Skip to main content

Defining Vertical Search



Vertical Search
Vertical search, part of a larger subgrouping known as "specialized" search, is a relatively new tier in the Internet search industry consisting of search engines that focus on specific slices of content. The type of content in special focus may be based on topicality or information type. Vertical search may focus on all manner of differentiating criteria, such as particular locations, multimedia object types and so on.

E.g. a. A medical search engine would clearly be specialized in terms of its topical focus
b. A video search engine would seek out results within content that is in a video format.

Type of Vertical search design
In terms of design and implementation, several models are emerging in vertical search:

The vertical search engine as a destination or portal. Often media companies that own these destination sites optimize them and buy keywords on Google to drive their audience to visit.
Vertical search as a complementary Web site application: This model entails embedding a search engine box on an existing, already trafficked site. One example is CertMag.com.


Type of Advertising Model included with Vertical Search

Cost per click,:Advertiser pays only for each time that a user clicks on the advertisement.
Cost per thousand/cost per impression/cost per view:There are the standardized/traditional method of online advertising
Cost per action,:Emerging model in which the advertiser pays, not on click, or for impressions, but only if the consumer performs a specific action, such as purchases a good.
Paid inclusion:Practice of inserting advertisements in organic search results.

Paid listing:Advertisements appear on top of or beside organic listings and are clearly identified as sponsored links.

Source: Wikepedia
POSTED BY SHRUTI KOHLI AT 7:51 AM 0 COMMENTS
Criterias to decide website Usability
Determing Target Users:

1. Focusing on users who already access website to improve satisfaction.
2. Target new users
3. target Search Engines,Advertiserrs

Focussing on design elements:
1. Are animation/graphics hindering user?
2. Page layout impacting performance?
3. Can usability improved by changing navigation structure?

Focussing on usage patterns:

1. Studying user behaviour
2. Determining time user spend on page.
3. Response time of website:Time user get to retrieve information/place an order.

Focussing on Site styles:
1. Focussing on branding?
2. Is cross-site navigation a critical variable?

Source: http://www.sigchi.org/chi97/proceedings/sig/jms.htm?searchterm=website+usability
Labels:

Comments

Post a Comment

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data
1 comment
Read more

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer
Post a Comment
Read more

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will never be p
Post a Comment
Read more