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Integrating Non-Topical Aspects Into Information Retrieval, Elif Aktolga
Integrating Non-Topical Aspects Into Information Retrieval, Elif Aktolga
Doctoral Dissertations
When users investigate a topic, they are often interested in results that are not just relevant, but also strongly opinionated or covering a range of times. To get such results, users are forced to formulate ambiguous, complex, or longer queries. Commonly this becomes a burden, since users need to issue several queries with reformulations if initial search results are not completely satisfactory. In this thesis, we focus on those two non-topical dimensions: opinionatedness and time. We develop measures for quantifying them in documents and incorporate them into search results. For improving search results with respect to non-topical dimensions, we use …