CN104504064A - Information recommendation method and device - Google Patents
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- CN104504064A CN104504064A CN201410805906.0A CN201410805906A CN104504064A CN 104504064 A CN104504064 A CN 104504064A CN 201410805906 A CN201410805906 A CN 201410805906A CN 104504064 A CN104504064 A CN 104504064A
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- 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
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Abstract
The invention discloses information recommendation method and device. The method comprises the steps of acquiring scene information of a terminal; determining an interest point list according to the scene information, wherein the interest point list is at least one of the scenic spot list, dinner place list and accommodation place list; sending the interest point list to the terminal. The device comprises an information acquiring module for acquiring the scene information of the terminal, a list determining module for determining the interest point list which is at least one of the scenic spot list, dinner place list and accommodation place list according to the scene information, and a sending module for sending the interest point list to the terminal. With the adoption of the method and device, the corresponding interest points can be recommended to a user according to the scenes in travel, the applicable scope of information recommendation is expanded, the diversity and flexibility of information recommendation are improved, and the user can timely adjust the schedule to realize reasonable travel.
Description
Technical field
The embodiment of the present invention relates to Internet technical field, particularly relates to a kind of information recommendation method and device.
Background technology
The appearance of internet and popularize and bring a large amount of information to user, meet the demand of user in the information age to information, but increasing substantially of the network information amount brought along with developing rapidly of network, make user therefrom cannot obtain the part information really useful to oneself when in the face of bulk information, the service efficiency of information is reduced on the contrary, so-called information overload that Here it is (informationoverload) problem.
Solving the very potential way of information overload problem one is information recommendation.Information recommendation is information requirement, interest etc. according to user, and interested for user information and product etc. are recommended user.
But, information recommendation at present for tourism is only limitted to be user's recommendation information before user travels, the packing tourist services such as tourism route are provided as user, or there are GT grand touring website or application program (Application is called for short APP) to provide the products such as relevant stroke planning for user.
But, in tourism process, even if did well planning before travelling, also have stroke greatly can need to adjust because of the certain situation at the position residing for user's reality, time, weather conditions, sight spot itself and user behavior, existing information recommendation there is no method and recommends useful information for this reason.
Summary of the invention
The embodiment of the present invention provides a kind of information recommendation method and device, the range of application of recommending with extend information.
First aspect, embodiments provides a kind of information recommendation method, comprising:
Obtain the scene information residing for terminal;
According to the list of described scene information determination point of interest, wherein, described point of interest list is at least one list in sight spot list, dining place list and the list of lodging place;
Described point of interest list is sent to described terminal.
Second aspect, the embodiment of the present invention additionally provides a kind of information recommending apparatus, comprising:
Data obtaining module, for obtaining the scene information residing for terminal;
List determining module, for according to the list of described scene information determination point of interest, wherein, described point of interest list is at least one list in sight spot list, dining place list and the list of lodging place;
Sending module, for sending described point of interest list to described terminal.
A kind of information recommendation method that the embodiment of the present invention provides and device, by the scene information determination point of interest list residing for terminal, and point of interest list is sent to terminal, achieve according to the scene in travelling as user recommends corresponding point of interest, extend the range of application of information recommendation, add diversity and the dirigibility of information recommendation, be convenient to user and adjust stroke in time and make route more reasonable.
Accompanying drawing explanation
The process flow diagram of a kind of information recommendation method that Fig. 1 provides for the embodiment of the present invention one;
The process flow diagram of scene information determination point of interest list is utilized in the information recommendation method that Fig. 2 provides for the embodiment of the present invention two;
The process flow diagram of scene information determination point of interest list is utilized in the information recommendation method that Fig. 3 provides for the embodiment of the present invention three;
The schematic flow sheet of a kind of information recommendation method that Fig. 4 provides for the embodiment of the present invention four;
The schematic flow sheet of food and drink data is excavated in the information recommendation method that Fig. 5 provides for the embodiment of the present invention five;
The structural representation of a kind of information recommending apparatus that Fig. 6 provides for the embodiment of the present invention six.
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.
The information recommendation method of the embodiment of the present invention can be performed by information recommending apparatus, and this device realizes by the mode of hardware and/or software, and the equipment of general accessible site in service end place is as in server, or as the subroutine of service end.
Embodiment one
See Fig. 1, the information recommendation method that the present embodiment provides specifically comprises: operation 11-operation 13.
In operation 11, obtain the scene information residing for terminal.
