WO2018150434A1

WO2018150434A1 - Table of content and indexed based two level search engine

Info

Publication number: WO2018150434A1
Application number: PCT/IN2017/000144
Authority: WO
Inventors: Mrunmayee Milind BHALERAO
Original assignee: Bhalerao Mrunmayee Milind
Priority date: 2017-02-14
Filing date: 2017-12-27
Publication date: 2018-08-23

Abstract

A System and method for overcoming drawbacks of existing search engine is provided. Different table of contents (TOC) are created and grouped as per topics. Information is stored in the last level element of TOC. The method includes generating, storing web links, addresses, and Internet of Things (IoT) device services and their addresses topic wise in TOC elements. Method includes two levels searching, with different day to day required topics for web, address and Internet of Things (IoT), arrangements on web pages as fixed and variable, and displaying posted nsws in dynamically changing all social network relations of an individual user. Last level information is displayed as fixed, new, sorted, indexed, mobile applications, advertisements and alike as per application.

Description

1 -Title - Table of content and indexed based two level search engine.

FIELD OF INVENTION

Present search engine is black box. User has to think for inputting a query. Invented search engine overcomes the drawback of existing search engine by providing fixed, variable and searching features. The present invention is of hybrid two level search engine which is implemented using combination of table of content and index search; Search engine for searching web links, addresses and Internet of Things are invented; Search results are in terms of different levels (groups) of table of content elements; news feed postings are displayed on display bars of an individual as per newly created social network relations and TOC level elements.

BACKGROUND OF THE INVENTION

Hybrid, two levels, search engine is invented as a combination of topic wise table of content (TOC) and index. Search engine search web URL Links, useful addresses, and Internet of Things (IoT) addresses and their services. For web,URL of images, audios, videos, text etc. are searched and displayed. Under address useful addresses are displayed. Under Internet of Things (IoT), a device physical address along with service information is displayed. Web info, IoT information and addresses are displayed as fixed, advertisement, regular, indexed, new and regional language and alike, with pagination under last level of TOC.

Terminologies used for TOC various nesting levels are listed below. Terminologies used are domain, sub domain, subject, page, category, subcategory and Information.

Normally for TOC, header level 1 to header level N is used.

Any terminologies can be used. There can be more nesting levels with different names.Single link, image, video, audio, address and IoT information is the lowest level as information and domain is the highest level.

Many different or similar types of categories are grouped /classed together to further form a page, many differentor similar types of pages are grouped/classed/collected further to form a subject and different or similar types of subjects are grouped/classed/collected to form sub domains, sub domains are grouped/classed/collected to form domain, and so on. Last level has actual information which user is searching and nested under subcategory. Subcategory is nothing but a query or a small topic, in which the user is interested, which is given readymade on TOC. Subcategory or hyperlink titles are collected from machine learning by crawling informalion or fed by user, or system provider.

L6 Domain 1 domain 2 domain N

I

L6 Sub domain 1 Sub domain N

I

L5 Subject 1 Subject N

I

L4 Pages 1 Pages N

I

L3 Category 1 Category N

I

L2 Sub category 1 Sub category N

I

LI Links 1 Link

N/Addressl Adc^'ressN/loTl loTN

Many subcategories are grouped to form a category. E.g. aged people category will have sub categories or tasks covering their all requirements related like diet, psychology, daily routine, exercise, clothing's, care, different products, technology aids, nurses, old age homes, entertainment etc.. There is limit on showing subcategories TOCs for any topic. Categories relating to same topic, but having more subcategories, are named further like as e.g. old aged 1 ... old age n. Second search engine provides additional queries TOC subcategory wise.

Let us take an example of education. Sub domain TOC level as engineering is very wide and is made up of subject levels of different specialization courses like civil, mechanical, electronics, etc. Any course is studied in N years as TOC level pages (i.e. page per year).Taking subject TOC level as Civil Engineering, it has four pages.

80 Each page has N categories for different subjects forthat particular year.Subject chapterstitles, multiple choice questions of that subject, interview questions etc. are subcategories of any subject category. Students need not keep on searching various links, categories individually.

85 Categories per page, per subject or per domain are stored, arranged and displayed accordingly.

User searches for day to day frequently required web applications, addresses and IoT addresses and services. Many users are not even aware that web applications are

90 available for their requirements. To overcome this problem, some themes/topics are found out and arranged permanently as fixed, which need not be searched. Themes are selected such that, they are day to day activities of every user or IoT device. Themes are office tasks, all aged

95 people tasks (babies, children, ladies, gents and old age people), education, startup business, money, entertainment, health, sports, Government and International etc. These themes are presented in terms of nesting levels of pages, categories, and subcategories and alike. 100 Other information is made available through search engine along with fixed once. Any search engine is a black box. User is not aware of what information is there in the black box. To overcome this, some of the variable themes/topics or TOC levels are varied or changed regularly with some

105 frequency (say after 15 days). This retrieving continues in cyclic manner from start to end of information from invented search engine database, till each and every piece of information is brought in front of user from black box. If readymade variations are presented, it is useful for the user,

110 which saves time, and brings new knowledge in front of the user. Any storage system meant for web/addresses loT related information is arranged and retrieved in this manner.

Information is provided with fixed, changing some of it in 115 cyclic manner and search engine arrangement. A complete solution is provided.

For a single query, topic related, all similar or dissimilar TOC level elements are displayed as output of first search engine. Along with it Links, addresses, IoT information, 120 query related images, videos, audios are also displayed in the output level. Once the result or the query matching the result is displayed, one cannot dig in to it for more accurate information in existing search engine. This problem is 125 overcome by inventing and providing the second level search engine. This engine allows searchingfor more new queries on a particular topic (subcategory or category) again and again.

There are many scenarios, where people are in a group but 130 not known to one another, or do not wish to connect with each other personally and permanently. Everyone wants something new. Existing relations are deleted and new relationsare created at the time of news feed postings. Relations are not permanent, but keep on changing 135 completely. While creating relation there is no request and permission process. No personal information is made available. We call this network as dynamically changing social network.

Some of the needs of human beings are common and useful 140 for everyone. News activities related with such common things (fixed categories) are displayed to people without knowing any person. There is no need to find out likings of individual. System provides such a platform for sharing information related with common needs, without 145 connecting to one another permanently and without disturbing the privacy of the individuals. Relations keep on changing every time when news feeds are posted.

