four
The embodiment of the present invention four additionally provides a kind of device of information recommendation, and described device is arranged in terminal, and as shown in Figure 6, the device 1 of described information recommendation comprises:
Target location area acquisition unit 11, for obtaining the current residing region, target location of user;
Way of recommendation determining unit 12, determines the way of recommendation for the region, described target location determined according to described target location area acquisition unit 11, and the described way of recommendation and the demand of user in region, described target location adapt;
Recommendation results determining unit 13, for the recommendation results that the described way of recommendation generated with described way of recommendation determining unit 12 is determined is corresponding;
Output unit 14, for exporting the described recommendation results that described recommendation results determining unit 13 generates.
Further, described target location area acquisition unit 11, comprising:
Current location obtains subelement 111, for obtaining the current location of described user;
Subelement 112 is determined in region, target location, if be arranged in preset position area for the described current location of described current location acquisition subelement 111 acquisition, then current residing preset position area is defined as region, target location.
Further, described way of recommendation determining unit 12 specifically for:
If region, described target location is resident residential area, then group purchase information, action message or amusement and recreation information in preferential recommendation first detection range;
If region, described target location is resident perform region, then the take-away information in preferential recommendation first detection range or cuisines information;
If region, described target location is non-resident inhabitation city, then sight spot information, public traffic information, hotel information or cuisines information in preferential recommendation first detection range.
Further, as shown in Figure 6, described device 1 also comprises:
Predeterminable area determining unit 15, for according to the track data of described user and/or click data, determines described resident residential area, described resident perform region and described non-resident inhabitation city.
Further, described way of recommendation determining unit 12 specifically for: if region, described target location is resident residential area, group purchase information, action message or amusement and recreation information then in preferential recommendation second detection range, described second detection range is greater than described first detection range.
Further, described output unit 14 specifically for:
In at least one viewing area, show the recommendation results corresponding at least one in described resident residential area, described resident perform region and described non-resident inhabitation city respectively.
Said apparatus can perform the method that any embodiment of the present invention provides, and possesses and performs the corresponding functional module of said method and beneficial effect.The not ins and outs of detailed description in the present embodiment, the method that can provide see the embodiment of the present invention.
Note, above are only preferred embodiment of the present invention and institute's application technology principle.Skilled person in the art will appreciate that and the invention is not restricted to specific embodiment described here, various obvious change can be carried out for a person skilled in the art, readjust and substitute and can not protection scope of the present invention be departed from.Therefore, although be described in further detail invention has been by above embodiment, the present invention is not limited only to above embodiment, when not departing from the present invention's design, can also comprise other Equivalent embodiments more, and scope of the present invention is determined by appended right.
Claims (12)
1. a method for information recommendation, is characterized in that, comprising:
Obtain the current residing region, target location of user;
Determine the way of recommendation according to region, described target location, the described way of recommendation and the demand of user in region, described target location adapt;
Generate the recommendation results corresponding with the described way of recommendation;
Export the described recommendation results generated.
2. the method for information recommendation according to claim 1, is characterized in that, the described current residing region, target location of acquisition user, comprising:
Obtain the current location of described user;
If described current location is arranged in preset position area, then current residing preset position area is defined as region, target location.
3. the method for information recommendation according to claim 1 and 2, is characterized in that, describedly determines the way of recommendation corresponding with region, described target location, comprising:
If region, described target location is resident residential area, then group purchase information, action message or amusement and recreation information in preferential recommendation first detection range;
If region, described target location is resident perform region, then the take-away information in preferential recommendation first detection range or cuisines information;
If region, described target location is non-resident inhabitation city, then sight spot information, public traffic information, hotel information or cuisines information in preferential recommendation first detection range.
4. the method for information recommendation according to claim 3, is characterized in that, before obtaining the current residing region, target location of user, described method also comprises:
According to track data and/or the click data of described user, determine described resident residential area, described resident perform region and described non-resident inhabitation city.
5. the method for information recommendation according to claim 3, is characterized in that, if region, described target location is resident residential area, then group purchase information, action message or amusement and recreation information in preferential recommendation first detection range, comprising:
If region, described target location is resident residential area, then group purchase information, action message or amusement and recreation information in preferential recommendation second detection range, described second detection range is greater than described first detection range.
