Now a days the we can observe

Now a days the we can observe the growth of the users and
contents in multimedia as there are rapid advancements takes place. With the
help of large scale video data set & MSNs, the digital contents are easily
accessed by the users.  As a result, the communication between user &
user and user & system increases.  Hence, providing of personalized
services timely and rapidly may become complex interaction. It become a
challenge in social networks of the multimedia. Usually the computing &
speaking of the multimedia can be classified into three types. First one is
data centric compression of multimedia, communication of the content centric
multimedia & multimedia. The analysis of the user centric social
 media considers the trust modeling of the user and mining paths
propagation & sharing of the digital right ad forensic which is digital in
nature. So that, content users of the multimedia exact needs understanding
& guessing in various situations study is not done well. The first proposal
is CA which is the short form of Context-Aware . Here, the context is defined
in terms of location, nearby people, objects, objects changes all these are
considered a set.  After that the Situ theory proposed by Chang with the
combination of environment of the service using the awareness of the situation
for regulating the changing updates oor run time service developments. Hence,
we reached the user needs which changes and we can offer personalized user
services. The awareness about the situation is necessary for offering the
timely response and good environment in service. then we can easily adapt to
the dynamic service. The human is considered as open and complex system in
social media networks. The intention of one person may change at any time so
that the needs of the user also changed. However, as the behavior of the human
and context is dynamic in nature. The needs of user may changes based on the
dynamic change characteristics. we can say that based on various studies.
  According to the user situation and resources feedback the user
intention can be reflected. According to the intention of the user, the user
personalized services timely can be done by a system. It leads the experience
of the user services. There are various roles in various group for the users in
social media networks. The intention of the user may be changed based on the
various identifications. The users behavior changes is reflected by the
intention changes of the user. Coming to the social media networks, based on
the various identities, user intention analysis may not reach the full accuracy
by Situ theory. The primary motivation of the social media networks sequences
mode user intention analysis. The major advantages of this implemented system
is enrichment as well as advancement of the Situ theory in social domain.
 and second one is proposal of the novel algorithm to analyses the
behavior pattern of the user. The main motto of this implemented system is
prediction of the in depth user intention and earlier work large volume
according to the mental intention. The progress of this work done on the
following sections. The 2nd section having the related works, further section
covers the Situ theory advancement,  next one describes the intention
serialization algorithm & details and its results presented in 4th section.
Final one shows the conclusions. .

 

2RELATED
WORKS

situation   analysis
  theory importance and influence as well as Situ   theory
in software engineering studied. The details of the situ system that gives
services of the personal, based on detection of the service update in real
time. Ming et already raised the analysis of the spatial method according to
the theory of Situ. After that the Rahman et al proposed the sharing of the
user data in social circle with friends with the help of a service which is
social. SenseFacen framework used for users service recommendation with
information of multimedia and network of user sensor of the data. Shen et al
stated that the relationship of the social network and environment of the
surroundings. It can able to detect the situation of the user and preferences,
relationship of the users which are nearer  by computing the situation of
the user similarities & guessing the user situation. After  that Zhang
 et  al, advanced N gram prediction algorithm for predicting the web
access request which come in future with log data of the server. Bar-David et
al  proposed guessing the user location based on the earlier objects that
are in moving. If we discard the moving object errors. According to the different
context positions for predicting the vehicle position, context-aware position
prediction algorithm proposed. Lee  et al  designed another algorithm
to allow the smart phones users for accessing the easy services in time. For
predicting the intention of the user and offering the correct services the
condition of the  event  behavior model along with  rule
induction algorithm stated. It is used for finding the mobile users intentions
MSNs. a data of the user noise as well as discrete in MSN. For mining and
analysis this will not be useful. So that we have to gathered the date of the
user preprocess earlier.  The theory of the change situation analytics is
for 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 the
algorithm of the novel to analyses the user sequences of SocialSitu(t) with
GSP advancements.

3.
MSNs SITU FRAMEWORK EXTENSION

There
will be huge number of users in various groups in MSNs. They are playing
different role in those groups.  So the desires of the persons may deepen
on the role. The enrichment of the Situ advancement of this framework in social
media, 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}.

Here
the 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:  Situation
can be represented by it at

t.
It is the  Situation(t)    extensional
  in the domain which is social in nature. . SocialSitu(t is the 4thple
SocialSitu(t) = {ID ,d,A, E}.

Identity
information of the user can be represented by the ID; At t,

The
desire of user can be represented by d

 

Definition 3  (ID):
 Identity information of the user can be represented by the ID ; 2ple
ID= {Group, Role}.

There
should be good relation between the group of the user and role in that group in
MSNs. . .

Definition 4 (Group):
 For a specific reason, sometimes small group are created in social
media.  It is also a part of the network
of 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 and
get

{d1, d2,…, dn} ? d i
(1 ? i ? n) are referred to
desire 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(t
user  sequence towards the achieve target 
from the  point  to

initial point I={SocialSitu(1), SocialSitu(2),
 …,  SocialSitu(n)} ? n ? N? SocialSitu(1)

The target can be achieved by the user with
the help of intention sequence in Fig.1.Fig.1. Intention sequence
here, 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 represents
the closing point Intention(i).. at Intention(i) every sequence, same
node may be terminated except the end point.

 

4 USER INTENTION SERIALIZATION ALGORITHMS

 

The
SocialSitu(t) which is frequent at specific goal. The intention of the user
sequence is presented in historical access record in MSNs.  The database saves the sequence of the user
intention along with a goal which is specific. By comparing the current user
sequence and intention user sequence, we can guess the present user intention
for making the perfect reply for the request of the user. Then we can provide
the service which is personalized. Finding of the intention of the user is the
major issues h