Thing in loT is a small constrained node or device. The concept of the Thing in IoT is that, it communicates

150 information of interest, records, and processesit potentially at any time, any place, and to anyone, when needed. Thing is also known as a constrained node. The information is made available by a single node or a number of nodes in a group. When the information is available through some

155 physical Thing oi object, we call it a physical Thing i.e.

RFIDs, sensor nodes, motes, actuators, bar codes, are all example of Things. Fridge, TV, Laptop, temperature of a room, and humidi^~y in an atmosphere are some examples of physical Things. Physical things monitor, control and keep

160 track of some physical parameter.

There are various types of Things available with IoT. Wireless sensors with tags represent physical Things and physical Things with actuators represent a smart physical Thing. An actuator controls the parameter.

165 Things interact with Things and people and vice versa.

Things operate individually, or in a group forming a network. E.g. environment's physical data is represented by a single Thing, but other Meta information has to be represented in a group. It imitates information and while 170 doing so, it manipulates the required resources and services. They do many tasks autonomously. A Thing senses, records, processes, communicates, moves, and maintainsit's own privacy and security. It has the decision making capability, self awareness, and limited intelligence. It takes

175 care of its own life with power monitoring, saving, wastage, and the availability of power. Things create, manage, and destroy other Things i.e. Physical Things generate or destroy other Things. When edge technology has the intelligence to add many smart automatic reconfigurable

180 properties mentioned above for Things, it is a smart Thing.

E.g. RFID with actuators and sensors with actuators. Smart Thing is commonly known as a Thing. As per Intelligence of a Thing, level of smartness is decided.

Web, addresses or IoT TOC level elements have different

185 group activities contributed by Things, or human beings, or a combination of both as per topic of TOC level element.

SUMMARY

A system utility of ready to use web information 190 arrangement in terms of fixed and variable table of content TOC levels e.g. categories, along with hybrid two level search engine is invented. Table of content for every topicis provided with different nesting levels.

Scaling of search result is implemented through invented 195 search engine.Single query provides multiple queries results of similar or dissimilar topics related to the query, at a time, in the invented search engine. Category level works as a basic unit of search result display and for any other tasks. Along with the two search engines, fixed and 200 variable TOC levels e.g. categories are provided. Fixed and variable levels do not require to be searched. Fixed levels are different verticals. Frequently required tasks are arranged as fixed. Other than fixed, information is present in the black box. This hidden information is presented in 205 front of the user under variable levels. These variable levels are changed with some frequency in a cyclic manner.

The invented search engine is a collection of many verticals or topics together. Every category is a small part of search topic. All parts of the same topic are connected together in

210 terms of categories. Hybrid search engine provides table of content for different vertical topics and indexed based searches. TOC levels of the same and related all topics are connected in a graph where sequential and star connections of any level element are available. Because of the to and fro

215 movement and star display feature all related TOC level elements are displayed at a time upon selection.Maximum numbers of searches are eliminated because of these arrangements and graphical connections.

Single TOC level category element includes N number of 220 links, audios, videos, related applications, news, newsfeed postings and other features. Result of a search displays one or multiple matching level elements in terms of categories.

One of the embodiments provides two different kinds of search engines. Of which, the first search engine searches

225 TOC nesting level elements like links, subcategory, category, page, subject, domain or other higher levels in terms of categories. It also searched for URL links based on index based searching. Output of first search engine is displayed in terms of single or multiple categories or levels,

230 as per matching of query. Links, audios, videos, images, addresses and IoT information are displayed in terms of different types as fixed, new, ad, sorted as per SEO, indexed, mobile applications, Internet of Things, regional and alike through search output as per topic. In the

235 information of last level second search engine is provided.

Query in the second search engine, is searched or executed on an opened subcategorylevel or category database onlywhich reduces the comparisons in database. For index type information is searched under all related topics and is 240 stored under Index. Queries, other than the table of content are searched through it.

One of the embodiments provides different types of categories or TOC level element structures types as basic, business, celebrity, address, Internet of Things (loT), songs, 245 movies and alike.

Another embodiment is for creating a dynamically changing social network, for posted news feed display of day to day required activities. Postings are submitted to users, who are ηοΐ known to one another. Existing relations 250 are deleted and new relations are created every time, when new news feeds are required to be posted. No personal information is shared in dynamically changing social network. These postings are seen on, as per TOC level elements and topic wise display bars.

255 BRIEF DESCRIPTION OF THE DRAWINGS

Fig. l is a block diagram of an exemplary hybrid two levels search engine with other features as a complete system;

Fig. 2 is a flow diagram which explains process of different inputs, their storage and connections arrangements;

260 Fig. 3A is a flow diagram of an exemplary process that explains steps for fixed and variable levels with or without mode;

Fig. 3 B is a flow diagram of an exemplary process which details about changing variable levels steps;

265 Fig. 4A is an exemplary flow diagram, which explains creation of basic and complete category level of TOC;

Fig. 4B is a flow diagram of an exemplary process for creating and displaying a complete TOC level with all features e.g.Page;

270 Fig. 5 is a flow diagram of an exemplary process for creating customized TOC level;

Fig. 6A is a flow diagram of an exemplary process for link processing as crawling, search engine optimization, and displaying them as per classification or types;

275 FIG.6B is a flow diagram of an exemplary process for search engine optimization sequence.

Fig. 7 is a flow diagram of an exemplary process of first search engine execution steps;

Fig. 8A is a flow diagram of an exemplary process of 280 second search engine execution steps;

Fig. 8B is a flow diagram of an exemplary process for connecting an invented hybrid search engine and searching through connected search engine API like Google, Bing etc.; 285 Fig. 9 is a flow diagram of an exemplary process of news feed in dynamically changing social network;

Fig. 10 is a block diagram of exemplary dynamically changing social network components;

Fig. H is a block diagram of exemplary dynamically 290 changing social network contributors;

Fig. 12ais a collection of an exemplary screen shots, of various outputs of invented system search

engine.DETAlLED DESCRIPTION

Present invention is applicable for providingURL links and 295 other web information easily to users with sharing and displaying of news, activities among the users who are not connected in any type of social network.

