CN106096785A - A kind of circuit method for customizing based on stroke planning, system - Google Patents
A kind of circuit method for customizing based on stroke planning, system Download PDFInfo
- Publication number
- CN106096785A CN106096785A CN201610421251.6A CN201610421251A CN106096785A CN 106096785 A CN106096785 A CN 106096785A CN 201610421251 A CN201610421251 A CN 201610421251A CN 106096785 A CN106096785 A CN 106096785A
- Authority
- CN
- China
- Prior art keywords
- stroke
- poi
- label
- user
- fragment
- 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
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
Abstract
The invention discloses circuit method for customizing based on stroke planning and system, method comprises the steps: to capture the POI data obtaining in WEB server, and finds the key word in described POI data；Build tag library according to the dimension arranged, set up the corresponding relation of described key word and user preference；Obtain stroke storehouse according to user's stroke, then described stroke storehouse is decomposed into stroke fragment, then the POI attribute tags comprised in described stroke fragment is carried out marking obtain user preference score, obtain the path of described stroke fragment according to the score of described user preference；By POI combinational algorithm, obtain the combination of paths in described stroke fragment customizing circuit.The present invention passes through POI attribute and label, recommended line fragment combination become, and recommends to meet the stroke of oneself personalized travelling preference for user.
Description
Technical field
The present invention relates to layout of roads field, particularly to a kind of circuit method for customizing based on stroke planning, system.
Background technology
Customization tourism, is the demand according to traveller, takes the design carrying out tourism action flow process with traveller as the leading factor.Tourism
Person can be according to the hobby of oneself, the travel mode of demand customization stroke, it is possible to bring the most personalized service to traveller.Ratio
As, for adventruous visitor, design the trip of 007 new Bond role's actual experience；For the men and women of unmarried trip, design
Go out to push away the travel of Sha Wengshi Great Britain romance friend-making；For the colony of whole family's trip, design father and go the parent-offspring at Britain station where
Stroke.
Customization tourist need relies on good tourism planning, and it is the most excellent that the method for designing of travelling route passes through multiple means
Change, than if any practical situation based on tourist resources, means of transportation, infrastructure and travel reception facility etc. in conjunction with work as
Travelling route is planned by the information that ground tourism planning teacher provides.The most such as, word frequency co-occurrence is utilized based on network data collection
Method network attention metrization that sight spot is combined to assist the sight spot combination selection of travelling route.Above-mentioned mode all cannot
Realize user's customization of tourism trip, it is impossible to the clear and definite demand combining user provides accurate travel route.
Point of interest (POI) includes that user can wish the various destinatioies found, or is when going out near being in or remote
When leaving home to go on a tour, such as hotel, restaurant, gas station, all kinds of market, rest area, roadside, and such as church or sight spot.POI number
According to generally comprising: neighbouring sight spot, shopping, food and drink, hotel etc., Chinese and English title, address, longitude and latitude ... and the information of description is such as:
General view, bright spot, user comment ....
Summary of the invention
The technical problem to be solved in the present invention is, by POI attribute and label, recommendation line fragment combination become
Road, recommends to meet the stroke of oneself personalized travelling preference for user.
Solve above-mentioned technical problem, the invention provides a kind of circuit method for customizing based on stroke planning, including as follows
Step:
Capture the POI data obtaining in WEB server, and find the key word in described POI data；
Build tag library according to the dimension arranged, set up the corresponding relation of described key word and user preference；
Obtain stroke storehouse according to user's stroke, then described stroke storehouse is decomposed into stroke fragment, then to described stroke sheet
The POI attribute tags comprised in Duan carries out marking and obtains user preference score, obtains described according to the score of described user preference
The path of stroke fragment；
By POI combinational algorithm, obtain the combination of paths in described stroke fragment customizing circuit.
Further, the key word in described POI data includes, the classification of POI and POI attribute item of all categories, described POI
Classification be: sight spot, shopping, food and drink, hotel；Described POI attribute item is, is suitable for old man, is suitable for child, boy student's present, schoolgirl
Present, Japanese, Chinese meal, free wifi, Free parking.
Further, described POI data, by natural language processing technique analysis acquire comment based on POI and
Describing content, the word that described comment is delivered according to user obtains, and described description content is word, picture or video.
Further, described tag library at least includes: humane label, label of doing shopping, seabeach label, cuisines label, self-driving
Label, outdoor experience label, natural label, photography tag, performance amusement label, building label, history tab, parent-offspring's label,
Honeymoon label, old man's label, romantic label, Michelin's label, nice label, overflow label, lovers' label, the big mark of quantity of motion
Sign；User preference is obtained by the label correspondence of classification in described tag library.
Further, described key word with the corresponding relation of user preference is: the corresponding multiple keys of each user preference
Word, each key word carries out various dimensions division to described user preference.
Further, described acquisition user's stroke at least includes:
{ destination that user selects, the city of interpolation, departure time selected }, the destination that described user selects according to
Being divided into home and overseas country level in world wide, the city of described interpolation is city level, described select when setting out
Between be Beijing time.
Further, described acquisition user's stroke farther includes: { travelling natural law, preference }, described travelling natural law is trip
Row started to the time terminated, and described preference is customized information.
Further, the method the POI attribute tags in described stroke fragment given a mark particularly as follows:
By each POI attribute bias score value in stroke fragment, carry out score value and add up, will cumulative after the score value that obtain as
Stroke fragment preference score value.
Further, when described user's stroke is divided into stroke fragment, at least generate following underlying table:
Poi_scorevalue poi preference score value table, line_day_tagscore stroke fragment score value table, line_
Citydays plays in city natural law allocation list, line_cityday_recommend city recommended configuration table, line_cityhot
City temperature is played natural law allocation list, line_citylevel city level allocation list, line_tags preference table.
