Now a days the we can observe the growth of the users andcontents in multimedia as there are rapid advancements takes place.

With thehelp of large scale video data set & MSNs, the digital contents are easilyaccessed by the users.  As a result, the communication between user &user and user & system increases.  Hence, providing of personalizedservices timely and rapidly may become complex interaction. It become achallenge in social networks of the multimedia. Usually the computing &speaking of the multimedia can be classified into three types.

First one isdata centric compression of multimedia, communication of the content centricmultimedia & multimedia. The analysis of the user centric social media considers the trust modeling of the user and mining pathspropagation & sharing of the digital right ad forensic which is digital innature. So that, content users of the multimedia exact needs understanding& guessing in various situations study is not done well. The first proposalis CA which is the short form of Context-Aware .

Here, the context is definedin terms of location, nearby people, objects, objects changes all these areconsidered a set.  After that the Situ theory proposed by Chang with thecombination of environment of the service using the awareness of the situationfor regulating the changing updates oor run time service developments. Hence,we reached the user needs which changes and we can offer personalized userservices. The awareness about the situation is necessary for offering thetimely response and good environment in service. then we can easily adapt tothe dynamic service. The human is considered as open and complex system insocial media networks. The intention of one person may change at any time sothat the needs of the user also changed.

However, as the behavior of the humanand context is dynamic in nature. The needs of user may changes based on thedynamic change characteristics. we can say that based on various studies.  According to the user situation and resources feedback the userintention can be reflected. According to the intention of the user, the userpersonalized services timely can be done by a system. It leads the experienceof the user services. There are various roles in various group for the users insocial media networks.

The intention of the user may be changed based on thevarious identifications. The users behavior changes is reflected by theintention changes of the user. Coming to the social media networks, based onthe various identities, user intention analysis may not reach the full accuracyby Situ theory. The primary motivation of the social media networks sequencesmode user intention analysis. The major advantages of this implemented systemis enrichment as well as advancement of the Situ theory in social domain. and second one is proposal of the novel algorithm to analyses thebehavior pattern of the user.

The main motto of this implemented system isprediction of the in depth user intention and earlier work large volumeaccording to the mental intention. The progress of this work done on thefollowing sections. The 2nd section having the related works, further sectioncovers the Situ theory advancement,  next one describes the intentionserialization algorithm & details and its results presented in 4th section.Final one shows the conclusions.

. 2RELATEDWORKSsituation   analysis  theory importance and influence as well as Situ   theoryin software engineering studied. The details of the situ system that givesservices of the personal, based on detection of the service update in realtime. Ming et already raised the analysis of the spatial method according tothe theory of Situ. After that the Rahman et al proposed the sharing of theuser data in social circle with friends with the help of a service which issocial.

SenseFacen framework used for users service recommendation withinformation of multimedia and network of user sensor of the data. Shen et alstated that the relationship of the social network and environment of thesurroundings. It can able to detect the situation of the user and preferences,relationship of the users which are nearer  by computing the situation ofthe user similarities & guessing the user situation.

After  that Zhang et  al, advanced N gram prediction algorithm for predicting the webaccess request which come in future with log data of the server. Bar-David etal  proposed guessing the user location based on the earlier objects thatare in moving. If we discard the moving object errors. According to the differentcontext positions for predicting the vehicle position, context-aware positionprediction algorithm proposed. Lee  et al  designed another algorithmto allow the smart phones users for accessing the easy services in time. Forpredicting the intention of the user and offering the correct services thecondition of the  event  behavior model along with  ruleinduction algorithm stated. It is used for finding the mobile users intentionsMSNs.

a data of the user noise as well as discrete in MSN. For mining andanalysis this will not be useful. So that we have to gathered the date of theuser preprocess earlier.  The theory of the change situation analytics isfor the software which is not much appropriate for engineering applications.For providing the best services personally, with context and MSN situations.

For gathering the sequence of the intention of the user I proposed thealgorithm of the novel to analyses the user sequences of SocialSitu(t) withGSP advancements.3.MSNs SITU FRAMEWORK EXTENSION Therewill be huge number of users in various groups in MSNs. They are playingdifferent role in those groups.  So the desires of the persons may deepenon the role. The enrichment of the Situ advancement of this framework in socialmedia, represents in the following section Definition  1   (Situation(it)):  At t time the situation can be represented It represents  the that having the 3ple , Situation(t)= {d, A, E}. Herethe user desire referred by d at t interval,user action can be represented by A. d is the achievements.

At time t,the context of the environment referred by the. E(SocialSitu(t)) as the 2nd Definition:  Situationcan be represented by it att.It is the  Situation(t)    extensional  in the domain which is social in nature. . SocialSitu(t is the 4thpleSocialSitu(t) = {ID ,d,A, E}. Identityinformation of the user can be represented by the ID; At t,Thedesire of user can be represented by d Definition 3  (ID): Identity information of the user can be represented by the ID ; 2pleID= {Group, Role}. Thereshould be good relation between the group of the user and role in that group inMSNs. .

.Definition 4 (Group): For a specific reason, sometimes small group are created in socialmedia.  It is also a part of the networkof the social mediIt’s a part of the whole social media network.Definition 5 (Role,R): The role of the user in MSNs.set R={r1, r2, …, rn}, Definition 6 (Desire,D): While utilizing the social media , it is the thing what a user need andget{d1, d2,.

.., dn} ? d i(1 ? i ? n) are referred todesire of the user at i.Definition 7 (Goal,G): common target of the user’s G={g1,{g2,… , gn}Definition   8   (Intention,  I):   It  represents the SocialSitu(tuser  sequence towards the achieve target from the  point  toinitial point I={SocialSitu(1), SocialSitu(2), …,  SocialSitu(n)} ? n ? N? SocialSitu(1)The target can be achieved by the user withthe help of intention sequence in Fig.1.

Fig.1. Intention sequencehere, at an particular point SocialSitu(t) represented by every point . startj ( 1 ? j ? n, j? N) Intention(i).we may or may not have same are different initial points. End representsthe closing point Intention(i)..

at Intention(i) every sequence, samenode may be terminated except the end point. 4 USER INTENTION SERIALIZATION ALGORITHMS TheSocialSitu(t) which is frequent at specific goal. The intention of the usersequence is presented in historical access record in MSNs.  The database saves the sequence of the userintention along with a goal which is specific.

By comparing the current usersequence and intention user sequence, we can guess the present user intentionfor making the perfect reply for the request of the user. Then we can providethe service which is personalized. Finding of the intention of the user is themajor issues h