Hybrid search engine has table of content (TOC) and indexed searching. TOC has many levels as domain, sub 300 domain, subject, page, category, subcategory, and link / address/ loT information and alike.All algorithms or flowcharts are explained with page or category levels. All algorithms are equally applicable for any nesting levels like domain, sub domain, subject, page, category, subcategory, 305 and link / address/ IoT information. Nesting level names can be different or more nesting levels are possible, but same algorithms are applicable. FIG. 1 displays detailed block diagram, of various major components of an invention. Input, 100 of various nesting

310 levels and their details is accepted and stored in respective tables of database 140. There is any hierarchy of nesting levels e.g. domain, sub domain, subject, page, category, sub category, links etc. For Web search, URLs of web applications, images, videos and alike are accepted as

315 inputs. For web search images, videos and audios are uploaded directly by users without URLs. For Address search mode, Address of a business, along with holidays, working details, images, videos, contact details and alike are accepted as input. For Internet of Thing (IoT) mode

320 smart Thing/ sensor IP address, service details, shared, non shared, mobile, moving, port details and alike are provided. For all three modes, information accepted above is of last nesting level.

Search engine uses categories as basic unit of working.

325 Information is provided into three ways. Some of the information (categories) is displayed on menu bar as fixed 110, 105 variable information (categories) as per mode of search engine and hybrid search engine. Day to day frequently required information categories are provided as

330 fixed categories. They need not be searched. Information present in the search engine black box is displayed in cyclic manner under variable category headings. Categories under this menu are changed/ replaced with some frequency from search engine. Because of this, user gets each and every

335 piece of information, in front of him automatically.

User submits the query related with web URL 115, address 120, and IoT 130 as per search mode in the first search engine 150. Search engine, searches on all TOC nesting levels and displays 170 results accordingly. Matching

340 information is displayed as per nesting level. Output is displayed either as a single category or multiple categories for any levels match. Every category provides N applications 180, advertisements 175 and display of news feed 165 as per its topic along with links/address IoT

345 information on TOC category element. News fed stored in database, are used further for posting them on individual account holder display bars 195. As per distribution pattern new relation is created dynamically, forming dynamically changing social network 192. Detailed explanation is given

350 in FIG. 9.

Every category has N subcategories or subtopics or queries. Every subcategory has matching links/address/IoT information stored under it as a last level. If user does not get required information, he use second search engine 185

355 which is provided along with the last level content. Second search engine is available along with every last level content separately. Second search engine searches on a single page, category and subcategory etc. Second search engine helps in finding a unique required information as

360 links (image, video, etc.) /address/ IoT information, application/ dynamic news feed etc. output is providing the matching information. Input queries are stored along with queries or subcategories for future use.

Figure 2 is a flow chart for creating to-fro movement chain

365 of pages (moving from one topic to another topic) or levels, or chain of various elements of any same nesting levels. Flowchart also explains steps for star connection and display of all elements of a single level. To explain logic we consider page as level LI and category as level L2.

370 There are N numbers of categories under a page. User inputs all nested level details of a level e.g. pages, categories, sub categories along with links as 200. User inputs details about position, or previous, next element, page 205. Information owner inputs connection details of a

375 submitted level for graph connection 208 with other elements of TOC. As per position, level e.g. page is inserted 210 as first, intermediate or as a last page in a chain. Connect all level 2 elements and make graph connection of all categories 215 and other level elements. 380 With graph connection, all categories of any level or page node is seen at once. With chain, user move to and fro by one position. Chains and star connection are made for web, address and IoT search modes, various levels. Applications 220, advertisements 225, news 230 and news feed 235 are

385 input as per level LI or L2 every element.

Figure 3A explains the method for displaying fixed and variable web media publishable content or items stored in any database of a web application. Every person requires web applications for day to day tasks / topics. These tasks

390 may be day to day activities in office, all age people tasks, education, money, startup of company/ business, entertainment, health agriculture, country wise government and international, and like are arranged on menu bar in terms of different levels.

395 These items are fixed levels elements e.g. starting categories of daily required pages under various subjects' title of menu bar. Fixed categories for every search mode are predefined 300. Different logical groups of fixed levels e.g. categories are arranged on web pages of anyweb

400 application, or mobile applications but not limited.

All categories other than fixed are marked as variable levels e.g. categories at the time of input. Select search mode 302 as web URL link 310, address 315, and IoT 320. As per search mode fixed levels e.g. categories are 405 displayed 325 on web pages. Variable levels e.g. categories 330 are also displayed as per algorithm explained in for FIG- 3B.

If no search mode is selected, fixed and variable levels of all search modes are processed 302. All fixed 333 and 410 variable 335 levels are displayed at once, irrespective of a search mode.

Any storage system is a black box, and needs to be opened regularly. Opening is a retrieving and changing of information in cycle with some frequency, in front of users.

415 This cycle continues from start to end of stored information, repeatedly. Alternatively, new submissions in storage is presented first as a variation and then stored in asystem. This retrieval and presentation process is applicable to any stored, new useful information either for

420 online or offline applications.

Figure 3B explains the steps for changing and displaying web media publishable content or items in cyclic manner, stored in any database of any web application. Steps are explained using categories, but applicable to any nesting

425 levels or web media publishable content or items. Figure 3B explains the cyclic change of variable categories for M number of days. Select Variable categories and change the status as marked 350. Process 352 selected items, which is related with arrangement style, enhancing the display style 430 etc. Display these categories for M days 355. After M days, check if all variable categories are displayed 360 or brought in front of user? If not, start from step 350. Else reset 370, status of all marked variable categories and start from step 350 again.

435 FIG. 4A explains creation of basic TOC level or basic category as c 1. 465 step Groups, different or same types of subcategories, small topics or queries of a single topic under category say cl . Grouping of different or same types of existing subcatEgories or queries of a single topic under

440 category cl with machine learning468 is also done.

Different types of information as URL links/ address/IoT 473, is stored under subcategories or queries of a topic or category. Figure 2 explains the different connection patterns of categories with same or different levels, related

445 with same or different topics. They are sequential, star, nested or tree and graphical as per requirement. To move from one category to next 476categories and for displaying it, logicis provided. To move from one categoryto previous480 categories and for displaying it, logic is

450 provided. All categories connected in sequence (path from one node to another node) are displayed at once 483, with one button click. Categories are displayed with star connection of every node in a graph 485. This is basic category. It has different movement and display options

455 along with groups of different and similar queries.

Matching Links of queries are nested under subcategories, subtopics or queries titles as table of content. Subcategories are nested under categories. This basic category is displayed 493 with wrapped additional features 490 or

460 displayed 493, as it is. When any, extra feature other than explained is provided on a category, we call it as complete category.

Extra features 486 are attached as like feature, share feature, display message from invented system to users,

465 attach topic wise web services, attach news feed option, attach daily updates or news, attach save feature to save category on a book mark bar, attach topic wise e- commerce applications, but not limited. All features are shown in single box, as their sequence, do not matter.

