Economía de la Búsqueda
Search Economy
check out the search-economy swicki at eurekster.com
La Búsqueda de dinero
La Búsqueda es el origen de la Filosofía.
La Filosofía de la Matematica estudia los fundamentos de Razonamiento. Comienza
con el nacimiento de la Teoría de la Identidad y la Medida.
La Search-Economía estudia las técnicas de Captación, Fidelización y Manipulación para controlar
comportamientos complejos de sujetos y adquirir Conocimiento que permita disponer de ventajas estrategicas
en la redistribucion de Información. La Search-Economía no es exclusiva de Internet.
Dispone de escenarios diferentes pero no excluyentes. Su objetivo es una
evolucion y sistematizacion del concepto de paying for ... (paying for
+ model. Ej. placement, keywords, clics). Incluye modelos como voting
with money, voting less/more money, looking for money, o el clasico
generated traffic for potencial money. Su instrumento es reutilizar y transformar la
Información y recrear el modelo Search-Económico basado en una
Relación simbiotica entre Información y Relevancia basado en el concepto
de Escalabilidad y standards. Idealmente, la Search-Economía busca controlar el Lenguaje
a traves de las Búsquedas y los Resultados.
Para ello, intermedia epistemologicamente los Elementos que configuran una
Información, sea del tipo que sea, en busca de Conversión.
La Search-Economía y el Conocimiento
La Search-Economía intermedia el Conocimiento. La
explotación del Conocimiento de la Search-Economía gravita sobre la
intermediacion entre entre el Lenguaje, la Interpretación y
convención. Para ello crea Search-productos y Search-servicios . La
Explotación Search-Economica usa y abusa del Conocimiento. Supone un
ciclo nuevo en el paso de la Economía del Conocimiento a la Economía
de la Búsqueda. La Acumulacion de Información no implica
necesariamente la Acumulacion de Conocimiento. El Conocimiento es la
reclasificacion de Información. La Reclasificacion se guia por unos
criterios. Asi, la Información queda sujeta y determinada a un fin.
La Search-Economía y la Interpretación
La Search-Economía reclasifica la Información.
La Interpretación no esta sujeta ni determinada a un
fin pues es un fin en si misma. La Interpretación es asi Libre y un
Destino de sí misma. La Interpretación no puede ser ni intermediada
ni estandarizada como convención. Tampoco puede ser Search-productos
y Search-servicio. No puede ser instrumentalizada ni transformada en
Objeto ni Sujeto. Pues es el Fundamento del Afuera y del Adentro.
Fases de la Search-Economía Las Fases de la Search economía son la
Captación, la Fidelización y la Manipulación. La Search-Economía se
desarrolla en 3 fases continuamente re-actualizadas: la Captación de
Búsquedas y Resultados. la Fidelización de Búsquedas y Resultados.
la Manipulación de Búsquedas y Resultados.
La Search-Economía se basa en 2 conceptos :
-
los Search-Resultados y
-
la Search-Demanda.
El Buscador es por definición un Buscador de
Resultados y así un Buscador de Información supuestamente Relevante
para el Sujeto que busca. Uno de los principios básicos de la
Search-Economía es la reutilización de los Resultados relacionadas
con la Búsqueda. Podemos determinar el comienzo de la
Search-Economía cuando las Palabras instrumentalizan y se convierten
en activos digitales y por ende, en dinero. La Search-Economía usa
el input primario, que es el Lenguaje natural. Es decir: cuando se
instrumentalizan las Palabras. Lo admisible en Search-Economía no
incluye en su definicion valores morales. De ahi que pueda concluir
la posibilidad de un peligro y un riesgo moral. El uso implica un
posible abuso.
En enero del 2005 se opinaba los siguiente:
The Emerging Search Economy "Insiders at Google tell me that they are seeing important shifts in user
behavior; many users now put URLs into the Google toolbar search box in order to
get to a target site, which suggests that surfers are starting to use search
engines as reliable modes of navigation, not just as data harvesting tools. This
means that search engines are starting to see themselves as portals, as
entryways to the Web, and so we see them partnering more feverishly with
content. Google recently bought mapping service Keyhole and allied with
BellSouth's RealPages.com to sell local AdWords advertising.
Content partnerships with search engines are also the likely result of more
personalized search scheme like the new MyJeeves at Ask.com or Amazon's A9.com.
In these models, the engine retains your search history, even bookmarks, for
easy recall. This record of a users' preferences and past behavior become
extremely valuable to advertisers, especially if the search engine can follow
the user with targeted ads as they move off of the results page and into the
content destinations. This is exactly what some search company executives are
already discussing as a future scenario, establishing networks of partnered
content into which the search engine's team can sell ads.
The emerging world of search also introduces wrinkles into an already tricky
process of getting your content picked up and noticed by the major engines. Many
of these tools now let users tweak and twiddle with the very algorithms by which
results are ranked. Snap.com gives you the option to rank listings according to
their popularity with other users and even according to the length of time
previous users spent on each destination site after clicking through.
Clusty.com, organizes search results into a series of topical folders, so that
relevant listings that might have been pages deep in the results have a better
chance of coming to the surface. According to some leaked screenshots of
experiments at MSN Search, that upcoming engine may have sliders for fine tuning
the rank order according to popularity, timeliness and search term matching.
One search engine marketer bluntly told me that some new tools for
personalized search could wreak havoc in his field because "we won't have one
target to aim at anymore." All of the old methods of optimizing a site for
better search engine exposure become useless if people are rolling their own
algorithms and getting results ranked according to too many variables for any
content provider to anticipate. The upshot? Vendors and content providers will
need to move from low cost search optimizing to higher cost keyword ad buying to
ensure search engine exposure.
Will any of these alternative search engines really succeed in overtaking the
mighty triumvirate of search? Probably not, but then they don't have to. As all
of us become more dependent on search as a navigational tool, personalization,
manipulating algorithms on the fly, planting search boxes on the desktop or in
applications are all features that Yahoo!, Google, and MSN Search no doubt will
absorb over the next few years. The implications and opportunities for content
providers could be subtle but profound: in the ways we advertise on engines and
plant their advertising on our sites; in the way we optimize content to ensure
its placement in results; but ultimately in the way we seek partnerships with
search engines as they start re-positioning themselves as portals rather than
mere tools."
2005 - "Google and Yahoo!'s Overture division have
generated stunning profits from pay-per-clic (PPC) keyword ads on
Search results. But now they face a problem. Demand for PPC ads is
growing faster than supply, which is determined by the growth in the
number of Searches. Demand for the ads is growing rapidly because
advertisers can track the return on investment from PPC ads in
real-time, since they can monitor conversion rates and profitability
per sale. So when an ad is profitable, advertisers bid for more ads.
In some cases, advertisers' budgets are larger than they originally
realized, because the profit from the ads is almost instantaneous
and can be recycled into paying for more ads. As a result, prices
for PPC ads are rising. Google and Yahoo! like that, but they
realize they could make a lot more money if the opportunity for PPC
ads wasn't Límited to Search."
2005 - "Google derives nearly all
of its revenues from advertising, of two distinct kinds. First, it
places advertisements on pages of Search results returned by its own
site. Those advertisements are selected according to the words used
in the Search. Advertisers bid in highly complex auctions for the
right to place ads on results pages for Searches that use specific
terms like used cars,SUVs,and so forth. Second, Google manages
advertising for a wide network of external websites for which it
provides ad placement services. It has combined its Search engine
with sophisticated text-matching and auction systems to target,
price, sell, and evaluate its advertisements, both those placed on its own site and those on its affiliates´."
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