Post on 08-Jul-2018
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Project Guide:-
Prof. Supreeth S
Prepared By:-
Aditya Naik (1re12cs005)
Anil G (1re12cs007)
B! Puneet" (1re12cs01#)
Gaura$ % (1re12cs02&)
P': Personali*ed 'e+ earc" n,ine
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ntroduction
Pro+le. tate.ent
/iterature ur$ey
yste. euire.ents and peciication
Acti$ities carried out durin, t"e last t3o .ont"s
4utco.es o t"e acti$ities
!onclusion
!ontents :-
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Search engines present a well - organized way to
search the relevant information from the Web.
However, the search results acquired might notalways be helpful to the user, as search enginefail to recognize the user intention behind thequery.
A particular word could mean many things indissimilar contets and the anticipated contetcan be determined by the user alone.
ntroduction :-
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With the growth of !nternet, people are becomingmore and more dependant on the Web searchengines for their various information needs.
!n spite of the etensive use, there are stillseveral
challenges for search engine.
Contd. :-
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"e .ost co..on pro+le. o .ost 'e+ searc" syste.s is
t"at t"ey do not t"ink a+out t"e dierences a.on, indi$idual
user needs
"e result o t"e searc" process relies e6clusi$ely upon t"euery
"e underlyin, searc" en,ine presents t"e sa.e searc" results
or dierent users 3"en t"ey su+.it t"e sa.e uery notconsiderin, a+out t"eir dierent inor.ation needs and
preerences
Problem Statement:-
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P'8s client-ser$er arc"itecture 3"ic" .eets t"ree
i.portant reuire.ents 9irst co.putation intensi$e tasks
suc" as % trainin, s"ould +e "andled +y t"e P'
ser$er
econd data trans.ission +et3een client and ser$er s"ould +e.ini.i*ed to ensure ast and eicient processin, o t"e
searc"
"ird click t"rou," data representin, precise user
preerences on t"e searc" results s"ould +e stored on t"eP' clients in order to preser$e user pri$acy
olution :-
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9an, /iu et al reco..ended personali*ed 'e+ searc" or
i.pro$in, retrie$al eecti$eness
n t"is paper t"e aut"ors propose a no$el approac" to learn
user proiles ro. users; searc" "istories "e user proiles
are t"en utili*ed to en"ance retrie$al eiciency in 'e+
searc"
6peri.ental outco.es s"o3 t"at t"is approac" to
personali*e 'e+ searc" is $ery eecti$e
/iterature ur$ey:
A 9an, /iu !
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P Palleti et al de$eloped personali*ed 3e+ searc" usin,
pro+a+ilistic uery e6pansion
n t"is approac" t"e aut"ors de$eloped a personali*ed 'e+
searc" syste. applied at pro6y 3"ic" c"an,es to user interests perectly +y ,eneratin, user proile 3it" t"e use o
colla+orati$e ilterin,
A user proile +asically consists o pro+a+ilistic correlations
a.on, uery ter.s and docu.ent ter.s 3"ic" are utili*ed or pro$idin, personali*ed searc" results
B. ". "alleti, H. #arnic$ and ". %itra&"ersonalized Web Search 'sing "robabilistic (uery )pansion*
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>yun,-?oon, >i. et al de$eloped a personali*ed 'e+
searc" en,ine usin, u**y concept net3ork 3it" link
structure
"e paper proposes anot"er searc" en,ine t"at utili*es t"eu**y concept net3ork to personali*e t"e outputs ro. a link-
+ased searc" tec"niue
@ependin, on auser proile t"e u**y concept net3ork
rearran,es i$e outputs o t"e link-+ased searc" en,ine andt"e syste. presents a personali*ed superior uality result
! >yun,-?oon, >i. and un,-Bae !"o =A
personali*ed 'e+ searc" en,ine usin, u**y
concept net3ork 3it" link structure
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+ac$ground study on the proect and nalized the requiredtechnologies.
!dentied dierent modules to be implemented and created thenecessary diagrams.
/id a brush up on technologies.
Started implementing the user interface.
Activities carried over the last two
months
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Outcome
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H/W SYSTE CO!"#$%&AT#O!:
"rocessor - "entium 0!!! 1minimum2 Speed - 3.3 4Hz 1minimum2
5A% - 678 %+ 1minimum2
Hard /is$ - 69 4+
#ey +oard - Standard Windows #eyboard
%ouse - :wo or :hree +utton %ouse
%onitor - S;4A
S/W SYSTE CO!"#$%&AT#O!:
=?>6999>@">>?.3
Application Server - :omcat7.9>8.@
Bront )nd - H:%C, Dava, Dsp
Scripts - DavaScript. Server side Script - Dava Server "ages.
/atabase - %yS(C
/atabase Eonnectivity - D/+E.