470 Complete category is displayed as a wrapped basic category with N features on it.

Category extra and basic movement features are, provided on bars along with inner body of subcategory titles with nested URL links or information and input actions. 475 Category title is displayed on the first or top most bars. One of the bar has next, previous, save, like, share, star (display all categories related with it), message features on it. Another bar has blog, purchase, e-commerce, resale, topic related other web service etc. on it.

480 Inputs of subcategory and all types of links, videos, audios, and images are given with feature provided in front of every subcategory of a category.

Figure 4A is a basic unit or category for displaying information of a search engine result.Categories extending

485 to same topic are named as e.g. old aged 1 old age n. categories names are extended based on place, year , alpha numeric series and similar.The sub category titles can be in text or in graphics format. These subcategory or small topics titles are nothing but possible searching words,

490 phrases, sentences, and their combinations.

Basic and complete, table of content level creation and display is explained in figure 4B. Select any level sub level items under it. e.g. page as LI and categories 400, as LI 1, LI 2, L13...L13 under it. Attach image 404, video 408,

495 audio 412, subievels and alike, to every sub level query LI 1 , L12, L13...L13. Figure also explains various features like move next, move previous actions. Next movement 417 is LI to L2. or L2 to L3 and so on. Previous movement 416, is L2 to L I , or L3 to L2 and so on. To display 500 immediate nested level all elements with single click 418 feature is provided. Steps 400 to 418 explains, the formation of any TOC basic level, applicable to higher than or equal to category level.

Figure 4B explains how a complete TOC level is formed 505 with different features on it. These features may be used with different algorithms of the system or method. Level LI has like feature 424, which tells how many users like it and don't like. Share 428 allows sharing selected media information to any of the friends on the social media. Save 510 feature 432 allows saving the Level LI on a bookmark page. Messages 436 are provided to user from invented system provider to help for easy use of features. As per subject of level LI or sublevels LI 1.... LIN, user feed day to day useful activities or news 440 and share with 515 unknown viewing users on a dynamically changing social network. System provides features for displaying news feed 4201evel wise, sub level wise.

As per topic of level or sublevel, blog 444 may be made available from an expert. As per topic of level or sublevel, 520 system provides web service 448. E.g. If level is of tours and travel, web service for booking of hotel, of travelling means will be made available. As per subject of level or sublevel. purchase and resale 452 of items services are provided separately. Level wise e-commerce services are 525 provided. Daily updates or news 456 are also provided, as per topic of level or sublevel.

Along with ever)^* level N groups are created and displayed 422. These groups are online activities related with the level topic. Groups are owned and contributed by human 530 users and Internet of Things (loT) Things users individually or collectively. Group members are only human beings, IoT Things, or both in combination.

Such single complete TOC level is formed as a bundle of all above features and displayed 460. Various means for

535 displaying these categories for user convenience are provided. Instead of subcategories, categories, page, subject... mentioned nesting levels any other terminologies and more nesting levels are used. Basic Level and complete level formation is equally applicable to level higher than or

540 equal to category level.

Level features are provided on bars along with inner body, with subLevel titles with nested links and input actions. Level title is displayed on the first or top most bars. One of the bars has next, previous, save, like, share, star (display

545 all Level related with it), and message features. Another bar has blog, purchase, resale, and topic related web service etc. on it. System provides different types of categories as per requirement. Above category 4A explained is complete 550 category. Using diese features with new once, customized categories are formed. System provides special category for companies, celebrities, Internet of Thing, addresses, songs, movies etc.

Address category or TOC level has different fields than 555 URL Link last information level fields. Internet of Things (IoT) last information level has different features than any other category. Other features are same as a complete TOC level or category.

Figure 5 is for customized TOC level e.g. category creation 560 and display. URL owners, input, type of category they want as a customized category 500 along with all nesting inputs.

TOC level e.g. category has designer borders and backgrounds 505 provided by the system for category box.

This category has limited subcategories under it. Category 565 has a big photo image 507 of business, celebrity etc. Along with subcategory audio, video, images subcategories are available like a basic category. Separate video scroll bar

510 and image scroll bar 515 are provided under category.

Video and audio scroll bars are provided, so that company 570 show their new information easily. Audio, video, image sub categories will have all stored items respectively. Category provides blog 520; news feed 525 features as basic Category type. Category has address and contact details 530 features. Features 500 to 530 provides celebrity,

575 business category and alike. This customized category is extended further for song and movies category.

Many big groups, companies or celebrities have many URLs and other information. Upon searching, we get only one as per matching. Our solution provides all information

580 of company at one place.

If special category is of type audio type, information stored in one of the category as audio files 538 with song title in the last level. Audio player plug in is attached 544 for controlling the audio songs. There are limited textual

585 subcategories.

If special category is of video type, information stored in one of the subcategory is video and multimedia files, 542 with video title in the last level. Video player plug in is attached 548 for controlling the Videos. There are limited

590 textual subcategories along with Video.

As per type of information in category or TOC level last level, it is displayed 560.

Figure 6 explains the steps for arrangement of last level URL links or information for display under various types' 595 630, as fixed, new, ad, sorted with search engine optimization, Index, Internet of Things, mobile applications, , regional links and alike. Along with these types additional types are added as per topic of level. E.g. for education conference, journal papers etc are added.

600 URL Link or information and its type is given as an input by link or information owner, as 600. New URL Link or information is displayed under title new in descending order 625, for N number of days. After N days, URL Link is crawled 608, web page URLs and keyword data is

605 extracted, from URL link. Invented system provides readymade table of content. All crawled, web page URL Links are stored 610 as per subcategory, category or other matching last TOC levels. Other than URL links, address, IoT information and alike is stored 620 as per subcategory,

610 category or other matching last TOC levels. Search engine optimization 625 is applied on every type of URL link or information. All titles of Links types are displayed 630 with tabs. Tabs allow viewing any one type information at a time. Tabs limit information display at a time. Search

615 engine optimized URL links or information is converted to and moved under, other types of information or link as title, index, IoT, app or regional title etc from new type.

For search engine optimization 625, user feedback 640 is taken into consideration along with many other features. 620 Along with the web URL link, information, and scheme details 645 of a link are displayed. Every web application may be having some schemes, like some discounts on service for a particular date, or for number of days. It will be displayed which will help in getting business for the site.