Wherein, described terminal can be the terminal device that user uses, and such as desktop computer or notebook or mobile phone etc. can also be mounted in the client software on above-mentioned terminal device.Described scene information comprises: people's current density at the position residing for user, current time, current season, current weather condition, periphery sight spot, periphery dining Locale information and periphery lodging Locale information etc.Wherein, people's current density at periphery sight spot can be obtained divided by sight spot useful area by sight spot flow of the people, and current weather conditions can be obtained by other third party applications.
For reducing the data processing amount of server end, preferably, the scene information residing for terminal is obtained in situations:
The scene information residing for described terminal is obtained within the time of presetting;
Or, when the displacement of described terminal is more than or equal to Second Threshold, obtain the scene information residing for described terminal;
Or, the scene information residing for described terminal is obtained when weather condition is abnormal.
In operation 12, according to the list of described scene information determination point of interest, wherein, described point of interest list is at least one list in sight spot list, dining place list and the list of lodging place.
Particularly, can scene information residing for user, infer and next step possible activity of user, such as according to the scene information obtained in aforesaid operations 11, whether block up according to the sight spot that namely user will go or determine sight spot list according to current weather conditions etc.; Or, such as, when the current time is the meal time, determine place list of having dinner; Or, such as, when travelling beginning, determine the list of lodging place.Meanwhile, these lists can also be obtained, arrange in time for user and adjust stroke.
In operation 13, send described point of interest list to described terminal.
Tourism process due to reality is very complicated, even if did well planning before row, also stroke is greatly had can to adjust because of the certain situation at the position residing for user's reality, time, weather conditions, sight spot itself and user behavior, so the point of interest list will obtained in operation 12, send to user terminal, the recommendation of related interests point list can be carried out by scene information in time residing for user, help user to adjust stroke in time.
The information recommendation method that the present embodiment provides, by obtaining the scene information residing for terminal, according to the list of described scene information determination point of interest, and sends described point of interest list to described terminal.Achieve and recommend corresponding point of interest according to the scene in travelling for user, extend the range of application of information recommendation, add diversity and the dirigibility of information recommendation, be convenient to user and adjust stroke in time and make route more reasonable.
Exemplary, the scene information residing for above-mentioned acquisition terminal, comprising:
The scene information residing for described terminal is obtained within the time of presetting;
Or, when the displacement of described terminal is more than or equal to Second Threshold, obtain the scene information residing for described terminal;
Or, the scene information residing for described terminal is obtained when weather condition is abnormal.
Exemplary, above-mentioned according to the list of described scene information determination point of interest, comprising:
Determine whether to recommend sight spot according to described scene information;
When determining to recommend sight spot, obtain the periphery sight spot in the geographic position at described terminal place, wherein, the distance between the geographic position at described periphery sight spot and described terminal place is less than default first threshold;
Described point of interest list is determined according to described periphery sight spot.
Exemplary, above-mentionedly determine whether to recommend sight spot according to described scene information, comprising:
According to the access route that the geographic position at described terminal place and the user of described terminal set, obtain the current information at next sight spot to be visited;
According to the current information at described next sight spot, determine whether to recommend sight spot;
Or, comprising:
According to the access route of user's setting of the geographic position at described terminal place, the Weather information in described geographic position and described terminal, determine whether to recommend sight spot.
Exemplary, above-mentionedly determine described point of interest list according to described periphery sight spot, comprising:
The suggestion access time according to current time and described periphery sight spot filters described periphery sight spot, obtains candidate sight;
According to matching degree, the described candidate sight people current density of the preference of the traffic convenience degree between the geographic position at the distance between the geographic position at described terminal place and described candidate sight, described terminal place and described candidate sight, the temperature rank of described candidate sight, described candidate sight and described terminal user, described candidate sight is sorted, obtains described point of interest list.
Exemplary, the determination of the matching degree of the preference of candidate sight described above and described terminal user, comprising:
Utilize based on the collaborative filtering of user, obtain the first preference sight spot, wherein, described first preference sight spot is that the user of described terminal did not access, and similar to the user behavior of described terminal or like the sight spot that similar user accessed;
Utilize the collaborative filtering based on sight spot, obtain the second preference sight spot, wherein, described second preference sight spot is that described terminal user did not access, and the sight spot similar to the sight spot type of the user preference of described terminal;
When described candidate sight belongs to the sight spot in described first preference sight spot or described second preference sight spot, determine that the matching degree of the preference of described candidate sight and described terminal user is for high, otherwise, determine that the matching degree of the preference of described candidate sight and described terminal user is low.