The invention also discloses circuit custom-built system based on stroke planning, including: WEB data extractor, POI data are stored up
Storage, POI tag library, user's stroke unit, stroke slice unit, scoring unit, path generator, customization circuit maker,
Described WEB data extractor, in order to capture the POI data obtaining in WEB server；Described POI data bin
In order to deposit the key word in the POI data grabbed；Described POI tag library, in order to set up the right of key word and user preference
Should be related to；Described user's stroke unit, in order to obtain user's stroke；
Described stroke slice unit, in order to be divided into stroke fragment by described user's stroke；Described scoring unit, in order to basis
In described stroke fragment, the POI attribute tags in described stroke fragment is given a mark by the preference of user in described tag library；Institute
State path generator, in order to obtain the path of described stroke fragment according to the score of described POI attribute tags；Described customization circuit
Maker, in order to by POI combinational algorithm, obtains the combination of paths in described stroke fragment customizing circuit
Beneficial effects of the present invention:
1) due to the circuit method for customizing based on stroke planning in the present invention, capture including step and obtain WEB server
In POI data, and find the key word in described POI data；Build tag library according to the dimension arranged, set up described key
Word and the corresponding relation of user preference；Obtain stroke storehouse according to user's stroke, then described stroke storehouse be decomposed into stroke fragment,
Again the POI attribute tags comprised in described stroke fragment is carried out marking and obtain user preference score, according to described user preference
Score obtain the path of described stroke fragment；
By POI combinational algorithm, obtain the combination of paths in described stroke fragment customizing circuit, by setting up in data
Storehouse is extracted that obtain by WEB server and combines the POI attribute and label planned by tourism planning teacher, by fragment combination
The recommended line become, recommends to meet the stroke of oneself personalized travelling preference, thus combines clearly needing of user for user
The accurate travel route of offer is provided.
2) owing to having fully taken into account the preference of user, by setting up the corresponding relation of described key word and user preference,
The preference of user can be carried out fine division.Meanwhile, described user's stroke is divided into stroke fragment, cooks up stroke fragment
Path, it is possible to carry out route appointment and the distribution of time of playing accurately.
3) due to when user's stroke is divided into stroke fragment, establish poi_scorevalue poi preference score value table,
Line_day_tagscore stroke fragment score value table, line_citydays city are played natural law allocation list, line_cityday_
Recommend city recommended configuration table, line_cityhot city temperature are played natural law allocation list, line_citylevel city
Level allocation list, line_tags preference table；Wherein preference score value table is in order to record the corresponding score value corresponding to the preference of user；
Stroke fragment score value table is in order to carry out segmentation to the stroke of user；Natural law allocation list is played in order to the sky of playing for user in city
Number mates；City recommended configuration table is in order to carry out intelligent recommendation to user；City temperature plays natural law allocation list in order to auxiliary
Help recommendation of playing.Can according to the preference of user in described stroke fragment in described tag library to the POI in described stroke fragment
Attribute tags is given a mark, and sets up complete stroke clip path according to the height of score.
4) owing to POI attribute item principal concern is set to, it is suitable for old man, is suitable for child, boy student's present, Nv Shengli
Thing, Japanese, Chinese meal, free wifi, Free parking, it is possible to greatly facilitate user and find applicable auxiliary item of playing when playing
Mesh, allows user have more specific aim when playing.
5) owing to POI data being acquired by big data, specifically, obtained by natural language processing technique analysis
Obtaining comment based on POI and describe content, the word that described comment is delivered according to user obtains, and described description content is literary composition
Word, picture or video.Can Erecting and improving and objectively label and user preference such that it is able to the travelling combining user needs
Ask and recommend travel route accurately.
Accompanying drawing explanation
Fig. 1 is circuit method for customizing schematic flow sheet based on stroke planning in one embodiment of the invention.
Fig. 2 is the POI classification schematic diagram in Fig. 1.
Fig. 3 is the POI attribute item schematic diagram in Fig. 1.
Fig. 4 is that the POI data in Fig. 1 obtains mode schematic diagram.
Fig. 5 is that the tag library in Fig. 1 sets up schematic diagram.
Fig. 6 is the schematic diagram being obtained user's stroke by stroke fragment in Fig. 1.
Fig. 7 is the circuit custom-built system structural representation based on stroke planning in one embodiment of the invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment, and reference
Accompanying drawing, the present invention is described in more detail.
Fig. 1 is circuit method for customizing schematic flow sheet based on stroke planning in one embodiment of the invention.
Circuit method for customizing based on stroke planning in the present embodiment, the flow process including following:
Step S100 captures the POI data obtaining in WEB server, and finds the key word in described POI data；Capture
The mode of the POI data in described WEB server includes but not limited to, the mode of web crawlers.Described POI data include but not
It is limited to, neighbouring sight spot, shopping, food and drink, hotel etc., Chinese and English title, address, longitude and latitude ... and the information of description is such as: general view, bright
Point, user comment etc..Key word in described POI data, includes but not limited to: cuisine variety street/night market, public house/bar/occupy wine
Room, coffee-house, fairground, flea market, shopping street/commercial circle, shopping center, buy article of everyday use, museum, seafood, bar, bread
Cake, fashionable shopping, local featured delicious food, brunch, perform place, lunch, Theme activity day, dessert, vegetarian diet, building, record
Read product, Music Day, park/botanical garden, visitor place to go, church, western-style food, beefsteak, sushi, Japanese cuisine, go sightseeing, sight seeing route,
Pizza, fashion style, kitchen, barbecue, dress ornament/shoes and hats, school, safe formula cooking, island, odeum/exhibition center, art culture
Joint/exhibition, Thai food, food, square, monument/sculpture/fountain, dinner palace/castle, temple, former residences of celebrities/memorial museum,
Night, storekeeper's topic, was suitable on foot, national park, ice cream, lookout terrace, artifacts, sports, present of working together, famous brand, early
Meal, luxurious, holiday village, aquatic sports, French, historic ruins, theme park/recreation ground/folk customs village, fast food, lovers, romantic,
It is suitable for carrying child, parent-offspring, is suitable for youngster, teahouse and water bar, be suitable for child, gourmet festival, be suitable for photography, Michelin's star meal
The Room, Chinese meal, natural views, block, economical and practical, zoo, English, gift shop, commercial affairs, par, swimming pool, Japanese, it is suitable for honey
Month, jeweler's shop, Mediterranean, it is suitable for riding, stadiums, quantity of motion is big, Italian dishes, enchilada, French food, the inn people
Place, is suitable for old man, Italian type, books and Audio-Video Shop, graveyard, small town, bridge, landmark, party, Islamic, is suitable for the whole family,
Child's present, boy student's present, schoolgirl's present, cinema/Karaoke, household, fine work, at a low price, and spa, cosmetics, Outlets, moves back
Tax/duty-free shop's cigarette/drinks is sold, small item, cost performance.