625 Like option 650 is provided for links as another feedback feature.

First search engine working steps are elaborated in Figure 7. User needs to select a search mode 710. System provides all types of links, addresses and Internet of Things

630 application details under different search modes. After selecting a mode, user inputs a query 715. Query is filtered 720. Filtering removes unwanted words like conjunctions etc. Once actual words are separated from a query, they are matched with all level keywords 730. SEO statistic 740 is

635 taken into consideration for displaying last level results. All matching, levels are displayed 750 in terms of pages, categories and alike. Along with last level URL Links or information, second search engine 752, is made available. Figure 8 A is given for second search engine. Second search

640 engine is available in every subcategory along with URL Links or useful addresses or IoT information. Select and open one of the levels from the output of first search. E.g. let us say select and open a required subcategory. Input a search query 810. While inputting query, matching queries

645 alphabetically are displayed. If matching query is found, queries are displayed 815. If query don't exists, then filtering is done on it. Filter the query 822 for unwanted words like conjunctions etc. Matching 830 is done on the filtered words with all web pages or URL keywords under

650 that level and one higher level. With this search, exact matching URL pages or addresses or IoT information 850 will be provided as per search engine optimization 840. If input query matches with existing query, matching URL links or information result is displayed in terms of different

655 types, taking into consideration search engine optimization.

FIG. 8B explains steps for connecting existing search engine readymade database API with invented hybrid search engine. Database is connected 870 to invented table of content based GUI system. Invented first or second

660 search engine query input 875, or table of content subcategory levels or query, is forwarded 880 to connected search engine API. Results are displayed 890 as per format of connected API format, i.e. in terms of Links.

FIG. 9 embodiment, for dynamically providing news feed

665 about activities and general news of subject users, in dynamically changing social network is presented. Subject user is one who is submitting news. Viewing user or viewer is one who is reading the news.An embodiment for dynamically changing social network news feed sharing is

670 explained. Dynamically changing social network means no users know each other, but still system provider is deleting existing relations and creating new relations. News feed frame format do not provide any personal information on it. Frame has news, dummy title, like button and comment.

675 Like and comment are provided to get feedback of quality of postings. At the time of relation creation, no request is sent. At the time of every news feed, existing relations are deleted and new relations are created. New relation is created with different users than previous ones as per

680 distribution pattern.

News activities may include media content and/ or links to media content and similar. Viewers interacts with the postings, to tell the subject user, whether the news is good or not and any other comment has to be given. Viewer may

685 only send comments, queries about the news feed in the form of message to the subject user. Viewers may send whether he likes the news, and of what quality it is? These three fields exchange very superficial information about only news feed content. Subject users reply the query. No

690 other communication is made possible. Because of changing relation, users get variation in information. As per number of postings and account holders, posts per user are decided.News feed may be displayed in a required sequence. There may beNdi splay bars for every user as per

695 categories. Some fixedtopics are arranged as per search mode, which are useful for everyone. Postings related with these fixed topics are submitted to every user without any permission. These fixed topics are day to day activities, all aged people requirements, education, money,

700 entertainment, startup/business, country government with all states, international countries, cooking, art, news agriculture, health and sports, information for daily wedges and similar.

FIG. 9 explains the flow diagram for news feed. News 705 feeds are generated by subject users of a dynamically changing social network. The network provider can be any web application where many users are account holders, but not connected to each other. E.g. all email systems, or any other web application;User is connected to network through 710 one or more different user devices.

First step is news feed generation. News, activities in terms of web media, are selected 905.User connects any publishable media content in the form of images, graphics, videos, audios, and alike. Actions 910 for internal 715 processing are added to manage news feed databases. Directions comprise of selection of fixed topics bar and their databases for news feed display. Another direction is for translating the language of the news. Active links 920 as, useful URL links of web applications are connected to 720 news feed.News feed frame format has fields, like profession of subject user, his /her dummy picture,is added automatically from user profile in the news feed form. Subject user adds the subject of news. News feed is then uploaded.

725 News fed is filtered 940for unwanted content like nudity pictures, rape videos, or terrorism related activities etc. Next step has two actions. First action, is displaying 955, submitted news feed category wise. Any users see these postings; they are open for everyone; Here Second action is

730 of deleting 950 existing relational database completely.

Viewers' selectionprocess takes into account matching of language in news feed and of viewer as first criteria irrespective of location. Pattern or Sequence965 of news feed distribution is random, or in the same sequence as

735 accounts created, or selecting only even or odd account holders but not limited. Every time any one of the above distribution pattern is selected. Care is taken to feed every activity toonly N viewers and not all viewers. Indirectly every time, before news submission, new relations 740 975aredeveloped dynamically. I.e. new relational database 960 is created dynamically. Relation between these users allows sharing subject user profession, and comment with each others. Nc other personal profile information is shared.

745 All news feeds are collected and stored category wise, then as per distribution pattern, news feeds are distributed and displayed 985 on account holders single or multiple display bars. News feeds may have activities of an individual and around, society, atmospheric, industrial, advertisements and

750 similar.

FIG.10. is an embodiment for dynamically changing social network components, dynamically changing social network uses a user limited profile database 1010 for sharing with unknown person. Privacy and indirectly security is

755 provided to subject user and viewers. Distribution component 1030. decide number of postings per user as per their language and distribution pattern. They are limited by grouping N users in a random sequence, or grouping N users as per sequence of account generation, or grouping N

760 users as per sequence of odd account number generation, or grouping N users as per sequence of even account number generation. Number of postings may be in big number. They may be distributed to limited users. System monitoring module 1020, monitors behavior of subject user 765 and viewers. These behaviors are used further for deciding search engine optimization;

Relational database is managed 1040, every time new news feeds / postings are required to be distributed to users. There may be possibility that all relations in a relational

770 database are deleted, or only some are deleted to whom postings are required to be submitted, or there is possibility that, news postings from different submitting users are posted than existing relation. New postings are to be added dynamically at the top of the display bar. Similarly they

775 may be removed from bottom.

FIG.l 1. explains an embodiment for dynamically changing social network news feed sharing and posting. Dynamically changing social network 1135 means no users know each other, but still creating relation for submitting news feeds.

780 News feed frame format do not provide any personal information on it. Frame has news, dummy title, like button and comment. Like and comment are provided to get feedback of quality of postings. At the time of relation creation, no request is sent. At the time of every news feed,

785 existing relation is deleted and new relation is created. New relation is created with different users than previous ones. The user submitting the news or activity is called as subject user 1110. There are different types of subject users along with human. Any computing device, single Thing or groups

790 of things in Internet of Thing technology can be a subject user. Things have some minimum level of functionality, such as changing and communicating the parameter under observation as per smartness.it senses, records, processes, communicates, moves, and maintains its own privacy and

795 security. They have the decision making capability, self awareness, and limited intelligence. They may be physical 1115 Things or virtual 1118 Things. In one of the embodiment, user may be aany computing device, physical or virtual Thing in Internet of Things or a human being for

800 feeding news through user devices. Viewer may be human or Thing. Things send their activities to people in a broad casting way in a network of small area or big as of interest, like traffic jam photos in a particular area, environmental conditions.