Exemplary, above-mentioned described candidate sight to be sorted, comprising:
Employing order support vector machine ranksvm order models sorts to described candidate sight.
Exemplary, above-mentioned according to the list of described scene information determination point of interest, comprising:
From recommending the periphery point of interest obtaining the geographic position at described terminal place interest point set, wherein, described recommendation interest point set be the user preference of described terminal food and drink place set and lodging place set at least one set, the distance between the geographic position at described periphery point of interest and described terminal place is less than default first threshold;
Described point of interest list is determined according to described periphery point of interest.
Exemplary, above-mentionedly determine described point of interest list according to described periphery point of interest, comprising:
According to history scoring, pictorial information, user's original content UGC mention number of times, price, current temperature, traffic convenience degree and and the geographic position at described terminal place between distance at least one information, or, according at least one information in hotel's scoring, star, pictorial information, real time price and favor information, described periphery point of interest is sorted;
Using at least one periphery point of interest of coming above as described point of interest list.
Embodiment two
The present embodiment, based on above-described embodiment, gives in information recommendation method the method utilizing the list of scene information determination point of interest.
See Fig. 2, what the embodiment of the present invention provided utilizes the method for scene information determination point of interest list specifically to comprise: operation 21-operation 23.
In operation 21, determine whether to recommend sight spot according to described scene information;
Particularly, according to the access route of user's setting of the geographic position at described terminal place and described terminal, the current information at next sight spot to be visited can be obtained.Wherein, the geographic position at described terminal place can obtain based on locator data.According to the access route that the user of described terminal sets, obtain the current information at next sight spot to be visited, according to the current information at the next sight spot to be visited of above-mentioned acquisition, determine whether to recommend sight spot.Such as, the information at the next sight spot that namely user of acquisition will go is: people's current density at sight spot and transport information, if people's current density is too large, or traffic is too blocked up, and determines now should recommend sight spot.
Or, can, according to the access route of user's setting of the Weather information in the geographic position at described terminal place, described geographic position and described terminal, determine whether to recommend sight spot.The position residing for user can be known by the geographic position at terminal place.As user present position to rain etc. reason be not suitable for going to play according to the access route of user's setting time, determine now should recommend sight spot, to be more suitable for the sight spot of carrying out playing under this scene for user's recommendation.
In operation 22, when determining to recommend sight spot, obtain the periphery sight spot in the geographic position at described terminal place, wherein, the distance between the geographic position at described periphery sight spot and described terminal place is less than default first threshold.
Wherein, the setting of first threshold can be determined according to practical situations, and this is not restricted for the present embodiment.Such as setting first threshold is 100 kms, the geographic position residing at present according to the user obtained in aforesaid operations, and the distance of recalling between current residing geographic position is less than the sight spot in 100 kms.
In operation 23, determine described point of interest list according to described periphery sight spot.
Wherein, point of interest list is sight spot list, reflects the sight spot being more suitable for carrying out under user is in current scene playing.
The technical scheme that the present embodiment provides, by determining whether according to described scene information to recommend sight spot, when determining to recommend sight spot, obtain the periphery sight spot in the geographic position at described terminal place, and determine described point of interest list, thus to realize in travelling process, for user recommends sight spot, being convenient to user and adjusting stroke in time and make route more reasonable.
Exemplary, above-mentionedly determine described point of interest list according to described periphery sight spot, comprising:
The suggestion access time according to current time and described periphery sight spot filters described periphery sight spot, obtains candidate sight;
According to matching degree and the described candidate sight people current density of the preference of the traffic convenience degree between the geographic position at the distance between the geographic position at described terminal place and described candidate sight, described terminal place and described candidate sight, the temperature rank of described candidate sight, described candidate sight and described terminal user, described candidate sight is sorted, obtains described point of interest list.
Particularly, the suggestion access time according to current time and described periphery sight spot filters described periphery sight spot, obtains candidate sight.Such as, according to sight spot be suitable for playing season and morning and afternoon the information such as index filter, the sight spot of such as skifield and so on is only suitable for playing winter, if when current time is summer, just needs to filter out such sight spot.Morning and afternoon, index referred to that sight spot is applicable to the index of playing in the morning or afternoon.Such as Chairman Mao's memorial museum is only in 8:00-12:00 opening in the morning, if user is afternoon current place time, this kind of sight spot just needs to filter out.Above-mentioned sight spot be suitable for playing season and morning and afternoon index be from user's original content UGC data, to adopt the method for information entropy to obtain.Alternatively sight spot, remaining periphery sight spot after finally filtering.
