How Do Users Search and Discover?
نویسنده
چکیده
منابع مشابه
Discovering Popular Clicks\' Pattern of Teen Users for Query Recommendation
Search engines are still the most important gates for information search in internet. In this regard, providing the best response in the shortest time possible to the user's request is still desired. Normally, search engines are designed for adults and few policies have been employed considering teen users. Teen users are more biased in clicking the results list than are adult users. This leads...
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A key step for success of marketer is to discover influential users who diffuse information and their followers have interest to this information and increase to diffuse information on social media. They can reduce the cost of advertising, increase sales and maximize diffusion of information. A key problem is how to precisely identify the most influential users on social networks. In this pape...
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This research has endeavored to investigate popular locations in the Isfahan’s Jame mosque (Atiq) for different groups of users, discover the meaning that they received and finally identify the architectural features which effect on stops and behaviors by a reverse process. The main question of this study is: how do the dominant physical and spatial features of the Jame (Atiq) mosque impa...
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Foursquare is a search and discovery tool which helps users discover venues around the world. Much of the data for these recommendations come from its sister app Swarm, which is a location based social network where users can “check in” to places they visit. Older versions of Foursquare had a strongly static component to its recommendations. For instance, the top restaurants in New York City do...
متن کاملSpying Out Accurate User Preferences for Search Engine Adaptation
Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickthrough data to adapt a search engine’s ranking function. Clickthrough data indicate for each query the results that are clicked by users. As a kind of implicit relevance feedback information, clickthrough data can easily be coll...
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تاریخ انتشار 2015