805 Their may be plurality of user devices 1125 used for submitting the news and activities. User devices can be any mobile device or any stationary device. Network 1130 can be wired, wireless, cloud or communication network. Dynamically changing social network provider 1135 can be

810 any web application, having number of account holders, but not connected with each other. Account holders submit news, activities through their account. As limited information is shared, privacy of every account holder is maintained. All types of subject users' activities and news 815 are fed into plurality of databases 1140. Every user has their, own display bars. Some of the category display bars are shown after sign in, or made available for open use for everyone.

Then they are distributed and displayed further like 820 broadcasting way as per language through respective web applications.

Advertisement is in the form of audio, videos, graphics, images, scrolling text at the top or bottom, but not limited to; Upon clicking the individualadvertisement, web

825 application linkis opened;

In some embodiments, advertisement are displayed category wise, ar_d on news feed display bars. Examples of advertising include, but are not limited to, a depiction of a product, a depiction of a logo, a display of a trademark, an

830 inducement to buy a product, an inducement to buy a service, an inducement to invest, an offer for sale, a product description, trade promotion, a survey, a political message, an opinion, a public service announcement, news, a religious message, educational information, a coupon, 835 entertainment, a file of data, an article, a book, a picture, travel information, and the like. The format of the advertising includes, singularly or in combination, an audio or animation or other multimedia element played at various times, banner advertising, network links, e-mail, images,

840 text messages, video clips, audio clips, programs, applets, cookies, scripts, and the like, but not limited to.

As per fixed topics, which are applicable for everyone, postings are displayed accordingly on different bars 1050 meant for these topics along with single mixed posting bar.

845 The embodiments discussed herein are illustrative of the present invention. As these embodiments of the present invention are described with reference to illustrations, various

modifications or adaptations of the methods and or 850 specific structures described may become apparent to those skilled in the art. All such modifications, adaptations, or variations that rely upon the teachings of the present invention, and through which these teachings have advanced the art, are considered to be 855 within the spirit and scope of the present invention. Hence, these descriptions and drawings should not be considered in a limiting sense, as it is understood that the presentinvention is in no way limited to only embodiments illustrated.

Claims

A system or method dealing with table of content and index based two level search engine with news feed in dynamically changing all relations in a social network, comprising :

Providing hybrid search engine, which searches as per topicintable of content(TOC) titles or index wise; Providing any WWW URL search; providing address search; providing Internet of Things (IoT) information search; providing video search; providing audio search; Searching in first search engine provides the matching query output in terms of TOC level elements; Searching in second search engine provides execution of more queries; Fixing and arranging sets or number of ready to use TOC level elements for day to day activities; retrieving and changing different level elements in a cyclic manner from start to end of information; Providing customized TOC level element structure;

Providing further searching by forwarding queries to existing search engine API, through table of content and index based invented search engine; feeding and posting useful activities of any content provider to account holders , on dynamically changing social network and displaying them level element wise and on single or different display bars ;

2. The method of claim 1, wherein, providingsearching ofy WWW URL, audio, video, image, anyuseful address and any Internet of Things service information;

3. The method of claim 1, Wherein, TOC level hierarchy comprising domain, sub domain, subject, page, category, subcategory and then any information and alike hierarchical levels nested one inside another; Any hierarchy names (e.g. headers hl ...hn) can be used with more or less required levels;

4. The method of claim 3, Wherein, providing further subcategories (second last nesting level under any header),or queries, or small topics or hyperlink titles as queries under category on a particular topic manually, or collecting through machine learning applied on results of crawled information;

5. The method of claim 4, wherein, creating further, different groups of users including humans and IoT Things under the category comprising of various activities as per its topic;

910 6. The method of claim 4, Wherein,for every text URL topic subcategory providing address, Internet of Things (IoT), audio, video, and image subcategories along with it;

7. The method of claim 3, further, inputting topic 915 wise table of content (TOC), for various level elements as per WWW Links, useful addresses, IoT device information, by system provider or by contentowners;

8. The method of claim 5, further,displaying last level 920 element input information like URLs of images, videos,audios, addresses and IoT information or their uploaded information as fixed, table of content wise, advertisement, new, as per index, mobile apps, advertisements, and alike as per topic;

925 9. The method of claim 4, wherein, crawling is done on submission of any type of URL and web page URLS, images and videosand web pages text filesare extracted;

10. The method of claim 9, further indexing crawled

930 web pages text filekeywords, images and videoswhich are stored as per TOC level topics under the subcategories;

1 1. The method of claim 3, Wherein, extending any TOC level element topic, by connecting N same level elements to it as an extension indicated with names having location, alphanumeric series, years, or alike titles in it;

12. The method of claim 3, Wherein, naming of any TOC level element titles in text or graphical format is done;

13. The method of claim 3, wherein, connecting all related elements under single level in sequential manner for to and fro movement, one by one; E.g. Ll l ,L12,L13...etc;

14. The method of claim 3, Wherein, connecting all related elements LI l,L 12,L13...etc under single level LI in star manner; e.g. Subject TOC level has many pages; User can see all the pages at once with a single click on the subject;

15. The method of claim 3, Wherein, connecting any level elements of one topic to any level elements of another topic as per requirements forming a graph;

16. The method of claim I, wherein, arranging and displaying further, some of the TOC level 955 elementso-i menu bars or by other means as fixed with different logical useful themes;

17. The method of claim 1, wherein changing ahead, some of the TOC level elements arranged on menu bars in cyclic manner continuously, with some time

960 interval forming a variable level in terms of categories, or irrespective of search mode; changing of levels continues till each and every information in a particular storage system is displayed or brought in front of users as explained in figure 3B;

965 18. The methcd of claim 17, wherein retrieving or changing cycle is applied on any stored media content information throughTOC level elements;

19. The method of claim 1, wherein all query related matching TOC level elements are displayed in

970 terms of complete category TOC level;

20. The method of claim 19, wherein further, incorporating means for moving to and displaying next category e.g. from Cl l to C12, C12 to C13 etc .;