Then, according to matching degree, the described candidate sight people current density of the preference of the traffic convenience degree between the geographic position at the distance between the geographic position at described terminal place and described candidate sight, described terminal place and described candidate sight, the temperature rank of described candidate sight, described candidate sight and described terminal user, five features sort to described candidate sight, obtain described point of interest list; According to any one in line number five features or severally can also to sort to described candidate sight, obtain described point of interest list.
Wherein, traffic convenience degree between the geographic position at described terminal place and described candidate sight, can according to the distance between the geographic position at described terminal place and described candidate sight, traffic route number between the geographic position at described terminal place and described candidate sight, the features such as number of transfer are determined.
Page browsing amount, comment number, comment mark, multiple feature such as sight spot temperature of browsing number, recommendation number and map retrieval that the temperature rank of described candidate sight can be correlated with according to sight spot in UGC data carry out rank.
Described candidate sight people current density can be obtained divided by sight spot useful area by sight spot flow of the people.
Exemplary, the determination of the matching degree of the preference of above-mentioned candidate sight and described terminal user, comprising:
Utilize based on the collaborative filtering of user, obtain the first preference sight spot, wherein, described first preference sight spot is that the user of described terminal did not access, and similar to the user behavior of described terminal or like the sight spot that similar user accessed;
Utilize the collaborative filtering based on sight spot, obtain the second preference sight spot, wherein, described second preference sight spot is that described terminal user did not access, and the sight spot similar to the sight spot type of the user preference of described terminal;
When described candidate sight belongs to the sight spot in described first preference sight spot or described second preference sight spot, determine that the matching degree of the preference of described candidate sight and described terminal user is for high, otherwise, determine that the matching degree of the preference of described candidate sight and described terminal user is low.
Exemplary, above-mentioned described candidate sight to be sorted, comprising: adopt ranksvm (ranksupport vector machine, i.e. order support vector machine) order models to sort to described candidate sight.
Embodiment three
The present embodiment, based on above-described embodiment, provides in another information recommendation method the method utilizing the list of scene information determination point of interest.
See Fig. 3, the method for scene information determination point of interest list that what the embodiment of the present invention provided utilize, specifically comprises: operation 31-operation 32.
In operation 31, from recommending the periphery point of interest obtaining the geographic position at described terminal place interest point set.Wherein, described recommendation interest point set be the user preference of described terminal food and drink place set and lodging place set at least one set, the distance between the geographic position at described periphery point of interest and described terminal place is less than default first threshold.
Wherein, recommend interest point set only can comprise the food and drink place set of the user preference of described terminal, also only can comprise the lodging place set of the user preference of described terminal; Can also the two all comprise.When recommending interest point set only to comprise the food and drink place set of the user preference of described terminal, the point of interest list that the method is determined is dining place list; When recommending interest point set only to comprise the lodging place set of the user preference of described terminal, the point of interest list that the method is determined is the list of lodging place; When the food and drink place set recommending interest point set to comprise the user preference of described terminal, and when the lodging place of the user preference of described terminal is gathered, the point of interest list that the method is determined is dining place list and the list of lodging place.
Wherein, the food and drink place set of the user preference of described terminal and the set of lodging place, can obtain from the historical behavior data of user, obtains the preference of staying, have dinner by analyzing user.Such as, according to the hotel of user in each tour site, the navigation patterns of food and drink, and the predefined action in hotel, obtain the information such as user's acceptable hotel price, hotel's type and food and drink taste.
From the periphery point of interest recommending to obtain interest point set, need the distance between the geographic position at described terminal place to be less than default first threshold, arranging of first threshold specifically can be arranged according to embody rule situation, and this is not restricted for the present embodiment.
In operation 32, determine described point of interest list according to described periphery point of interest.
By operating the periphery point of interest of 31 acquisitions, owing to reference to the preference behavior of user, therefore according to the determined point of interest list of above-mentioned periphery point of interest, more fitting with the demand of user, more meeting the expectation of user.
The embodiment of the present invention by obtaining the periphery point of interest in the geographic position at described terminal place from recommendation interest point set, described point of interest list is determined according to described periphery point of interest, can according to the preference of user, in time for user recommends suitable dining place and lodging place in travelling, improve Consumer's Experience.