In certain embodiments, described POI data, acquire based on POI by natural language processing technique analysis
Comment and description content, the word that described comment is delivered according to user obtains, such as can be from " overseas trip ", " hornet nest tourism
Guide ", " swimming net thoroughly ", " come this trip travelling net ", " travel with partners's attack strategy " etc., the text reviews information that user delivers obtains
POI related data.Described description content is to relate to the pass in tourist attractions, city etc. in word, picture or video, such as word
Keyword, the photo of playing issued after travelling, the travelling screen etc. of shooting.
Step S101 builds tag library according to the dimension arranged, and sets up the corresponding relation of described key word and user preference；
The dimension of described setting includes but not limited to, user's trip mode dimension, user play natural law dimension, user city interested dimension
Degree, user like cuisines dimension, user to play place dimension etc..User is obtained by the label correspondence of classification in described tag library
Preference.
In certain embodiments, when setting up the corresponding relation of described key word and user preference, multiple key words can
A corresponding user preference, multiple user preferences can include multiple key word.Such as key word Bread and Cakes, safe formula cooking,
Beefsteak, sushi, corresponding user preference cuisines.
In certain embodiments, the tag library of described structure is relational database, uses and inserts (insert), deletes
(delete), amendment (update) carries out the renewal of tag database.
In certain embodiments, described key word is the biggest with the dense degree of the corresponding relation of user preference, then corresponding pass
It is the most accurate.
In certain embodiments, tag library at least includes: humane label, label of doing shopping, seabeach label, cuisines label, from
Drive label, outdoor experience label, natural label, photography tag, performance amusement label, build label, history tab, Qin Zibiao
Signing, honeymoon label, old man's label, romantic label, Michelin's label, nice label, overflow label, lovers' label, and quantity of motion is big
Label.
Step S102 obtains stroke storehouse according to user's stroke, then described stroke storehouse is decomposed into stroke fragment, then to institute
State the POI attribute tags comprised in stroke fragment to carry out marking and obtain user preference score, according to the score of described user preference
Obtain the path of described stroke fragment.
In certain embodiments, by each POI attribute bias score value in stroke fragment, carry out score value and add up, will be cumulative
After the score value that obtains as stroke fragment preference score value.
In certain embodiments, described stroke fragment can be according to playing natural law or the time of playing carries out segmentation.
In certain embodiments, according to the understanding degree of depth to destination of user, it is referred to stroke planning teacher for mesh
The understanding on ground, select qualified emphasis POI attribute tags to give a mark.
In certain embodiments, according to the distance between emphasis POI attribute, preliminary planning is suitable for the multiple POI of trip on the one
Combination.
Step S103 passes through POI combinational algorithm, obtains the combination of paths in described stroke fragment customizing circuit.
In certain embodiments, described customization circuit includes but not limited to, comprises user's request and by fragment stroke group
The travelling route record closed.
In certain embodiments, described POI combination is calculated and is at least included following POI algorithmic approach:
It is first depending on the destination of user's input, city, play time and preference information.By destination, city and trip
Play natural law and automatically distribute the natural law of most preferably playing in each city.
Such as, destination is selected: Japan
Selection city: Tokyo, capital of a country, Osaka
Selection is played the time: 8 days
Select preference: humane, shopping, cuisines
Specifically, the natural law rule of most preferably playing distributing each city includes but not limited to: total basis of time city of playing
The optimal natural law in city (on purpose city be all configured with natural law of most preferably playing) distribution, unnecessary go out natural law according to city temperature
(having temperature to sort in the city under each destination) divides equally.
Then, the preference selected by city natural law and user after distributing the natural law of playing in each city recommends stroke；Its
In, tour schedule is made up of multiple fragments, and a fragment is one day；
As: Tokyo (4 days), capital of a country (2 days), Osaka (2 days)
Logical algorithm: take all fragments under each city, calculates preference (humanity, shopping, cuisines) weight and (meets preference
Total score value) the highest with sky for unit value.
Finally, stroke is become to recommend user the tourism fragment combination under all cities
As: Tokyo > capital of a country > Osaka humanity > shopping > cuisines stroke
Hourage: on 05 26th, 2016--on 06 02nd, 2016
Natural law: 8 days
Preference: humane, shopping, cuisines
Stroke recommendation results:
Tokyo (totally 4 days) day1 ... day4
Capital of a country (totally 2 days) day1, day2
Osaka (totally 2 days) day1, day2
Wherein day is fragment, is made up of multiple POI data, and the corresponding each POI of score value has different preferences and power
Weight.
By above-mentioned steps S100～the circuit method for customizing based on stroke planning of S103, it is possible to recommend to meet for user
The stroke of oneself personalized travelling preference, thus the clear and definite demand combining user provides accurate travel route.
Preferably, in certain embodiments, when not selecting city to process, then the information of user's input is: country+time
+ preference；Then by the time (corresponding natural law) selected, playing in natural law allocation list in city, (such as, preference score value table, stroke fragment are divided
Play natural law allocation list, city recommended configuration table, city temperature of value table, city is played natural law allocation list, city level allocation list)
Obtain the distribution natural law of playing in each city, recommending, by city distribution natural law, the fragment that preference score value is high.
Preferably, in certain embodiments, when the information of user's input it is: country+city+preference；Then according to Urban Thermal
Degree natural law allocation list of playing obtains corresponding city and plays natural law, is recommending, by city distribution natural law, the fragment that preference score value is high.