975 21. The method of claim 19, wherein further, incorporating means for moving to and displaying previous category e.g. from C12 to Cl l, C13 to C12 etc .;

22. The method of claim 19, wherein, providing means on CI, and Cl l or C12 or C1N for displaying all same level elements at once, which are connected in sequence e.g. Cl l, C12,...C1N;

23. The method of claim 19, wherein, providing means on every TOC level elementCl for displaying all graphically connected same or different topic level elements to CI ;

24. The method of claim 19, wherein claims 20 to 21 forming basic category level element structure ;

25. The method of claim 24, wherein further providing advanced feature as like feature; Like feature is used further for search engine optimization technique or alike;

26. The method of claim 24, wherein providing another advanced feature as save feature for storing required category elements on the book mark bar;

27. The method of claim 24, wherein providing advanced feature for displaying daily updates or news as per topic of category;

28. The method of claim 24, wherein providing another advanced feature as topic wise e-services;

29. The method of claim 24, wherein providing another advanced feature to display posted news feeds TOC element wise;

30. The method of claim 24, wherein providing another 1005 advanced feature as e- commerce of books and magazineas per every category CI topic;

31. The method of claim 24, wherein providing another advanced feature as messages to users provided by system owners or URL owners which is same as

1010 help;

32. The method of claim 24, wherein providing further another advanced feature for e-commerce purchaseapplication related with every category CI topic;

1015 33. The method of claim 24, wherein providing further another advanced feature for e-commerce resale application related with every category C 1 topic;

34. The method of claim 24, along with, claims 25 to

33, forming and displaying a complete category

1020 element structure, as a bundle of all basic and advanced features;

35. The method of claim 24, wherein , basic TOC level element structure is formed by replacing category element with required TOC level element;

36. The method of claim 34, wherein , complete TOC level element structure is formed by replacing category element with required TOC level element;

37. The method of claim 1, wherein, providing customized TOC level element structures, by incorporating more features as per applications, like business, celebrities, internet of Things, Songs, movies and alike;

38. The method of claim 37, wherein, providing designer decorativefeatures applied to complete TOC level element structure, for giving unique look;

39. The method of claim 37, wherein, attaching further a big photo of celebrity or company etc.;

40. The method of claim 37, wherein, attaching further video scroll bar other than video subcategory ;

41. The method of claim 37, wherein, attaching further image scroll bar other than image subcategory;

42. The method of claim 37, wherein, attaching further company oar celebrity blog;

43. The method of claim 37, wherein, attaching events details of companies or celebrities;

44. The method of claim 37, wherein, attaching feature for providing contact details of companies or celebrities like multiple addresses or single address, 1050 email, mobile no, etc.;

45. The method of claim 37, wherein, formingvarious categories like business, celebrities, internet of Things, adoressand alike using claims 37 to 44;

46. The method of claim 45, wherein, further creating 1055 song category structure, byattaching audio player plug-in with various controls on it;

47. The method of claim 46, wherein, further audio advertisement is played before every song;

48. The method of claim 45, wherein, further creating 1060 movie category structure, by attaching video player plug-in with various controls on it;

49. The method of claim 48, wherein, further playing video advertisement before starting of video; adding and displaying an advertisement in different

1065 window, but exactly overlapping the video player;

50. The method of claim 1, wherein, feeding query in the first search engine;

51. The method of claim 50, further, filtering of query removes unwanted words like conjugates, stop

1070 words etc.;

52. The method of claim 50, wherein searching and matching is implemented using number of threads for faster results;

53. The method of claim 52, further matching a query 1075 with all nested level elements topics titles and displaying results in terms ofcategories for any TOC level match; For matching link , category is displayed along with opened subcategory with links display; For matching subcategory, all categories 1080 are displayed with highlighted matching subcategories;

54. The method of claim 53, wherein, arranging of last level i.e. subcategory content is done as per search engine optimization;

1085 55. The method of claim 54, wherein, displaying further, subcategory's content as per claim 8;

56. The method of claim 55, wherein, providing second search engine along with last level content; Searching with more queries on opened subcategory

1090 andcategory, in more detail is done;

57. The method of claim 1, wherein, inputting query in second search engine of any URL text, image, video, audio, address or IOT;

58. The method of claim 57, wherein, displaying 1095 alphabetically matching stored queries at the time of inputting the query;

59. The method of claim 58, wherein, upon selecting displayed matching query, the system further displays results as per claim 8;

1100 60. The method of claim 58, if query is not matching i.e. if it is new, it is stored as a subcategory under same category for second search engine;

61. The method of claim 60, wherein, new query filtered keywords as per claim 51, are searched and

1105 as per matching with web pages of URL links under opened subcategory and category a new result is displayed as per claim 8;

62. The method of claim 1, wherein, first and second search engine uses invented system's database;

1110 63. The method of claim 1, wherein, connecting first or second search engines or table of content of fixed, variable and any TOC levels subcategories to database of standard existing search engine API, instead of invented system databasee.g. Google or

1115 Bing etc.;

64. The method of claim 63, wherein, forwarding ahead input queries or selected subcategories frominvented search engine, to connected standard search engine API, database;

1120 65. The method of claim 64, wherein, displaying matching results in terms of links and addresses as per existing search engine formats of Google, or Bing etc;

66. The method of claim 1, wherein Web URL last 1125 level comprising fields such as web page URL, title, keywords, feedback and scheme fields for display in the last level;

67. The method of claim 1, wherein Address last level comprising fields such as Addresses of persons,

1130 tourist places, social places or business places and alike; Address consists of name of business, services, keyword, survey number, road name, village name, city name, State name, N number of bus routes with bus numbers, images of business

1135 place, service etc., video related with business, map, multiple branch display, telephone number, mobile number, working days and working hours, Web URL if available, what's up number etc. for display but not limited;

1140 68. The method of claim 67, wherein grouping of fields is done under titles such as address, photo, map etc... to get the details with single click;

69. The method of claim 68, wherein fixing level theme as city; City comprising of star connected

1145 hierarchy, of all day to day useful addresses required by every person in terms of categories for display;

70. The method of claim 68, wherein fixing level theme as industry; industry comprising of star

1150 connected hierarchy, of all day to day useful addresses required by every person in terms of categories for display;

71. The method of claim 1, wherein TOC nesting levels hierarchy and element structure of address, and IoT

1155 , is same as URL mode except last level content / information; allowing searching of any information asweb URL, audio, video, address and IoTservices from a single search engine;