Exemplary, above-mentionedly determine described point of interest list according to described periphery point of interest, comprising:
According to history scoring, pictorial information, user's original content UGC mention number of times, price, current temperature, traffic convenience degree and and the geographic position at described terminal place between distance at least one information, or, according at least one information in hotel's scoring, star, pictorial information, real time price and favor information, described periphery point of interest is sorted;
Using at least one periphery point of interest of coming above as described point of interest list.
Such as, when user has arrived the meal point time on the road, first the dining place set in the certain distance of user position is obtained, based on the historical behavior data of user, obtain and gather with the dining place in the certain distance of user current present position, mark according to history, pictorial information, user's original content (User GeneratedContent, be called for short UGC) mention number of times, price, current temperature, traffic convenience degree and and the geographic position at described terminal place between distance at least one information comprehensively give a mark and sort, the highest one or more dining fields of score of extracting according to score height are as point of interest list, select for user.
Preferably, when providing dining place point of interest list for user, according to dining characteristic duplicate removal, such as, can not release the dining place of the same style of cooking within the same day, thus the diversity that guarantee information is recommended.
The determination of lodging place point of interest list, similar with dining place, first the lodging place set in the certain distance of user position is obtained, based on the historical behavior data of user, obtain and gather with the lodging place in the certain distance of user current present position, comprehensively give a mark according at least one information in hotel's scoring, star, pictorial information, real time price and favor information, extract the highest one or more hotels of score as point of interest list according to score height, select for user.
Preferably, when accommodating place point of interest list for user, if user need travel many days, when recommending the point of interest list of lodging place to user, the replacing cost in hotel can be considered.Such as know that user is when playing in same or contiguous region, if recommend infrequently to change hotel during the list of lodging place to user by the positional information of terminal.
Embodiment four
Present embodiments provide another kind of information recommendation method.
See Fig. 4, the information recommendation method that the embodiment of the present invention four provides comprises: operation 41-operation 410.
In operation 41, obtain the scene information residing for terminal.
Described scene information comprises people's current density etc. at position residing for user, current time, current season, current weather condition and periphery sight spot.
In operation 42, judge next step behavioral activity of user.
Scene information according to obtaining in operation 41 judges next step behavioral activity of user.Next step behavioral activity of user comprises changes sight spot, selects dining place, selects lodging place.
When next step behavioral activity of user is for changing sight spot, executable operations 43; When next step behavioral activity of user is for selecting to have dinner place, executable operations 44; When next step behavioral activity of user is for selection lodging place, executable operations 45.
In operation 43, spatial index recalls the neighbouring list of all sight spots, then executable operations 46.
Sight spot near described in the list of all sight spots refers to the sight spot of the user present position setpoint distance apart from described terminal.
In operation 44, spatial index recalls neighbouring all dining place lists, then executable operations 48.
Dining place near described in all dining place lists refers to the dining place of span from the user present position setpoint distance of described terminal.
In operation 45, spatial index recalls neighbouring all lodging place lists, then executable operations 49.
Lodging place near described in all lodging place lists refers to the lodging place of span from the user present position setpoint distance of described terminal.
In operation 46, filter out the sight spot being not suitable for playing, obtain sight spot list, then executable operations 47.
Particularly, can be suitable for playing season and accessing index morning and afternoon through sight spot according to sight spot, filter out the sight spot being not suitable for playing, and using remaining sight spot as sight spot list.
In operation 47, according to sight spot focus rank, customer location and sight spot distance, traffic convenience degree, sight spot and user preference matching degree, sight spot people's current density between customer location and sight spot, ranksvm model is utilized operation 46 to be filtered to sights in the sight spot list obtained, obtain recommending scenery spot list, then executable operations 410.
In operation 48, mention the features such as number of times according to dining place page browsing amount, scoring, pictorial information and UGC, utilize ranksvm model to the sequence of dining place, obtain the list of dining place recommendation.
In operation 49, mention the features such as number of times according to hotel's scoring, star, pictorial information, real time price and UGC, utilize ranksvm model to the sequence of lodging place, obtain the list of lodging place recommendation.
In operation 410, the recommendation list obtained is sent to terminal, to be presented to user.Recommendation list as obtained is recommending scenery spot list, then send to terminal to show recommending scenery spot list; Recommendation list as obtained is recommending scenery spot list, dining place recommendation list and lodging place recommendation, then recommending scenery spot list, dining place recommendation list and the list of lodging place recommendation are sent to terminal, to be presented to user.
Embodiment five
On above-described embodiment basis, present embodiments provide a kind of method excavating Food Specialties data.
