منابع مشابه
Using Prior Information Derived from Citations in Literature Search
Abstract Researchers spent a large amount of their time searching through an ever increasing number of scientific articles. Although users of scientific search engines prefer the ranking of results according to the number of citations a publication has received, it is never investigated whether this notion of authorativeness could also benefit more traditional and objective measures. Is it also...
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Information systems that leverage contextual knowledge about their users and their search situations – such as histories, demographics, surroundings, constraints or devices – can provide tailored search experiences and higher-quality task outcomes. Within information retrieval, there is a growing focus on how knowledge of user interests, intentions, and context can improve aspects of search and...
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Query recommendation can not only effectively facilitate users to obtain their desired information but also increase ads’ click-through rates. This paper presents a general and highly efficient method for query recommendation. Given query sessions, we automatically generate many similar and dissimilar query-pairs as the prior knowledge. Then we learn a transformation from the prior knowledge to...
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Social networks gained more attention over the last years, due to their importance in the users’ modern life. Moreover, social networks have become a great source of information, and several applications have been proposed to extract information from them such as: recommender systems. In this paper we present two recommendation algorithms called: Semantic Social Breadth First Search SSBFS and S...
متن کاملSearch and Recommendation: Birds of a Feather?
In just a little over half a century, the field of information retrieval has experienced spectacular growth and success, with IR applications such as search engines becoming a billion-dollar industry in the past decades. Recommender systems have seen an even more meteoric rise to success with wide-scale application by companies like Amazon, Facebook, and Netflix. But are search and recommendati...
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ژورنال
عنوان ژورنال: Journal of Japan Institute of Light Metals
سال: 2020
ISSN: 0451-5994,1880-8018
DOI: 10.2464/jilm.70.155