72. The method of claim 1, wherein,for I Internet of 1160 Things (IoT) search, last level comprising fields, as

Things whether mobile or stationary, IP address, postal address, ownership as public, private, or government, map, site address for sharing service of a Thing, graphs, predictions, analysis, profit, loss, comment etc are displayed as on a single page;

73. The method of claim 72, wherein displaying of global, country, state, city Avise maps for a particular type of Thing, are made available;

74. The method of claim 73, wherein providing further displaying maps for particular type of Things, with given radius from a given center point is provided;

75. The method of claim 1, wherein , displaying posted news fed by one account holder, to any other unknown account holder in a dynamically changing social network, comprising; participating subject user (news feed submitter) and viewing users (news feed viewer) are human beings or any Thing or computing device; generating a plurality of news feeds for viewers presentation on different topics of fixed categories, groups or any topic TOC level; attaching links to news feed;storing the plurality of news feed activities in the database; deleting existing relations ; creating a new relation dynamically without any request to viewing user; selecting viewing users as per distribution pattern,and creating a new relation; displaying news feed on TOC level elements topic wise and in individual account as single and multiple display bars to viewing users; privacy settings are static as 1190 per nesting levels individually;

76. The method of claim 75, wherein subject or viewing user is a single Thing, group of Things in Internet of Things or any computing device or human being;

77. The method of claim 75, providing further, 1195 generation of news feed; selecting and attaching media content as news , activities of person or Thing etc. to news feed generation form;

78. The method of claim 77, attaching further active links as per requirements in the news feed

1200 generation form;

79. The method of claim 77, attaching further actions for database processing related withdisplay;

80. The method of claim 77, further providing change of language in the news feed;

1205 81. The method of claim 80, submitting further, news feeds by subject users;

82. The method of claim 81, wherein filtering is done to avoid displaying unwanted, problematic news feeds to viewing user;

89. The method of claim 88, wherein adding and displaying advertisements along with news feed postings;

90. The method of claim 88, wherein further, new news feeds are posted and placed at the top of all display bars as per date and time in descending order; news feeds are removed upon overflow of feeds;

91. The method of claim 90, wherein monitoring interaction of viewers with subject user postings for the quality and quantity of news feed postings by individual is done;

92. The method of claim 91, wherein redistributing the best quality news feeds to every viewing user with rotation;

93. The method of claim 91, wherein removing harmful and low quality news postings as per quality given by viewing user;

94. The method of claim 75, wherein privacy of subject user is decided in database design statically;

95. The method of claim 94, wherein viewing user can interact with subject user and vice versa for any query discussion;

96. A system or method for hybrid two level search engine with news feed in dynamically changing social network comprising;

a hybrid search engine module for searching various 1260 topics in terms of nesting levels;

a module for accepting various, different inputs, and storing them in a database;

a module for connecting different TOC level elements in graphs by sequences, star, nested

1265 pattern or as per user requirement;

a module for searching of web URL, image URL, video URL, uploaded image, video and audio;

a module for searching useful addresses ;

a module for searching Internet of Things

1270 information ;

a module which displays fixed TOC level elements; a module for changing TOC level elements in a cyclic manner with some frequency to display every piece of information in front of users from database;

1275 a module for providing e-commerce purchase, resale, e-service and advertisements, as per topic of nesting level elements;

a module for saving TOC level elements names on a bookmark bar; a first search engine module which searches and gives result in terms of various TOC level elements a module which arranges and displays the last level information as fixed, new, advertise, sorted as per search engine optimization logic, Internet of Things, mobile applications etc. and alike as per topic, along with second search engine;

a second search engine module which searches in detail on a single opened subcategory and category; a module for creating and displaying customized different TOC level element structures as address category, business category, celebrity category, Internet of Things category, Song, movies and alike;

a module which deletes and creates a relation dynamically between subject and viewing user at the time of posting of news feeds;

a module for sharing news feeds along with advertisements on dynamically changing social network, wherein, news are fed as per fixed or variable topics activities of categories or TOC levels, to everyone; where news feeds are displayed TOC level element topic wise, on TOC elements, and on single or multiple display bars;

1305 97. The method of claim 96, wherein last level display for any search type is as per claim 8 along with more or less details as per topic;

98. The method of claim 96, wherein arranging of groups of subcategories or TOC level elements as

1310 fixed, variable or customized categories without any movement actions and advanced features is done as per requirement;

99. The method of claim 96, wherein using of only grouped subcategories as per claim 4, at the place

1315 of basic or complete category is done as per requirement:

100. The system of claim 96, wherein TOC levels elements are linked, networked or connected in hybrid manners to other TOC levels elements like

1320 categories, pages, subjects or domains forming a graph;

101. The method of claim 96, wherein displaying TOC levels and advertisements as per location of user for searched, fixed and variable TOC elements

1325 is done;

102. The system of claim 96, wherein fixed TOC levels are of any theme of text URL, audio, video, image, addresses and IoT services;

103. The system of claim 96, wherein working with only 1330 first search engine along with fixed and variable TOC level elements arrangement is possible, providing TOC levels output of invented search engine

104. The system of claim 96, wherein working with only first search engine along with fixed and variable TOC

1335 level elements arrangement is done as per requirement, providing only links output display as per standard search engine output;

105. The system of claim 96, wherein searching queries only in the form of TOC level elements without

1340 indexing is sufficient, as links are submitted directly as per topic; acting as table of content based system;

106. The system of claim 104, wherein information under index as per claim 8, provides additional indirectly related with many other topics matching

1345 information, than the TOC level submitted links topic;

107. The system of claim 102 and 103, wherein displaying tabls of content based system with existing search engines standard result display format, instead of displaying results in terms of TOC levels is done as per 1350 requirement;

108. The system of claim 96 , wherein implementing system on plurality of cloud types;

109. The system of claim 96 , wherein implementing system with plurality of load balancer;

1355 1 10. The system of claim 96, wherein mirroring of system database is done to create replicas of database;

1 11. The system of claim 96, wherein system database is on single or separate servers;

1 12. The system of claim 96, wherein, plurality of 1360 actions carried out at every part of system and by users are monitored and stored into system and personal database tables; further, they are taken into consideration for search engine optimization;

1 13. The system of claim 96, wherein, plurality of 1365 advertisements are in the form of videos, audios, graphics, images, scrolling text and alike;

114. The system of claim 96, providing less steps, features in any algorithm as per requirement is implemented;

1370 115. The system of claim 96, providing more steps, features in any algorithm as per requirement is implemented;