See Fig. 5, the method for the excavation Food Specialties data that the embodiment of the present invention five provides comprises: operation 51-operation 54.
In operation 51, obtain food and drink solid data.
Particularly, food and drink solid data is gone out, as restaurant name etc. in food and drink and hotel's point of interest (point of interest, POI) extracting data.
In operation 52, extract the text about food and drink in travel notes.
As obtain from original web page travel notes 1, travel notes 2 ..., travel notes n, then by semantic analysis therefrom find about food and drink text 1, text 2 ..., text n.
In operation 53, utilize multimode matching technology, by food and drink solid data and text 1, text 2 ..., text n mates, and obtains food and drink primary election data.
In operation 54, food and drink primary election data are screened, obtains Food Specialties data acquisition.
As mentioned number of times according to history scoring, pictorial information and UGC, filter by food and drink primary election data.Particularly, marking can be weighted to the food and drink in food and drink primary election data, filter out the part that score is low, obtain Food Specialties data and finally gather.
The Food Specialties data of above-mentioned excavation are finally gathered can as the basic data of recommending dining place.
Similarly, hotel's data mining also can obtain characteristic hotel data acquisition, using the basic data of recommending as hotel by aforesaid operations.
Embodiment six
See Fig. 6, a kind of information recommending apparatus that the present embodiment provides specifically comprises:
Data obtaining module 61, for obtaining the scene information residing for terminal;
List determining module 62, for according to the list of described scene information determination point of interest, wherein, described point of interest list is at least one list in sight spot list, dining place list and the list of lodging place;
Sending module 63, for sending described point of interest list to described terminal.
The information recommending apparatus that the present embodiment provides, obtains the scene information residing for terminal by data obtaining module; List determining module is according to the list of described scene information determination point of interest, sending module sends described point of interest list to described terminal, solve in prior art and cannot adjust for user the problem that stroke provides information recommendation in travelling, achieve according to the scene in travelling as user recommends corresponding point of interest, extend the range of application of information recommendation, add diversity and the dirigibility of information recommendation, be convenient to user and adjust stroke in time, make route more reasonable.
Exemplary, above-mentioned data obtaining module 61 specifically for:
The scene information residing for described terminal is obtained within the time of presetting;
Or, when the displacement of described terminal is more than or equal to Second Threshold, obtain the scene information residing for described terminal;
Or, the scene information residing for described terminal is obtained when weather condition is abnormal.
Exemplary, above-mentioned list determining module 62 comprises:
Submodule is determined in recommendation, recommends sight spot for determining whether according to described scene information;
Sight spot obtains submodule, and for when determining to recommend sight spot, obtain the periphery sight spot in the geographic position at described terminal place, wherein, the distance between the geographic position at described periphery sight spot and described terminal place is less than default first threshold;
List determination submodule, for determining described point of interest list according to described periphery sight spot.
Exemplary, above-mentioned recommendation determine submodule specifically for:
According to the access route that the geographic position at described terminal place and the user of described terminal set, obtain the current information at next sight spot to be visited;
According to the current information at described next sight spot, determine whether to recommend sight spot;
Or, specifically for:
According to the access route of user's setting of the geographic position at described terminal place, the Weather information in described geographic position and described terminal, determine whether to recommend sight spot.
Exemplary, above-mentioned list determination submodule comprises:
Filtering submodule, for filtering described periphery sight spot according to the suggestion access time at current time and described periphery sight spot, obtaining candidate sight;
Sorting sub-module, for matching degree, the described candidate sight people current density of the preference according to the traffic convenience degree between the geographic position at the distance between the geographic position at described terminal place and described candidate sight, described terminal place and described candidate sight, the temperature rank of described candidate sight, described candidate sight and described terminal user, described candidate sight is sorted, obtains described point of interest list.
Exemplary, above-mentioned sorting sub-module specifically for:
Utilize based on the collaborative filtering of user, obtain the first preference sight spot, wherein, described first preference sight spot is that the user of described terminal did not access, and similar to the user behavior of described terminal or like the sight spot that similar user accessed;
Utilize the collaborative filtering based on sight spot, obtain the second preference sight spot, wherein, described second preference sight spot is that described terminal user did not access, and the sight spot similar to the sight spot type of the user preference of described terminal;
When described candidate sight belongs to the sight spot in described first preference sight spot or described second preference sight spot, determine that the matching degree of the preference of described candidate sight and described terminal user is for high, otherwise, determine that the matching degree of the preference of described candidate sight and described terminal user is low.