6. the method for information recommendation according to claim 3, is characterized in that, the described described recommendation results exporting generation, comprising:
In at least one viewing area, show the recommendation results corresponding at least one in described resident residential area, described resident perform region and described non-resident inhabitation city respectively.
7. a device for information recommendation, is characterized in that, comprising:
Target location area acquisition unit, for obtaining the current residing region, target location of user;
Way of recommendation determining unit, determines the way of recommendation for the region, described target location determined according to described target location area acquisition unit, and the described way of recommendation and the demand of user in region, described target location adapt;
Recommendation results determining unit, for the recommendation results that the described way of recommendation generated with described way of recommendation determining unit is determined is corresponding;
Output unit, for exporting the described recommendation results that described recommendation results determining unit generates.
8. the device of information recommendation according to claim 7, is characterized in that, described target location area acquisition unit, comprising:
Current location obtains subelement, for obtaining the current location of described user;
Subelement is determined in region, target location, if be arranged in preset position area for the described current location of described current location acquisition subelement acquisition, then current residing preset position area is defined as region, target location.
9. the device of the information recommendation according to claim 7 or 8, is characterized in that, described way of recommendation determining unit specifically for:
If region, described target location is resident residential area, then group purchase information, action message or amusement and recreation information in preferential recommendation first detection range;
If region, described target location is resident perform region, then the take-away information in preferential recommendation first detection range or cuisines information;
If region, described target location is non-resident inhabitation city, then sight spot information, public traffic information, hotel information or cuisines information in preferential recommendation first detection range.
10. the device of information recommendation according to claim 9, is characterized in that, described device also comprises:
Predeterminable area determining unit, for according to the track data of described user and/or click data, determines described resident residential area, described resident perform region and described non-resident inhabitation city.
The device of 11. information recommendations according to claim 9, it is characterized in that, described way of recommendation determining unit specifically for: if region, described target location is resident residential area, group purchase information, action message or amusement and recreation information then in preferential recommendation second detection range, described second detection range is greater than described first detection range.
The device of 12. information recommendations according to claim 9, is characterized in that, described output unit specifically for:
In at least one viewing area, show the recommendation results corresponding at least one in described resident residential area, described resident perform region and described non-resident inhabitation city respectively.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510784856.7A CN105302916A (en) | 2015-11-16 | 2015-11-16 | Information recommendation method and device |
| PCT/CN2016/087693 WO2017084344A1 (en) | 2015-11-16 | 2016-06-29 | Information recommendation method and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510784856.7A CN105302916A (en) | 2015-11-16 | 2015-11-16 | Information recommendation method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105302916A true CN105302916A (en) | 2016-02-03 |
Family
ID=55200185
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510784856.7A Pending CN105302916A (en) | 2015-11-16 | 2015-11-16 | Information recommendation method and device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN105302916A (en) |