Preferably, user preference includes following project:
Humane: to cover relatively wide in traditional sense, include building, art.Building: there is architectural feature at sight spot, to build skill
Art is the sight spot of attraction.Such as, ancient building, pyramid, Eiffel Tower, Great Wall etc..Landscape: refer in particular to the scape that natural views are outstanding
Point, such as, Jiu Zhaigou, Qinghai Lake etc..Art: refer to sight spot performance attribute, including literature, calligraphy, drawing, sculpture, music, dance more
Step, drama, film, Chinese folk art forms etc., occur in museum exhibit more, such as, the various Art Museums, odeum, theater, sculpture gallery
Deng.Island: island destination, by water ring around, such as, Mauritius, Seychelles, Maldives.Classical: the warp that locality must be swum
Allusion quotation, the most popular POI such as, the Forbidden City, Great Wall.National park: a kind of form of nature reserve area, sight spot is introduced and can be inquired
This attribute such as, Yellowstone National Park, USA, Banff National Park etc..World heritage: by UNESCO and generation
The mankind that legacy committee of boundary confirms are rare, current irreplaceable wealth, typically can find.Such as, Silk Road, new
Boundary Tianshan Mountains etc..
Each POI Annual distribution information of the accessed frequency within the first appointment time is determined according to described POI data；
According to described visitation frequency and described Annual distribution information, determine access temperature；The described analysis according to described POI data is tied
Fruit is the POI data of { destination that user selects, the city of interpolation, the departure time selected } in obtaining user's stroke.
Obtaining { travelling crowd, natural law of travelling, the preference } in user's stroke, described travelling crowd is travelling number, described travelling natural law
Starting to the time terminated for travelling, described preference is customized information.
Fig. 2 is the POI classification schematic diagram in Fig. 1.
The key word in described POI data in the present embodiment includes, the classification of POI and POI attribute item of all categories, institute
The classification stating POI is: sight spot 200, shopping 201, food and drink 202, hotel 203；Sight spot 200 includes but not limited to, museum, wide
Field, small town, zoo, church, temple etc..Shopping 201 includes but not limited to, jeweler's shop, Outlets, gift shop, books and sound
As goods shop, flea market etc..Food and drink 202 includes but not limited to, dessert, barbecue, Korea S's cooking, western-style food, Michelin's star meal
The Room etc..
Fig. 3 is the POI attribute item schematic diagram in Fig. 1.
Described POI attribute item in the present embodiment is, is suitable for old man 214, is suitable for child 212, boy student's present 215, female
Raw present 213, Japanese 218, Chinese meal 217, free wifi216, Free parking 211.
In certain embodiments, the classification of described POI is classified according to such as following table:
The preference of user that the classification of POI is corresponding, carries out exhaustive division to the preference of user:
Specifically, building: there is architectural feature at sight spot, the sight spot with the art of architecture as attraction.Such as. pyramid, Ai Feier
Steel tower etc..
Square: tourist famous-city is local with square ending name, and square refers to the place that area is wide, refers in particular in city
Wide place.It is urban road hinge, is that in city, people carry out social activity or the traffic activities such as politics, economy, culture
Space, it is common that the place that major pedestrian movement, wagon flow are collecting and distributing.Such as, Paris Place de la Concorde, Trafalgar Square, London.
Landmark: the basic feature of landmark building is exactly that people can come with simplest form and minimum stroke
Arouse the memory for it, once seeing that it can associate its city, place or even whole country, such as, Sydney Opera House,
Paris Eiffel Tower, the leaning tower of Piza, Tokyo Tower, New York Statue of Liberty
Natural views: refer in particular to the sight spot that natural views are outstanding, such as, Norway fyord, Highland etc..
Mechanism: refer to educational, office property, the government building of locality.Such as, Sydney University, Paris City Hall.
Theme park/recreation ground/folk customs village: tool integrates many recreations, leisure key element and service reception facility
Modern tourism destination, big multi-destination with park, recreation ground, folk customs village, holiday village ending.Such as, Disney amusement park,
Universal studio, folk customs village, Jizhou Island cities and towns.
Small town: a piece of smaller region, but it is not sufficient to regard city as, there is tourism speciality.Such as, New Zealand queen
Paradise town, town, the German Han Duofu landscape small town of Adelaide, AUS.
Cuisines: brunch, dinner: for local characteristic, the recommendation in popular dining room, the time of the dining being more suitable for, possible
It is local characteristic breakfast, super fiery lunch and the dinner etc. enjoying the most U.S. night scene.Such as, English Buffet Breakfast Pret-a-
MangerGoodEvenings (breakfast), Benoit tradition French Restaurant (lunch, dinner).
Small item: dealing exclusively in the market of small item dealing, therein of a great variety, hotel owner is the most a lot.Because it is numerous
Small item dealing concentrates on this and is formed.Such as, Hu Zhiming An Dong market, golden-rimmed Russia markets, golden-rimmed central market.
Supermarket: refer to manage the large-scale synthesis retailer of food, family daily necessity, food in the free mode of client
?.Such as, Wal-Mart, Carrefour, Tesco.
Electronic product: to sell market or the shop of electronic product.Such as, AppleStore, Australia
Dicksmith, Britain Argos.
Performance place: carry out some entertainment places, including various theaters, arenas etc..Such as, Sydney Opera House, human relations
Honest grand theater.
Sight seeing route: refer to the tourist activity route designed for traveller.Can be by visit day, the content of tourist activity and property
Matter, the taken advantage of vehicles etc. are classified.Such as, the optimal tour of Louvre Palace, the optimal tour of British Museum.
Theme activity day: refer mainly to the local activity of festival and special event, carnival etc..Such as, Thailand's water lantern festival, the Music Day,
Berlin film fsetival.
Go sightseeing: local sightseeing tours, visit the scenic spots and historical sites, browse the honourable scene of the Nature on the way, refer mainly to locality
One-day tour bus, trip etc. of going to sea.Such as, go to sea and see that whale trip, Paris touring bus, Australia's Keynes's Great Barrier Reef are seen in Sydney
Light flies.
Fig. 4 is that the POI data in Fig. 1 obtains mode schematic diagram.
In the present embodiment, described POI data, acquire based on A1 user by natural language processing technique analysis
The comment of POI and describe content, the word that described comment is delivered according to user obtains, described description content be word, picture or
Person's video.Also including, B stroke planning Shi Jinhang stroke planning is recommended, when being modified us on A2 user's stroke to recommending
Have stroke planning teacher's review mechanism, can typing stroke storehouse by the stroke of examination & verification.
In certain embodiments, obtain POI data by WEB server 300, and deposit to background server 301.
Fig. 5 is that the tag library in Fig. 1 sets up schematic diagram.