System Requirements and Specification
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:he remar$able development of information on the Web has
forced new challenges for the construction of eective searchengines.
:he only input to the search engine is the $eyword and it searchesthe whole WWW to provide the relevant information to the users.
However, most of users are li$ely to use only a few $eywords toconvey their information requirements, and thus the searchqueries usually do not correspond to what the users wantspecically. !n addition, with the huge development of theinformation presented on the Web, it is very complicated for Websearch engines to satisfy the user information requirement onlywith a short ambiguous query.
:o overcome such a basic diFculty of information retrieval,personalized search, which is to provide the customized searchresults to each user, is a very promising solution.
Bundamentally, in studying how a search can be personalized, themost signicant thing is to accurately identify usersG
information.
!onclusion :-
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1 Nau.an o"a..ad >"an and "a"+a* =sin, Personali*ed 'e+ earc" or n"ancin,!o..on ense and 9olksono.y Based ntelli,ent earc" yste.s nternational
!onerence on 'e+ ntelli,ence (C'!CA! ) Pp D2E FD2# 2007
2 "en,yu "u ?in,iu Hu Hian, en
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5 Hu3ei Pan "en,c"en, 'an, and Hinjian Gu =!onte6t-Based Adapti$e Personali*ed 'e+earc" or .pro$in, nor.ation etrie$al ecti$eness nternational !onerence on
'ireless !o..unications Net3orkin, and o+ile !o.putin, Pp 5D27 F5DE0 2007
# >yun,-?oon, >i. and un,-Bae !"o =A personali*ed 'e+ searc" en,ine usin, u**y
concept net3ork 3it" link structure ?oint &t" 9A 'orld !on,ress and 20t" NA9P
nternational !onerence %ol 1 Pp J1 FJ# 2001
7 !"en @in, ?! Patra and 9u !"en, Pen, =Personali*ed 'e+ searc" 3it" sel-or,ani*in,.ap "e 2005 nternational !onerence on e ec"nolo,y e-!o..erce and e-er$ice
( ;05) Pp 1DD F1D7 2005
J ! Biancalana and A icarelli =ocial a,,in, in Iuery 6pansion: A Ne3 'ay or
Personali*ed 'e+ earc" nternational !onerence on !o.putational cience and
n,ineerin, (! ;0&) %ol D Pp 10#0F10#5 200&
& >'- /eun, @/ /ee and 'an,-!"ien /ee =Personali*ed 'e+ searc" 3it" location preerences 2#t" nternational !onerence on @ata n,ineerin, (!@) Pp 701 F
712 2010
10 ? /ai and B o" =Personali*ed 'e+ searc" results 3it" proile co.parisons "ird
nternational !onerence on nor.ation ec"nolo,y and Applications (!A 2005) %ol 1
57E F57# 2005
&e(erences)contd*
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11 B .yt" =A !o..unity-Based Approac" to Personali*in, 'e+ earc" ?ournals!o.puter %ol D0 No J Pp D2 F 50 2007
12 4 "ai Al"ajj and ?G okne =!o..unity A3are Personali*ed 'e+ earc"
nternational !onerence on Ad$ances in ocial Net3orks Analysis and inin, (A4NA)
Pp E51 FE55 2010
1E Kan-joon >i. un,jick /ee Byun,jeon, /ee and ooyon, >an, =Buildin, !oncept
Net3ork-Based ser Proile or Personali*ed 'e+ earc" &t" nternational !onerence on!o.puter and nor.ation cience (!) Pp 5#7 F 572 2010
1D
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1# >utu+ Prac"etaa and Bedekar =ser 'e+ earc" Be"a$iour Erd nternational!onerence on .er,in, rends in n,ineerin, and ec"nolo,y(!) Pp 5D& F55D
2010
17 B Ar*anian 9 Ak"la,"ian and P oradi =A ulti-A,ent Based Personali*ed eta-earc"
n,ine sin, Auto.atic 9u**y !oncept Net3orks "ird nternational !onerence on
>no3led,e @isco$eryand @ata inin, Pp 20J F211 2010
1J @ik /un /ee ' N, and >'- /eun,=Personali*ed !oncept-Based !lusterin, o earc"
n,ine Iueries ransactions on >no3led,eand @ata n,ineerin, %ol 20 No 11
Pp 1505 F151J 200J
1& 9 Ak"la,"ian B Ar*anian and P oradi =A Personali*ed earc" n,ine sin, 4ntolo,y-
Based9u**y !oncept Net3orks nternational !onerence on @ata tora,e and @atan,ineerin, (@@) Pp 1E7 F1D1 2010L 2011 Glo+al ?ournals nc () Personali*ed
'e+ earc" ec"niues - A e$ie3
&e(erences)contd*
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THA!+
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