E-Finance Lab e.V.
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ON THE INTERNET, SEARCH ENGINES INFLUENCE THE BEHAVIOR OF AN INCREASING PART OF CUSTOMERS. BANKS MAKE USE OF SEARCH ENGINES TO PROMOTE PRODUCTS BY USING KEYWORD AUCTIONS TO PURCHASE A PLACE OF THEIR ADVERTISEMENTS IN THE SPONSORED SEARCH LISTINGS. WE DESCRIBE HOW TO BID IN KEYWORD AUCTIONS AND HOW TO MEASURE THE SUCCESS OF SEARCHENGINE MARKETING.
Order channel management
(2007)
INSTITUTIONAL INVESTORS, I.E. HEDGE FUNDS OR TRADITIONAL FUNDS, FACE ON THE ONE HAND NEW TECHNOLOGY-ENABLED TRADING CHOICES AND ON THE OTHER HAND INCREASED PERFORMANCE PRESSURE FROM THEIR CUSTOMERS. TO BALANCE THESE OPPORTUNITIES AND CHALLENGES, NEW APPROACHES TO MANAGE THEIR TRADING DESKS AND ORDER DECISIONS ARE REQUIRED.
Attraction and commercial success of web sites depend heavily on the additional values visitors may find. Here, individual, automatically obtained and maintained user profiles are the key for user satisfaction. This contribution shows for the example of a cooking information site how user profiles might be obtained using category information provided by cooking recipes. It is shown that metrical distance functions and standard clustering procedures lead to erroneous results. Instead, we propose a new mutual information based clustering approach and outline its implications for the example of user profiling.