In the present embodiment, described tag library at least includes: humane label 410, label 411 of doing shopping, seabeach label 412,
Cuisines label 413, self-driving label 414, outdoor experience label 415, natural label 414, photography tag 417, performance amusement label
418, building label 419, history tab 400, parent-offspring's label 401, honeymoon label 402, old man's label 403, romantic label 404,
Michelin's label 405, nice label 406, overflow label 407, lovers' label 408, the big label of quantity of motion 409；By described mark
Sign the label correspondence of classification in storehouse 40 and obtain user preference.
Fig. 6 is the schematic diagram being obtained user's stroke by stroke fragment in Fig. 1.
In the present embodiment, obtain user's stroke 501 by stroke fragment 500 and can obtain poi_ according to following underlying table
Scorevalue poi preference score value table, line_day_tagscore stroke fragment score value table, the trip of line_citydays city
Play natural law allocation list, line_cityday_recommend city recommended configuration table, line_cityhot city temperature play sky
Number allocation list, line_citylevel city level allocation list, line_tags preference table.
When obtaining user's stroke by stroke fragment, according to being first depending on the destination that user inputs, city, play the time
And preference information.The POI scoring results and line_ given a mark is obtained by poi_scorevalue poi preference score value table
Day_tagscore stroke fragment score value table obtains the marking value of each stroke in stroke fragment, line_citydays city
Natural law allocation list of playing obtains total optimal natural law in basis of time city of playing, by line_cityday_recommend city
Recommended configuration table obtain unnecessary go out natural law according to city temperature
Preferably, destination, city and natural law of playing distribute the natural law of most preferably playing in each city automatically.By total trip
Play basis of time city optimal natural law (on purpose city be all configured with natural law of most preferably playing) distribution, unnecessary go out natural law
Divide equally according to city temperature (having temperature to sort in the city under each destination).
Then, the preference selected by city natural law and user after distributing the natural law of playing in each city recommends stroke；
Taking all fragments under each city, weight (divide by the total meeting preference to calculate preference (humanity, shopping, cuisines)
Value) the highest with sky for unit value.
Finally, become stroke to recommend user the tourism fragment combination under all cities, obtain stroke recommendation results.
To the Back ground Information processing mode of stroke fragment 500 it is in certain embodiments:
Fragment big traffic is peeled off, and such as data base is added " head ", " tail " field, by two words of correspondence POI data dislocation
Section；
Segment effectiveness correction, such as deletes hotel information and repairs hotel's POI；
Number of slices is supplemented, and is supplemented to meet requirement by the number of slices in city according to line_tags segmentation preference table.
In certain embodiments, POI combinational algorithm includes: based on each preference score value of POI in segment, carries out score value and adds up,
Score value after Lei Jia is segment preference score value, it is preferable that each fragment needs to remove and repeats poi)
In certain embodiments, when city preference lazy weight, the preferential preference stroke fragment using algorithm to calculate,
Insufficient section is supplemented by the stroke fragment of high ranking, generates stroke；Stroke fragment 500 rank value is by each preference score value accumulation calculating
Obtain.
Fig. 7 is the circuit custom-built system structural representation based on stroke planning in one embodiment of the invention.
Circuit custom-built system 60 based on stroke planning in the present embodiment, including: WEB data extractor 600, POI number
According to bin 601, POI tag library 602, user's stroke unit 603, stroke slice unit 604, scoring unit 605, coordinates measurement
Device 606, customization circuit maker 607,
Described WEB data extractor 600, in order to capture the POI data obtained in WEB server 600；WEB data grabber
Device 600 includes but not limited to web crawlers.
Described POI data bin 601 is in order to deposit the key word in the POI data grabbed；Described POI tag library
602, in order to set up the corresponding relation of key word and user preference；In described POI data bin 601, pass through natural language
Treatment technology analysis acquires comment based on POI and describes content.Those skilled in the art can understand, described natural language
Speech treatment technology includes but not limited to semantic analysis, the natural language (including chapter and sentence) deposited is turned in WEB server
Turn to reflect certain formalization representation of its meaning, carry out structuring after such as information being obtained by web crawlers and deposit
Put.Further comprises semantic dependency analysis, extract the semantic relation between all of qualifier and core word pair in user POI comment,
And qualifier and core word are to covering all of word in comment, i.e. each word in comment has its core node.Semantic
Dependency analysis towards whole comment content, and can be not only main semantic relation between predicate and its argument in comment comment,
The semantic information comprised possibly together with non-principal predicate, such as quantity (quantity), attribute (attribute) and frequency
(frequency) etc..
Described user's stroke unit 603, in order to obtain user's stroke；Can also include at described user's stroke unit 603,
The POI data that stroke planning teacher creates.Stroke planning teacher gos deep into locality, updates constantly, obtains a local line information.As this
Preferred in embodiment, user's stroke is that planner creates, and part is derived from user and audits by just may be used through planner
With.
Described stroke slice unit 604, in order to be divided into stroke fragment by described user's stroke；The minimum list of stroke fragmentation
Unit is: sky.Preferred as in the present embodiment, stroke slice unit 604 is also in order to be divided into the stroke that stroke planning teacher creates
Stroke fragment.
Described scoring unit 605, in order to according to the preference of user in described stroke fragment in described tag library to described row
POI attribute tags in journey fragment is given a mark；
Described path generator 606, in order to obtain the road of described stroke fragment according to the score of described POI attribute tags
Footpath；
According to user input destination, city, play time and preference information, such as: China, or Shanghai, Beijing, three
My god, food and drink.Corresponding stroke fragment at least includes: breakfast, lunch, dinner: for local characteristic, the recommendation in popular dining room, more
The time of dining being suitable for, it may be possible to local characteristic breakfast, super fiery lunch and enjoy the dinner etc. of exhausted U.S. night scene.Such as,
Chinaware mouth fermented bean drink (breakfast), Quanjude Roast Duck (lunch, dinner), Yao remember stir-fry liver, literary composition space cheese, Donglaishun, on Oriental Pearl's tower
Revolving restaurant (lunch, dinner) etc..