Exemplary, above-mentioned sorting sub-module specifically for:
Ranksvm order models is adopted to sort to described candidate sight.
Exemplary, above-mentioned list determining module 62 specifically for:
From recommending the periphery point of interest obtaining the geographic position at described terminal place interest point set, wherein, described recommendation interest point set be the user preference of described terminal food and drink place set and lodging place set at least one set, the distance between the geographic position at described periphery point of interest and described terminal place is less than default first threshold;
Described point of interest list is determined according to described periphery point of interest.
Exemplary, above-mentioned list determining module 62 specifically for:
According to history scoring, pictorial information, user's original content UGC mention number of times, price, current temperature, traffic convenience degree and and the geographic position at described terminal place between distance at least one information, or, according at least one information in hotel's scoring, star, pictorial information, real time price and favor information, described periphery point of interest is sorted;
Using at least one periphery point of interest of coming above as described point of interest list.
Above-mentioned information recommending apparatus can perform the information recommendation method that any embodiment of the present invention provides, and possesses and respectively operates corresponding functional module and beneficial effect with information recommendation method.
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 (18)
1. an information recommendation method, is characterized in that, comprising:
Obtain the scene information residing for terminal;
According to the list of described scene information determination point of interest, wherein, described point of interest list is at least one list in sight spot list, dining place list and the list of lodging place;
Described point of interest list is sent to described terminal.
2. method according to claim 1, is characterized in that, obtains the scene information residing for terminal, comprising:
The scene information residing for described terminal is obtained within the time of presetting;
Or, when the displacement of described terminal is more than or equal to Second Threshold, obtain the scene information residing for described terminal;
Or, the scene information residing for described terminal is obtained when weather condition is abnormal.
3. method according to claim 1, is characterized in that, according to the list of described scene information determination point of interest, comprising:
Determine whether to recommend sight spot according to described scene information;
When determining to recommend sight spot, obtain the periphery sight spot in the geographic position at described terminal place, wherein, the distance between the geographic position at described periphery sight spot and described terminal place is less than default first threshold;
Described point of interest list is determined according to described periphery sight spot.
4. method according to claim 3, is characterized in that, determines whether to recommend sight spot, comprising according to described scene information:
According to the access route that the geographic position at described terminal place and the user of described terminal set, obtain the current information at next sight spot to be visited;
According to the current information at described next sight spot, determine whether to recommend sight spot;
Or, comprising:
According to the access route of user's setting of the geographic position at described terminal place, the Weather information in described geographic position and described terminal, determine whether to recommend sight spot.
5. method according to claim 3, is characterized in that, determines described point of interest list, comprising according to described periphery sight spot:
The suggestion access time according to current time and described periphery sight spot filters described periphery sight spot, obtains candidate sight;
According to matching degree and the described candidate sight people current density of the preference of the traffic convenience degree between the geographic position at the distance between the geographic position at described terminal place and described candidate sight, described terminal place and described candidate sight, the temperature rank of described candidate sight, described candidate sight and described terminal user, described candidate sight is sorted, obtains described point of interest list.
6. method according to claim 5, is characterized in that, the determination of the matching degree of the preference of described candidate sight and described terminal user, comprising:
Utilize based on the collaborative filtering of user, obtain the first preference sight spot, wherein, described first preference sight spot is that the user of described terminal did not access, and similar to the user behavior of described terminal or like the sight spot that similar user accessed;
Utilize the collaborative filtering based on sight spot, obtain the second preference sight spot, wherein, described second preference sight spot is that described terminal user did not access, and the sight spot similar to the sight spot type of the user preference of described terminal;
When described candidate sight belongs to the sight spot in described first preference sight spot or described second preference sight spot, determine that the matching degree of the preference of described candidate sight and described terminal user is for high, otherwise, determine that the matching degree of the preference of described candidate sight and described terminal user is low.
7. method according to claim 5, is characterized in that, sorts, comprising described candidate sight:
Employing order support vector machine ranksvm order models sorts to described candidate sight.
8. the method according to any one of claim 1-7, is characterized in that, according to the list of described scene information determination point of interest, comprising:
From recommending the periphery point of interest obtaining the geographic position at described terminal place interest point set, wherein, described recommendation interest point set be the user preference of described terminal food and drink place set and lodging place set at least one set, the distance between the geographic position at described periphery point of interest and described terminal place is less than default first threshold;
Described point of interest list is determined according to described periphery point of interest.
