Search

The dissertation research explores an approach to automatic concept-based query expansion to improve search engine performance. It uses a network-based approach for identifying the concept represented by the user's query and is founded on the idea that a collection-specific association thesaurus can be used to create a reasonable representation of all the concepts within the document collection as well as the relationships these concepts have to one another. Because the representation is generated using data from the association thesaurus, a mapping will exist between the representation of the concepts and the terms used to describe these concepts. The research applies to search engines designed for use in an individual website with content focused on a specific conceptual domain. Therefore, both the document collection and the subject content must be well-bounded, which affords the ability to make use of techniques not currently feasible for general purpose search engine used on the entire web.

In 2011, over 1.5 million new book titles were published in the United States, a 400% increase in just five years compared to 2006. In the same time period, the market share for eBooks increased dramatically and now comprises 20% or more of sales from many of the biggest publishing companies. This hyper-abundance of titles in an increasingly heterogeneous market place has made it difficult for consumers to connect to books they might want to read. This is the discovery problem. It is compounded by the continuing decline of traditional gatekeepers and sources of discovery such as mass media reviews and advertising, as well as the decline of traditional bookstores where people often find books through browse. Authors and publishers therefore have turned to social media to spread the word about their titles. Social gatekeeping, an extension of traditional gatekeeping theory, is proposed as the framework for understanding how author participation in social networks initiates a flow of the diffusion of information over the web and other computer mediated communication channels, and through individuals and social networks to potential readers. Serendipitous browse and discovery is a key strategy for readers to find titles of interest, and the serendipitous tie is proposed as a social mechanism through which individuals discover new titles and bring it back to their social networks to share. To explore these concepts, a random sample of new eBook titles published during the first week of April, 2012 was generated and analyzed in three phases. The first phase of research classified books and authors according to facets such as traditional or self-published, use of social media and other factors. The second phase used multiple regression to establish an association between the use of social media by authors and a title's sales and presence on the Web. The third phase reviewed selected titles for new approaches to social media use and evidence of the serendipitous tie. The re