According to user input destination, city, play time and preference information, China, Beijing, two days, sight spot.Room
Interior, outdoor: to consider weather conditions, that weather the is good applicable sight spot, applicable recommendation indoor recommending outdoor sight spot, weather difference, certainly
For local Top5 sight spot, this will be chosen in not all sight spot.Such as, the Chinese Art Gallery (indoor), (room, Great Wall
Outward), the Summer Palace (outdoor).
Described customization circuit maker 607, in order to by POI combinational algorithm, by the combination of paths in described stroke fragment
Obtain customizing circuit.Described POI combinational algorithm includes but not limited to, POI proposed algorithm based on place similarity, based on position
The POI algorithm of information, POI algorithm based on weight etc..
Those of ordinary skill in the field it is understood that more than, described be only the present invention specific embodiment, and
Be not used in the restriction present invention, all within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. done, all
Within protection scope of the present invention should being included in.
Claims (10)
1. a circuit method for customizing based on stroke planning, it is characterised in that comprise the steps:
Capture the POI data obtaining in WEB server, and find the key word in described POI data；
Build tag library according to the dimension arranged, set up the corresponding relation of described key word and user preference；
Obtain stroke storehouse according to user's stroke, then described stroke storehouse is decomposed into stroke fragment, then in described stroke fragment
The POI attribute tags comprised carries out marking and obtains user preference score, obtains described stroke according to the score of described user preference
The path of fragment；
By POI combinational algorithm, obtain the combination of paths in described stroke fragment customizing circuit.
Circuit method for customizing based on stroke planning the most according to claim 1, it is characterised in that in described POI data
Key word include, the classification of POI and POI attribute item of all categories, the classification of described POI is: sight spot, shopping, food and drink, hotel；
Described POI attribute item is, is suitable for old man, is suitable for child, boy student's present, schoolgirl's present, Japanese, Chinese meal, free wifi, freely stops
Car.
Circuit method for customizing based on stroke planning the most according to claim 1, it is characterised in that described POI data is logical
Crossing natural language processing technique analysis acquire comment based on POI and describe content, described comment is delivered according to user
Word obtains, and described description content is word, picture or video.
Circuit method for customizing based on stroke planning the most according to claim 1, it is characterised in that described tag library is at least
Including: humane label, label of doing shopping, seabeach label, cuisines label, self-driving label, outdoor experience label, natural label, photography
Label, performance amusement label, build label, history tab, parent-offspring's label, honeymoon label, old man's label, romantic label, meter Qi
Woods label, nice label, overflow label, lovers' label, the big label of quantity of motion；Corresponding by the label of classification in described tag library
Obtain user preference.
5. according to the circuit method for customizing based on stroke planning described in claim 1-4 Arbitrary Term, it is characterised in that described pass
Keyword with the corresponding relation of user preference is: the corresponding multiple key words of each user preference, each key word is to described user
Preference carries out various dimensions division.
Circuit method for customizing based on stroke planning the most according to claim 1, it is characterised in that described acquisition user's row
Journey at least includes:
{ destination that user selects, the city of interpolation, the departure time selected }, the destination that described user selects is according to the world
In the range of be divided into home and overseas country level, the city of described interpolation is city level, and described departure time of selecting is
Beijing time.
Circuit method for customizing based on stroke planning the most according to claim 6, it is characterised in that described acquisition user's row
Journey farther includes: { travelling natural law, preference }, and described travelling natural law is that travelling started to the time terminated, and described preference is for using
Family self-defined information.
Circuit method for customizing based on stroke planning the most according to claim 1, it is characterised in that to described stroke fragment
In POI attribute tags carry out the method given a mark particularly as follows:
By each POI attribute bias score value in stroke fragment, carrying out score value and add up, the score value obtained after adding up is as stroke
Fragment preference score value.
Circuit method for customizing based on stroke planning the most according to claim 1, it is characterised in that by described user's stroke
When being divided into stroke fragment, at least generate following underlying table:
Poi_scorevalue poi preference score value table, line_day_tagscore stroke fragment score value table, line_
Citydays plays in city natural law allocation list, line_cityday_recommend city recommended configuration table, line_cityhot
City temperature is played natural law allocation list, line_citylevel city level allocation list, line_tags preference table.
10. circuit custom-built system based on stroke planning, it is characterised in that including: WEB data extractor, POI data store
Device, POI tag library, user's stroke unit, stroke slice unit, scoring unit, path generator, customization circuit maker,
Described WEB data extractor, in order to capture the POI data obtaining in WEB server；Described POI data bin in order to
Deposit the key word in the POI data grabbed；Described POI tag library, in order to set up, key word is corresponding with user preference to close
System；Described user's stroke unit, in order to obtain user's stroke；Described stroke slice unit, in order to be divided into described user's stroke
