Tuesday, September 30, 2008

iAgent - a blueprint which transformed the internet




iAgent - an initial study

Ever wonder how is information gathered and retrieved in the internet? When you typed http://depzzy.blogspot.com, ever wonder how the blog is retrieved? This is an introduction of one of the earliest commercialized information processing system - iAgent. (early days? Think of altavista.com, excite.com and the first inception of yahoo.com!)

iAgent was developed by researchers in Kent Ridge Digital Labs. One of them being Dr.Kok F. Lai, who is the co-founder of BuzzCity Pte. Ltd. The first version of the system was introduced in 1997 and was later adopted by AltaVista, a premier search engine at the advent of the popularization of the Internet. This write-up is based on the original engine in 1997.

It is a system developed for information collection and retrieval, especially in for multilingual and networks environments. This original blueprint has been expended to accomodate for major languages in the world, including Korean, Tamil, Chinese, Malay. Bahasa Indonesia, Thai, English, etc.

There are 3 important parts of this engine, namely: Information Gathering, Freetext Engine (Indexing, Retrieval), WWW interface.

Information Gathering:
iAgent works with well-known protocols. These include HTTP, NNTP, POP, FTP. These protocols would allow the agent to collect the information widely available on the internet. HTTP works with DNS names to retrieve valid content, NNTP retrieves information from newss servers, POP enable connectivity of email systems and FTP for transfer of messages among network nodes.

Freetext Engine:
After the information gathering, the Freetext Engineer will create inverted freetext index to enable document retrieval in the future. Treat this as a library indexing machine. We have many type of material in the library, such as: audio & visual products, books, documents, graphical material, computers, etc. The freetext engineer puts a label on these items and enables them to be identified quickily.

The retrieval process can support different query strings, such as: keywords or Boolean operations (AND, OR, NOT). These would present the document in a clustering format and it would also show the document extract. These clustering and document extract are the most common database retrieval results in nowadays. This enables people to form initial opionion about the document they want to retrieve.

WWW Interface:
This is a common protocol used to interface with browsers, such as Microsoft's Internet Explorer, Firefox, Opera, etc. The results retrieved from the retrieval process would be presented in HTML format. The document would be retrieved via URL of the document after users have selected it.

Study Notes:
We may take this simple engine for granted nowadays but back in 1997, it was a great invention and helped shaped the internet technologies as we know today. This engine provides a blueprint for information collection and retrieval system development since then, especially those that emphasize much on multilingual characters. A later development has seen paterns and graphical recognition being integrated. This would be studied in next article.

Please find more information about iAgent from here Technical Paper

Mobile Internet Publishers' Havens?




BuzzCity
- Championing the developing countries, such as: Indonesia, Philipinnes, South Africa, Ghana, Kenya, Middle East, Thailand, Sri Lanka, Pakistan, India - Low rate at $0.01 at any country, even including banner advertisement - Minimum spending at $20 only!





AdMob
- Expensive rate relative to conversion rates in developing countries - Main traffic is in United States, tailing BuzzCity in other developing countries - Higher payout! (According to AdMob forum users)



Yahoo & Nokia

- Just for premium brands that can afford high CPM






Google


- New (and "still" small) player on the mobile block

ZestAdz, Mobango, Mkhoj, Mojiva, Agamata

- New (and small) players on the mobile block

Admoda

- most expensive entry point at $500
- Need to pay transaction cost yourself!

DeskTrade

- minimum bid of $0.05 at any country, simply one of the most expensive!
- only for publishers who are confident of sustaining high CPA cost

QuickTips:

1. Use BuzzCity if you want to spend little and earn considerably enough. The King of networks in developing countries.

2. Use AdMob if you want to earn a lot and the majority of users you want are in US.

3. Use BOTH, if you want the best of both worlds!




MPhil Draft - Next Wave Marketing

A Description of the Research Problem:

This research project explores the extent to which mobile advertising has grown since 2000, especially in developing countries, where the ratio of mobile phone ownership is usually higher than personal computer ownership. According to Frost & Sullivan research, the ratio of Mobile Phone vs PC is standing at 40% to 10% in most developing countries. Gartner further forecasts that mobile advertising investment would increase to $11.8 billion by 2011 from a mere $ 2.7 billion in 2008.

In view of this, this research focuses in particular on these areas:
1. Potential Market of Mobile Advertising
2. Major Companies in this field (BuzzCity, AdMob, MadHouse, etc.)
3. Major Technologies comparison among the companies
4. Marketing Return of Investment (ROI) for Mobile Advertising
5. Marketing Methodologies (Charge Per Click, Charge Per Impression, etc.)
6. Marketing Targets & Preference (Geographically Distributed, Culturally Distributed, Monetarily Distributed)
7. Influence of Mobile Social Networking technologies (MyGamma, Facebook Mobile, MySpace Mobile, etc)

Why The Research is Important:

1. To forecast the business model for Mobile Advertising
2. To help businesses decide the potential ROI Mobile Advertising
3. To probe on the differences of Mobile technologies vs. Internet technologies and what are the influences

Empirical Research Methodology:

A few methodologies would be deployed for this research, such as the conventional sampling, and data collection & analysis. I hope to engage major companies (such as: BuzzCity) to understand what onine engine that they deploy to gather their research data they published in the early 2008. I hope to work with these companies to formulate some data collection engines to be deployed through their existing mobile networks.

* Complete research proposal would be supplied upon request.

Funding Request:

I hope to complete this research as part of my MPhil Research and hope that interested party can contact me to supply funding. I can work closely with sponsors to formulate my research towards the industrial use for your company.

Estimation of Expenses:

University incurred Research Fees: US$4k per annum
Travelling: US$1k per annum
Material Course: US$1k per annum
Research Expenses: US$1k per annum

Total: $7k per annum

* Complete financial estimation breakdown would be supplied upon request.

Contact:

depzzy@hotmail.com

* Complete resume would be supplied upon request