| WO (1) | WO2017084344A1 (en) |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105976279A (en) * | 2016-05-26 | 2016-09-28 | 成都正合地产顾问股份有限公司 | House choosing method |
| CN106202355A (en) * | 2016-07-05 | 2016-12-07 | 百度在线网络技术（北京）有限公司 | Weather service based on search engine recommends method, device and search engine |
| CN106405600A (en) * | 2016-12-21 | 2017-02-15 | 东莞市极酷机电科技有限公司 | Smart urban transportation system and using method thereof |
| WO2017084344A1 (en) * | 2015-11-16 | 2017-05-26 | 北京百度网讯科技有限公司 | Information recommendation method and apparatus |
| CN106846053A (en) * | 2017-01-19 | 2017-06-13 | 腾讯科技（深圳）有限公司 | A kind of recommendation method and device of the page advertisement that is polymerized |
| CN107092629A (en) * | 2017-01-18 | 2017-08-25 | 北京小度信息科技有限公司 | Recommend method and device |
| WO2018018247A1 (en) * | 2016-07-24 | 2018-02-01 | 金蕾 | Destination-based hotel reservation method and room reservation system |
| WO2018018203A1 (en) * | 2016-07-24 | 2018-02-01 | 严映军 | Method for pushing information during hotel and subway-based scenic spot screening, and screening system |
| WO2018018209A1 (en) * | 2016-07-24 | 2018-02-01 | 严映军 | Method for pushing patent information during scenic spot recommendation, and search system |
| WO2018018204A1 (en) * | 2016-07-24 | 2018-02-01 | 严映军 | Subway travel-based scenic spot screening method and screening system |
| CN107941234A (en) * | 2017-12-21 | 2018-04-20 | 广东欧珀移动通信有限公司 | Recommendation method, apparatus, storage medium and the mobile terminal of traffic path |
| CN108053305A (en) * | 2018-02-12 | 2018-05-18 | 北京小度信息科技有限公司 | The data processing method and device promoted applied to trade company |
| WO2018227380A1 (en) * | 2017-06-13 | 2018-12-20 | 深圳市伊特利网络科技有限公司 | Location-based method and system for recommending relaxation venue |
| CN109089314A (en) * | 2018-09-30 | 2018-12-25 | 哈尔滨工业大学（深圳） | A kind of indoor orientation method of the wifi sequence assistant GPS based on proposed algorithm |
| CN109194726A (en) * | 2018-08-17 | 2019-01-11 | 奇酷互联网络科技（深圳）有限公司 | Mobile terminal and information-pushing method, device |
| CN109584705A (en) * | 2017-09-29 | 2019-04-05 | 北京搜狗科技发展有限公司 | A kind of map shows method and apparatus |
| CN109697652A (en) * | 2018-06-29 | 2019-04-30 | 京东方科技集团股份有限公司 | A kind of Method of Commodity Recommendation and server in market |
| CN110347842A (en) * | 2019-05-21 | 2019-10-18 | 成都信息工程大学 | Knowledge mapping guide system based on intelligent wristwatch |
| CN110619027A (en) * | 2019-06-18 | 2019-12-27 | 北京无限光场科技有限公司 | House source information recommendation method and device, terminal equipment and medium |
| CN110782278A (en) * | 2019-10-15 | 2020-02-11 | 支付宝(杭州)信息技术有限公司 | Data processing method and device |
| CN110889029A (en) * | 2018-08-17 | 2020-03-17 | 北京京东金融科技控股有限公司 | City target recommendation method and device |
| WO2020052152A1 (en) * | 2018-09-13 | 2020-03-19 | 深圳壹账通智能科技有限公司 | User residence determination method, apparatus, and device, and computer readable storage medium |
| CN112101873A (en) * | 2020-09-21 | 2020-12-18 | 口碑(上海)信息技术有限公司 | Order data processing method, device and system |
| CN112445977A (en) * | 2020-12-14 | 2021-03-05 | 北京中迹体育管理有限公司 | Method, device and equipment for recommending event activities |
| CN115412389A (en) * | 2022-08-29 | 2022-11-29 | 深圳市酷开网络科技股份有限公司 | Message recommendation method and device, electronic equipment and readable storage medium |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111340522B (en) * | 2019-12-30 | 2024-03-08 | 支付宝实验室(新加坡)有限公司 | Resource recommendation method, device, server and storage medium |
| CN111402089A (en) * | 2020-02-12 | 2020-07-10 | 北京城市网邻信息技术有限公司 | Method and device for displaying service information |
| CN112653989A (en) * | 2020-12-14 | 2021-04-13 | 中国联合网络通信集团有限公司 | Broadband user positioning method, device, electronic equipment and storage medium |
| CN112801514A (en) * | 2021-01-30 | 2021-05-14 | 崔向棠 | Toilet planning recommendation method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102638A (en) * | 2013-04-02 | 2014-10-15 | 北京百度网讯科技有限公司 | Position information based push method, push system and push device |
| CN104166700A (en) * | 2014-08-01 | 2014-11-26 | 百度在线网络技术（北京）有限公司 | Search term recommendation method and device |