Stroke fragment；Described scoring unit, in order to according to the preference of user in described stroke fragment in described tag library to described stroke
POI attribute tags in fragment is given a mark；Described path generator, in order to obtain according to the score of described POI attribute tags
The path of described stroke fragment；Described customization circuit maker, in order to by POI combinational algorithm, by described stroke fragment
Combination of paths obtains customizing circuit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610421251.6A CN106096785A (en) | 2016-06-13 | 2016-06-13 | A kind of circuit method for customizing based on stroke planning, system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610421251.6A CN106096785A (en) | 2016-06-13 | 2016-06-13 | A kind of circuit method for customizing based on stroke planning, system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106096785A true CN106096785A (en) | 2016-11-09 |
Family
ID=57845697
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610421251.6A Pending CN106096785A (en) | 2016-06-13 | 2016-06-13 | A kind of circuit method for customizing based on stroke planning, system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106096785A (en) |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106920011A (en) * | 2017-03-06 | 2017-07-04 | 冠生园（集团）有限公司 | A kind of intelligent stroke planning method |
| CN107423837A (en) * | 2017-04-12 | 2017-12-01 | 宁夏丝路风情旅游网络股份有限公司 | The Intelligent planning method and system of tourism route |
| CN108170808A (en) * | 2017-12-28 | 2018-06-15 | 杭州后博科技有限公司 | A kind of visit equipment commending system and method based on scenic region navigation |
| CN108171360A (en) * | 2016-12-07 | 2018-06-15 | 丰田自动车株式会社 | Information provider unit, information providing method and computer-readable medium |
| CN108268613A (en) * | 2017-12-29 | 2018-07-10 | 广州都市圈网络科技有限公司 | Tour schedule generation method, electronic equipment and storage medium based on semantic analysis |
| CN108267142A (en) * | 2016-12-30 | 2018-07-10 | 上海博泰悦臻电子设备制造有限公司 | A kind of navigation display method based on address card, system and a kind of vehicle device |
| CN108364088A (en) * | 2018-01-24 | 2018-08-03 | 北京穷游天下科技发展有限公司 | The optimization method and electronic equipment of tour schedule |
| CN108810060A (en) * | 2017-05-05 | 2018-11-13 | 阿里巴巴集团控股有限公司 | Offer, reception, user's polymerization, server and the client of business information |
| CN109063914A (en) * | 2018-08-10 | 2018-12-21 | 湖北文理学院 | A kind of tourism route planing method based on space-time data perception |
| CN109146324A (en) * | 2018-09-13 | 2019-01-04 | 北京三快在线科技有限公司 | Recommended method, device and electronic equipment |
| CN109190130A (en) * | 2018-08-30 | 2019-01-11 | 昆明理工大学 | A kind of research method matching proposed algorithm with machine translator based on POI similarity |
| CN109523288A (en) * | 2017-09-19 | 2019-03-26 | 富士施乐株式会社 | Information processing unit |
| CN109558977A (en) * | 2018-11-26 | 2019-04-02 | 上海景域文化传播股份有限公司 | Tour schedule assessment, planing method |
| CN109740049A (en) * | 2018-12-13 | 2019-05-10 | 北京百度网讯科技有限公司 | The generation method and device of article |
| CN109857948A (en) * | 2019-02-15 | 2019-06-07 | 北京无二之旅科技有限公司 | A kind of travel solutions determine method and device |
| CN109918573A (en) * | 2019-03-28 | 2019-06-21 | 黑龙江大学 | A kind of personalized circuit recommendation system and method based on position social networks |
| CN109961183A (en) * | 2019-03-20 | 2019-07-02 | 重庆邮电大学 | A kind of comment information registers the measure of influence on user |
| CN110175294A (en) * | 2019-05-30 | 2019-08-27 | 上海苍潇穹宇数据科技有限公司 | Sight spot Numerical evaluation device and tour schedule planning system |
| CN110324785A (en) * | 2019-07-02 | 2019-10-11 | 北京百度网讯科技有限公司 | Information recommendation method, device, equipment and computer readable storage medium |
| CN110622203A (en) * | 2017-03-17 | 2019-12-27 | 本田技研工业株式会社 | Movement plan providing system, movement plan providing method, and program |
| CN110827657A (en) * | 2018-08-14 | 2020-02-21 | 北京高德云图科技有限公司 | Method and device for displaying tour route in scenic spot |
| CN111414686A (en) * | 2020-03-18 | 2020-07-14 | 北京北特圣迪科技发展有限公司 | Monitoring and early warning system for operating risks of theater mechanical equipment |
| CN111966929A (en) * | 2020-08-17 | 2020-11-20 | 携程旅游信息技术（上海）有限公司 | Label-based travel route pushing method, system, equipment and storage medium |
| CN112465276A (en) * | 2021-01-28 | 2021-03-09 | 湖南惠旅云网络科技有限公司 | Method for automatically generating scenic spot playing recommended route |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103366222A (en) * | 2012-04-05 | 2013-10-23 | 创炎资讯科技有限公司 | Journey planning system and journey planning, evaluating and automatic generating method |
| CN104794663A (en) * | 2015-05-15 | 2015-07-22 | 北京景行技术有限公司 | Automatic itinerary generation system and method |
| CN105468679A (en) * | 2015-11-13 | 2016-04-06 | 中国人民解放军国防科学技术大学 | Tourism information processing and plan providing method |
| CN105547306A (en) * | 2015-08-11 | 2016-05-04 | 深圳大学 | Route pushing method and system thereof |
-
2016
- 2016-06-13 CN CN201610421251.6A patent/CN106096785A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103366222A (en) * | 2012-04-05 | 2013-10-23 | 创炎资讯科技有限公司 | Journey planning system and journey planning, evaluating and automatic generating method |
| CN104794663A (en) * | 2015-05-15 | 2015-07-22 | 北京景行技术有限公司 | Automatic itinerary generation system and method |
| CN105547306A (en) * | 2015-08-11 | 2016-05-04 | 深圳大学 | Route pushing method and system thereof |
| CN105468679A (en) * | 2015-11-13 | 2016-04-06 | 中国人民解放军国防科学技术大学 | Tourism information processing and plan providing method |
Cited By (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108171360A (en) * | 2016-12-07 | 2018-06-15 | 丰田自动车株式会社 | Information provider unit, information providing method and computer-readable medium |
| CN108171360B (en) * | 2016-12-07 | 2022-02-11 | 丰田自动车株式会社 | Information providing apparatus, information providing method, and computer readable medium |
| CN108267142B (en) * | 2016-12-30 | 2021-07-06 | 上海博泰悦臻电子设备制造有限公司 | Navigation display method and system based on address card and vehicle machine |
| CN108267142A (en) * | 2016-12-30 | 2018-07-10 | 上海博泰悦臻电子设备制造有限公司 | A kind of navigation display method based on address card, system and a kind of vehicle device |
