In traditional marketing you're looking to define your targeted audience for your business or organisation. In Internet marketing things work in the same way. Unfortunately, with the growing popularity of the Internet in the past years and with the growing number of people building sites, a certain part of the online audience has been overlooked.
The easiest way to increase your added value is to do small things that have a large positive return for the company. If you’re looking to find something easy to do that has a large positive impact on your value, look no further than thinking about search engines and how your portion of a Web site can be optimized for them.
Advanced search is the ugly child of interface design--always included, but never loved. Websites have come to depend on their search engines as the volume of content has increased. Yet advanced search functionality has not significantly developed in years. Poor matches and overwhelming search results remain a problem for users. Perhaps the standard search pattern deserves a new look. A progressive disclosure approach can enable users to use precision advanced search techniques to refine their searches and pinpoint the desired results.
One of the dirty little secrets about being an information architect is that most of us only bat .500 at best. We labor and agonize over making recommendations and designing information architectures that are supposed to change the world, but many of our designs never see the light of day. Rather than moan about why my designs were not implemented, I want to share my story.
Findability is one of the most thorny problems in web design. This is due in part to the inherent ambiguity of semantics and structure. We label and categorize things in so many ways that retrieval is difficult at best. But that’s only the half of it. The most formidable challenges stem from its cross-functional, interdisciplinary nature. Findability defies classification. It flows across the borders between design, engineering, and marketing. Everybody is responsible, and so we run the risk that nobody is accountable.
This paper examines a large number of failed queries submitted to a web image search engine, including real users' search terms and written requests. The results show that failed image queries have a much higher specificity than successful queries because users often employ various refined types to specify their queries. The study explores the refined types further, and finds that failed queries consist of far more conceptual than perceptual refined types. The widely used content-based image retrieval technique, CBIR, can only deal with a small proportion of failed queries; hence, appropriate integration of concept-based techniques is desirable. Based on using the concepts of uniqueness and refinement for categorization, the study also provides a useful discussion on the gaps between image queries and retrieval techniques. The initial results enhance the understanding of failed queries and suggest possible ways to improve image retrieval systems.
If you have been looking into Internet marketing, you have probably seen Adwords mentioned now and again. Why don’t we cover the basics of the program. Adwords is the name of the pay-per-click system offered by Google on its search engine.
Users hold search to a human standard of understanding that computers cannot as yet achieve. This is more than just a curiosity: The Turing test has something to tell us about how we can better design our website search interfaces today.
Web designers often tell us that they spend a great deal of their limited time and resources working to improve their on-site search engines because, they believe, there are some people who always rely on the search engine to reach their target content. They find further support for this assumption from Jakob Nielsen who, in his book, 'Designing Web Usability,' asserts that more than half of all users demonstrate 'search-dominant' tendencies by going right to the search engine when they first visit a web site looking for content.
First, there were butlers. Then, there were search engines. Today, there is Jeeves, a hybrid less expensive than the former and more user-friendly than the latter. Others have followed in Jeeves's footsteps, but his loafers are hard to fill. While he is no longer an original, he continues to be invaluable for net-novices and net-addicts alike.
Search engine optimization or SEO is very important to get your website listed in search engines. Even if this is the first website you have built there are a few basic and easy steps that will help you with optimizing your website without being a pro.
The SEOs with white hats conduct legitimate optimising of web pages to make the site come up appropriately in the Search Engine Results Pages (also called SERPs). The back hat SEOs implement tricks to appear high in the results pages even if the web site is not necessarily relevant. The range of tricks is astonishing. But most of the techniques used by white hat SEOs were similar if not identical to the guidelines given by accessibility experts.
This guide is designed to describe all areas of search engine optimization - from discovery of the terms and phrases that will generate traffic, to making a site search engine friendly, to building the links and marketing the unique value of the site/organization's offerings.
The author argues that progress in search requires vigorous inquiry into how search can be embedded into application environments such as those for decision-making, personal information collecting, and designing.
Recently, Office Depot redesigned their search user interface, adding attribute-based filtering and creating a more dynamic, interactive user experience. Unfortunately, Office Depot’s interaction design misses some key points, making their new search user interface less usable and, therefore, less effective. That’s the bad news. The good news is that the Office Depot site presents us with an excellent case study for demonstrating some of the important best practices for designing filters for faceted search results.
Web content readability is an often underestimated aspect for a web site. There are design rules for designers to follow, and there are SEO tips and tricks for SEO experts to use. But this is not all. Though beautiful designs and search engine optimization are extremely important, there are also other issues that a web marketer needs to consider in order to run the site successfully. Readability is one of them.
Search engine accuracy is important, but convenience may be more important than squeezing the last few ounces of performance out of your system. Peter Van Dijck demonstrates simple but effective query analysis, best bets, and controlled vocabularies -- tools to make your search engines more effective.
While goal-driven analysis is wonderfully useful, we’ll explore a different, “bottom-up” approach that relies on pattern analysis and failure analysis to help you understand your users’ intent in qualitative ways that complement the top-down approach.
It is difficult to apply the lessons learned from e-commerce search interfaces to more complex ones, such as those for libraries or technical material. This article provides a guide to tailoring search interfaces to users with a persona-based approach.
My new theory on blogging is that whenever I can't find a particular piece of information on Google I should just create it myself. What's the point of all this easy-to-use publishing technology if you don't publish stuff, right?
Desperation, ignorance, and a moral compass that doesn’t point due north often get perfectly logical, good people and companies in trouble with search engines. Because being listed high in search results is such a desirable goal to attain, many people search for shortcuts to the front of the line—which can land them in serious trouble.
The only effective way to promote a website is by hosting unique, quality content. Search engine optimization and paid inclusions are a waste of time and money if there isn't a compelling reason for your visitors to come back once they have found you.