9. method according to claim 8, is characterized in that, determines described point of interest list, comprising according to described periphery point of interest:
According to history scoring, pictorial information, user's original content UGC mention number of times, price, current temperature, traffic convenience degree and and the geographic position at described terminal place between distance at least one information, or, according at least one information in hotel's scoring, star, pictorial information, real time price and favor information, described periphery point of interest is sorted;
Using at least one periphery point of interest of coming above as described point of interest list.
10. an information recommending apparatus, is characterized in that, comprising:
Data obtaining module, for obtaining the scene information residing for terminal;
List determining module, for according to the list of described scene information determination point of interest, wherein, described point of interest list is at least one list in sight spot list, dining place list and the list of lodging place;
Sending module, for sending described point of interest list to described terminal.
11. devices according to claim 10, is characterized in that, described data obtaining module specifically for:
The scene information residing for described terminal is obtained within the time of presetting;
Or, when the displacement of described terminal is more than or equal to Second Threshold, obtain the scene information residing for described terminal;
Or, the scene information residing for described terminal is obtained when weather condition is abnormal.
12. devices according to claim 10, is characterized in that, described list determining module comprises:
Submodule is determined in recommendation, recommends sight spot for determining whether according to described scene information;
Sight spot obtains submodule, and for when determining to recommend sight spot, obtain the periphery sight spot in the geographic position at described terminal place, wherein, the distance between the geographic position at described periphery sight spot and described terminal place is less than default first threshold;
List determination submodule, for determining described point of interest list according to described periphery sight spot.
13. devices according to claim 12, is characterized in that, described recommendation determine submodule specifically for:
According to the access route that the geographic position at described terminal place and the user of described terminal set, obtain the current information at next sight spot to be visited;
According to the current information at described next sight spot, determine whether to recommend sight spot;
Or, specifically for:
According to the access route of user's setting of the geographic position at described terminal place, the Weather information in described geographic position and described terminal, determine whether to recommend sight spot.
14. devices according to claim 12, is characterized in that, described list determination submodule comprises:
Filtering submodule, for filtering described periphery sight spot according to the suggestion access time at current time and described periphery sight spot, obtaining candidate sight;
Sorting sub-module, for matching degree, the described candidate sight people current density of the preference according to the traffic convenience degree between the geographic position at the distance between the geographic position at described terminal place and described candidate sight, described terminal place and described candidate sight, the temperature rank of described candidate sight, described candidate sight and described terminal user, described candidate sight is sorted, obtains described point of interest list.
15. devices according to claim 14, is characterized in that, described sorting sub-module specifically for:
Utilize based on the collaborative filtering of user, obtain the first preference sight spot, wherein, described first preference sight spot is that the user of described terminal did not access, and similar to the user behavior of described terminal or like the sight spot that similar user accessed;
Utilize the collaborative filtering based on sight spot, obtain the second preference sight spot, wherein, described second preference sight spot is that described terminal user did not access, and the sight spot similar to the sight spot type of the user preference of described terminal;
When described candidate sight belongs to the sight spot in described first preference sight spot or described second preference sight spot, determine that the matching degree of the preference of described candidate sight and described terminal user is for high, otherwise, determine that the matching degree of the preference of described candidate sight and described terminal user is low.
16. devices according to claim 14, is characterized in that, described sorting sub-module specifically for:
Employing order support vector machine ranksvm order models sorts to described candidate sight.
17. devices according to any one of claim 10-16, is characterized in that, described list determining module specifically for:
From recommending the periphery point of interest obtaining the geographic position at described terminal place interest point set, wherein, described recommendation interest point set be the user preference of described terminal food and drink place set and lodging place set at least one set, the distance between the geographic position at described periphery point of interest and described terminal place is less than default first threshold;
Described point of interest list is determined according to described periphery point of interest.
18. devices according to claim 17, is characterized in that, described list determining module specifically for:
According to history scoring, pictorial information, user's original content UGC mention number of times, price, current temperature, traffic convenience degree and and the geographic position at described terminal place between distance at least one information, or, according at least one information in hotel's scoring, star, pictorial information, real time price and favor information, described periphery point of interest is sorted;
Using at least one periphery point of interest of coming above as described point of interest list.
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| CN201410805906.0A CN104504064A (en) | 2014-12-19 | 2014-12-19 | Information recommendation method and device |
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| CN201410805906.0A CN104504064A (en) | 2014-12-19 | 2014-12-19 | Information recommendation method and device |
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