| CN106920011A (en) * | 2017-03-06 | 2017-07-04 | 冠生园（集团）有限公司 | A kind of intelligent stroke planning method |
| CN110622203B (en) * | 2017-03-17 | 2023-05-09 | 本田技研工业株式会社 | Mobile plan providing system and mobile plan providing method |
| CN110622203A (en) * | 2017-03-17 | 2019-12-27 | 本田技研工业株式会社 | Movement plan providing system, movement plan providing method, and program |
| CN107423837A (en) * | 2017-04-12 | 2017-12-01 | 宁夏丝路风情旅游网络股份有限公司 | The Intelligent planning method and system of tourism route |
| CN108810060A (en) * | 2017-05-05 | 2018-11-13 | 阿里巴巴集团控股有限公司 | Offer, reception, user's polymerization, server and the client of business information |
| CN109523288A (en) * | 2017-09-19 | 2019-03-26 | 富士施乐株式会社 | Information processing unit |
| CN108170808A (en) * | 2017-12-28 | 2018-06-15 | 杭州后博科技有限公司 | A kind of visit equipment commending system and method based on scenic region navigation |
| CN108170808B (en) * | 2017-12-28 | 2020-06-30 | 杭州后博科技有限公司 | Scenic spot navigation-based tour equipment recommendation system and method |
| CN108268613A (en) * | 2017-12-29 | 2018-07-10 | 广州都市圈网络科技有限公司 | Tour schedule generation method, electronic equipment and storage medium based on semantic analysis |
| CN108364088A (en) * | 2018-01-24 | 2018-08-03 | 北京穷游天下科技发展有限公司 | The optimization method and electronic equipment of tour schedule |
| CN109063914A (en) * | 2018-08-10 | 2018-12-21 | 湖北文理学院 | A kind of tourism route planing method based on space-time data perception |
| CN109063914B (en) * | 2018-08-10 | 2021-10-22 | 湖北文理学院 | Tourism route planning method based on space-time data perception |
| CN110827657A (en) * | 2018-08-14 | 2020-02-21 | 北京高德云图科技有限公司 | Method and device for displaying tour route in scenic spot |
| CN109190130B (en) * | 2018-08-30 | 2022-04-12 | 昆明理工大学 | Research method based on POI similarity and translation machine matching recommendation algorithm |
| CN109190130A (en) * | 2018-08-30 | 2019-01-11 | 昆明理工大学 | A kind of research method matching proposed algorithm with machine translator based on POI similarity |
| CN109146324A (en) * | 2018-09-13 | 2019-01-04 | 北京三快在线科技有限公司 | Recommended method, device and electronic equipment |
| CN109146324B (en) * | 2018-09-13 | 2021-02-02 | 北京三快在线科技有限公司 | Recommendation method and device and electronic equipment |
| CN109558977A (en) * | 2018-11-26 | 2019-04-02 | 上海景域文化传播股份有限公司 | Tour schedule assessment, planing method |
| CN109740049A (en) * | 2018-12-13 | 2019-05-10 | 北京百度网讯科技有限公司 | The generation method and device of article |
| CN109857948A (en) * | 2019-02-15 | 2019-06-07 | 北京无二之旅科技有限公司 | A kind of travel solutions determine method and device |
| CN109961183A (en) * | 2019-03-20 | 2019-07-02 | 重庆邮电大学 | A kind of comment information registers the measure of influence on user |
| CN109918573A (en) * | 2019-03-28 | 2019-06-21 | 黑龙江大学 | A kind of personalized circuit recommendation system and method based on position social networks |
| CN110175294A (en) * | 2019-05-30 | 2019-08-27 | 上海苍潇穹宇数据科技有限公司 | Sight spot Numerical evaluation device and tour schedule planning system |
| CN110324785B (en) * | 2019-07-02 | 2021-03-16 | 北京百度网讯科技有限公司 | Information recommendation method, device, equipment and computer readable storage medium |
| US10972864B2 (en) | 2019-07-02 | 2021-04-06 | Beijing Baidu Netcom Science Technology Co., Ltd. | Information recommendation method, apparatus, device and computer readable storage medium |
| CN110324785A (en) * | 2019-07-02 | 2019-10-11 | 北京百度网讯科技有限公司 | Information recommendation method, device, equipment and computer readable storage medium |
| CN111414686B (en) * | 2020-03-18 | 2021-01-05 | 北京北特圣迪科技发展有限公司 | Monitoring and early warning system for operating risks of theater mechanical equipment |
| CN111414686A (en) * | 2020-03-18 | 2020-07-14 | 北京北特圣迪科技发展有限公司 | Monitoring and early warning system for operating risks of theater mechanical equipment |
| CN111966929A (en) * | 2020-08-17 | 2020-11-20 | 携程旅游信息技术（上海）有限公司 | Label-based travel route pushing method, system, equipment and storage medium |
| CN112465276A (en) * | 2021-01-28 | 2021-03-09 | 湖南惠旅云网络科技有限公司 | Method for automatically generating scenic spot playing recommended route |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106096785A (en) | A kind of circuit method for customizing based on stroke planning, system | |
| Truong et al. | Destination distinctiveness: Concept, measurement, and impact on tourist satisfaction | |
| Specht | Architectural tourism: building for urban travel destinations | |
| Michaud et al. | Contending visions of a hill-station in Vietnam | |
| Cudny et al. | The concept, origins and types of festivals | |
| CN106197444A (en) | A kind of route planning method, system | |
| Bhaumik | Cinematograph to cinema: Bombay 1896–1928 | |
| Vasiliadis et al. | Cultural tourism revisited: The case of Thessaly | |
| Fontefrancesco | Food festivals and expectations of local development in northern Italy | |
| Liu | The strategy of city cultural governance: 2009 Kaohsiung world games and globalized city cultural images | |
| Karolak | Destination place identity, touristic diversity and diversification in the Arabia Gulf | |
| Pero | Chicago's Pilsen Neighborhood | |
| Escher | Performing Tropicality: The Tropicana Cabaret in Havana | |
| Gharib | Exploring urban open spaces of regenerated markets in Qatar | |
| Veliz et al. | Photographic and informative catalog of the cultural tourist attractions of the jipijapa canton | |
| Lai et al. | World Film Locations: Hong Kong | |
| Lackey et al. | Milwaukee's Old South Side | |
| Sengupta | The Role of Culinary in Development of Tourism in Rajasthan | |
| Osland et al. | Destination Image: what are foreigners’ perceptions of Nordic countries? a qualitative analysis using Leximancer | |
| Gralak | The concept of “book town” as an innovative way of using local resources for tourism purposes | |
| ZOGRAFOS | HOW FAR GASTRONOMICAL TOURISM COULD REACH? EVIDENCE FROM GREECE | |
| KARAMAN | GASTRONOMY MUSEOLOGY | |
| PARVATHY | TOUR REPORT ON NEW YORK | |
| Khanna et al. | Cultural Connect for Tourism Development in BRIC Nations | |
| Malkoç | The original representation of İzmir city identity through design |
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 |
Application publication date: 20161109 |
|
| RJ01 | Rejection of invention patent application after publication |