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- W1963535918 abstract "Entity search is an emerging IR and NLP task that involves the retrieval of entities of a specific type in response to a query. We address the similar researcher search or the researcher recommendation problem, an instance of similar entity search for the academic domain. In response to a researcher name' query, the goal of a researcher recommender system is to output the list of researchers that have similar expertise as that of the queried researcher. We propose models for computing similarity between researchers based on expertise profiles extracted from their publications and academic homepages. We provide results of our models for the recommendation task on two publicly-available datasets. To the best of our knowledge, we are the first to address content-based researcher recommendation in an academic setting and demonstrate it for Computer Science via our system, ScholarSearch." @default.
- W1963535918 created "2016-06-24" @default.
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- W1963535918 date "2012-06-10" @default.
- W1963535918 modified "2023-09-26" @default.
- W1963535918 title "Similar researcher search in academic environments" @default.
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- W1963535918 doi "https://doi.org/10.1145/2232817.2232849" @default.
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