Utilizing query performance predictors for early termination in meta-search

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2016

Öğrenci: EMRE ŞENER

Danışman: İSMAİL SENGÖR ALTINGÖVDE

Özet:

In the context of web, a meta-search engine is a system that forwards an incoming user query to all the component search engines (aka, resources); and then merges the retrieved results. Given that hundreds of such resources may exist, it is mandatory for a meta-search engine to avoid forwarding a query to all available resources, but rather focus on a subset of them. In this thesis, we first introduce a novel incremental query forwarding strategy for meta-search. More specifically, given a ranked list of N search engines, our strategy operates in rounds, such that in each round, we retrieve the results of the next k “unvisited” resources in the list (where k