| CN104240163A (en) * | 2014-09-28 | 2014-12-24 | 百度在线网络技术（北京）有限公司 | Intelligent district recommendation method and intelligent district recommendation device |
| CN104239466A (en) * | 2014-09-02 | 2014-12-24 | 百度在线网络技术（北京）有限公司 | Method and device for recommending user item and equipment |
| CN104853229A (en) * | 2015-05-11 | 2015-08-19 | 天脉聚源(北京)传媒科技有限公司 | Program pushing method and device thereof |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101917664B (en) * | 2010-08-10 | 2014-12-24 | 华为终端有限公司 | Information providing method and device and mobile terminal |
| CN103164500A (en) * | 2012-05-25 | 2013-06-19 | 深圳市金立通信设备有限公司 | System and method for displaying different search results based on user positions |
| US9195721B2 (en) * | 2012-06-04 | 2015-11-24 | Apple Inc. | Mobile device with localized app recommendations |
| US9125000B2 (en) * | 2012-12-14 | 2015-09-01 | Intel Corporation | Location-aware mobile application management |
| CN104008184A (en) * | 2014-06-10 | 2014-08-27 | 百度在线网络技术（北京）有限公司 | Method and device for pushing information |
| CN105302916A (en) * | 2015-11-16 | 2016-02-03 | 北京百度网讯科技有限公司 | Information recommendation method and device |
-
2015
- 2015-11-16 CN CN201510784856.7A patent/CN105302916A/en active Pending
-
2016
- 2016-06-29 WO PCT/CN2016/087693 patent/WO2017084344A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102638A (en) * | 2013-04-02 | 2014-10-15 | 北京百度网讯科技有限公司 | Position information based push method, push system and push device |
| CN104166700A (en) * | 2014-08-01 | 2014-11-26 | 百度在线网络技术（北京）有限公司 | Search term recommendation method and device |
| CN104239466A (en) * | 2014-09-02 | 2014-12-24 | 百度在线网络技术（北京）有限公司 | Method and device for recommending user item and equipment |
| CN104240163A (en) * | 2014-09-28 | 2014-12-24 | 百度在线网络技术（北京）有限公司 | Intelligent district recommendation method and intelligent district recommendation device |
| CN104853229A (en) * | 2015-05-11 | 2015-08-19 | 天脉聚源(北京)传媒科技有限公司 | Program pushing method and device thereof |
Cited By (32)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017084344A1 (en) * | 2015-11-16 | 2017-05-26 | 北京百度网讯科技有限公司 | Information recommendation method and apparatus |
| CN105976279A (en) * | 2016-05-26 | 2016-09-28 | 成都正合地产顾问股份有限公司 | House choosing method |
| CN106202355A (en) * | 2016-07-05 | 2016-12-07 | 百度在线网络技术（北京）有限公司 | Weather service based on search engine recommends method, device and search engine |
| WO2018018204A1 (en) * | 2016-07-24 | 2018-02-01 | 严映军 | Subway travel-based scenic spot screening method and screening system |
| WO2018018247A1 (en) * | 2016-07-24 | 2018-02-01 | 金蕾 | Destination-based hotel reservation method and room reservation system |
| WO2018018203A1 (en) * | 2016-07-24 | 2018-02-01 | 严映军 | Method for pushing information during hotel and subway-based scenic spot screening, and screening system |
| WO2018018209A1 (en) * | 2016-07-24 | 2018-02-01 | 严映军 | Method for pushing patent information during scenic spot recommendation, and search system |
| CN106405600A (en) * | 2016-12-21 | 2017-02-15 | 东莞市极酷机电科技有限公司 | Smart urban transportation system and using method thereof |
| CN107092629A (en) * | 2017-01-18 | 2017-08-25 | 北京小度信息科技有限公司 | Recommend method and device |
| CN106846053A (en) * | 2017-01-19 | 2017-06-13 | 腾讯科技（深圳）有限公司 | A kind of recommendation method and device of the page advertisement that is polymerized |
| WO2018227380A1 (en) * | 2017-06-13 | 2018-12-20 | 深圳市伊特利网络科技有限公司 | Location-based method and system for recommending relaxation venue |
| CN109584705B (en) * | 2017-09-29 | 2021-09-17 | 北京搜狗科技发展有限公司 | Map display method and device |
| CN109584705A (en) * | 2017-09-29 | 2019-04-05 | 北京搜狗科技发展有限公司 | A kind of map shows method and apparatus |
| CN107941234A (en) * | 2017-12-21 | 2018-04-20 | 广东欧珀移动通信有限公司 | Recommendation method, apparatus, storage medium and the mobile terminal of traffic path |
| CN108053305A (en) * | 2018-02-12 | 2018-05-18 | 北京小度信息科技有限公司 | The data processing method and device promoted applied to trade company |
| CN108053305B (en) * | 2018-02-12 | 2021-07-30 | 北京星选科技有限公司 | Data processing method and device applied to merchant promotion |
| CN109697652A (en) * | 2018-06-29 | 2019-04-30 | 京东方科技集团股份有限公司 | A kind of Method of Commodity Recommendation and server in market |
| US11449919B2 (en) | 2018-06-29 | 2022-09-20 | Beijing Boe Technology Development Co., Ltd. | Commodity recommendation method and commodity recommendation device |
