A review site is a website on which reviews can be posted about people, businesses, products, or services. These sites may use Web 2.0 techniques to gather reviews from site users or may employ professional writers to author reviews on the topic of concern for the site.
Early examples of review sites included ConsumerDemocracy.com, Complaints.com, planetfeedback.com, and Epinions.com.
Review sites are generally supported by advertising. Some business review sites may also allow businesses to pay for enhanced listings, which do not affect the reviews and ratings. Product review sites may be supported by providing affiliate links to the websites that sell the reviewed items, which pay the site on a per-click or per-sale basis.
With the growing popularity of affiliate programs on the Internet, a new sort of review site has emerged: the affiliate product review site. This type of site is usually professionally designed and written to maximize conversions, and is used by e-commerce marketers. It is often based on a blog platform like WordPress or Squarespace, has a privacy and contact page to help with SEO, and has commenting and interactivity turned off. It will also have an e-mail gathering device in the form of an opt-in, or drop-down list to help the aspiring e-commerce business person build an e-mail list to market to.
Because of the specialized marketing thrust of this type of website, the reviews are not always seen to be objective by consumers. Because of this, the FTC has provided several guidelines requiring publishers to disclose when they benefit monetarily from the content in the form of advertising, affiliate marketing, etc.
Studies by independent research groups like Forrester Research, comScore, The Kelsey Group, and the Word of Mouth Marketing Association show that rating and review sites influence consumer shopping behavior. In an academic study published in 2008, empirical results demonstrated that the number of online user reviews is a good indicator of the intensity of underlying word-of-mouth effect and increase awareness.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
A like button, like option, or recommend button is a feature in communication software such as social networking services, Internet forums, news websites and blogs where the user can express that they like, enjoy or support certain content. Internet services that feature like buttons usually display the number of users who liked each content, and may show a full or partial list of them. This is a quantitative alternative to other methods of expressing reaction to content, like writing a reply text.
An online community, also called an internet community or web community, is a community whose members interact with each other primarily via the Internet. Members of the community usually share common interests. For many, online communities may feel like home, consisting of a "family of invisible friends". Additionally, these "friends" can be connected through gaming communities and gaming companies. Those who wish to be a part of an online community usually have to become a member via a specific site and thereby gain access to specific content or links.
Web 2.0 (also known as participative (or participatory) web and social web) refers to websites that emphasize user-generated content, ease of use, participatory culture and interoperability (i.e., compatibility with other products, systems, and devices) for end users. The term was coined by Darcy DiNucci in 1999 and later popularized by Tim O'Reilly and Dale Dougherty at the first Web 2.0 Conference in 2004.
With an ever-growing amount of data generated on the web, aggregating information from the crowd into meaningful knowledge has become crucial to companies in order to create a competitive edge. Not only companies, but also organizations and governments can ...
A computer-implemented method for generating a user profile of a user of an online platform, a computer-implemented method for providing a first user with targeted information and a computer-implemented method for providing a user of an online platform wit ...
User profiling is a useful primitive for constructing personalised services, such as content recommendation. In the present paper we investigate the feasibility of user profiling in a distributed setting, with no central authority and only local informatio ...