| CN109194726A (en) * | 2018-08-17 | 2019-01-11 | 奇酷互联网络科技（深圳）有限公司 | Mobile terminal and information-pushing method, device |
| CN110889029B (en) * | 2018-08-17 | 2024-04-05 | 京东科技控股股份有限公司 | Urban target recommendation method and device |
| CN110889029A (en) * | 2018-08-17 | 2020-03-17 | 北京京东金融科技控股有限公司 | City target recommendation method and device |
| WO2020052152A1 (en) * | 2018-09-13 | 2020-03-19 | 深圳壹账通智能科技有限公司 | User residence determination method, apparatus, and device, and computer readable storage medium |
| CN109089314A (en) * | 2018-09-30 | 2018-12-25 | 哈尔滨工业大学（深圳） | A kind of indoor orientation method of the wifi sequence assistant GPS based on proposed algorithm |
| CN110347842B (en) * | 2019-05-21 | 2020-07-10 | 成都信息工程大学 | Knowledge map tour guide system based on intelligent wristwatch |
| CN110347842A (en) * | 2019-05-21 | 2019-10-18 | 成都信息工程大学 | Knowledge mapping guide system based on intelligent wristwatch |
| CN110619027B (en) * | 2019-06-18 | 2022-10-21 | 北京无限光场科技有限公司 | House source information recommendation method and device, terminal equipment and medium |
| CN110619027A (en) * | 2019-06-18 | 2019-12-27 | 北京无限光场科技有限公司 | House source information recommendation method and device, terminal equipment and medium |
| CN110782278A (en) * | 2019-10-15 | 2020-02-11 | 支付宝(杭州)信息技术有限公司 | Data processing method and device |
| CN112101873A (en) * | 2020-09-21 | 2020-12-18 | 口碑(上海)信息技术有限公司 | Order data processing method, device and system |
| CN112445977A (en) * | 2020-12-14 | 2021-03-05 | 北京中迹体育管理有限公司 | Method, device and equipment for recommending event activities |
| CN115412389A (en) * | 2022-08-29 | 2022-11-29 | 深圳市酷开网络科技股份有限公司 | Message recommendation method and device, electronic equipment and readable storage medium |
| CN115412389B (en) * | 2022-08-29 | 2023-12-05 | 深圳市酷开网络科技股份有限公司 | Message recommendation method and device, electronic equipment and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017084344A1 (en) | 2017-05-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105302916A (en) | Information recommendation method and device | |
| CN104731917B (en) | A kind of recommendation method and device | |
| CN106209935B (en) | Information processing method, terminal and server | |
| CN106657202B (en) | Method and system for intelligently pushing information | |
| EP1872294B1 (en) | Virtual earth | |
| US20120221363A1 (en) | System and method for displaying hotel information | |
| CN104504064A (en) | Information recommendation method and device | |
| CN107092623B (en) | Interest point query method and device | |
| CN105260431A (en) | Electronic map based information acquisition method and apparatus | |
| CN101784005A (en) | Method for retrieving point of interest and terminal thereof | |
| US10554260B2 (en) | User terminal device and information providing method using the same | |
| CN105227448A (en) | A kind of information-pushing method and system | |
| US20150276423A1 (en) | Methods and systems for automatically providing point of interest information based on user interaction | |
| CN104915914A (en) | Method and device for searching outlets | |
| JP2014178724A (en) | Coupon providing method, coupon providing server, and coupon providing system | |
| CN103185581A (en) | Information prompting device and prompting method for POI search results | |
| CN104320848B (en) | The system and method for indoor positioning is realized based on cloud computing | |
| CN112633774A (en) | Intelligent homeland space planning auxiliary compilation method and system | |
| CN104918210A (en) | Method and apparatus for presenting information to be issued | |
| KR20140079643A (en) | Computer readable recording medium storing, system and method for providing shopping service using map information | |
| Samuel et al. | Smart indoor navigation and proximity advertising with android application using BLE technology | |
| JP6037949B2 (en) | Content publishing system, user terminal, server device, content publishing method, content publishing program | |
| CN106776993B (en) | Path recommendation method and system based on time sequence constraint activity intention | |
| CN112100520A (en) | POI information pushing method and device, terminal equipment and storage medium | |
| JP2015090718A (en) | Apparatus, method, and computer program for providing search service |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160203 |