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Luca Telloli

Researcher at Yahoo!

Publications -  6
Citations -  154

Luca Telloli is an academic researcher from Yahoo!. The author has contributed to research in topics: Search engine & Web search query. The author has an hindex of 6, co-authored 6 publications receiving 154 citations. Previous affiliations of Luca Telloli include Barcelona Supercomputing Center.

Papers
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Proceedings ArticleDOI

Caching search engine results over incremental indices

TL;DR: Evaluated using Wikipedia documents and a query log from Yahoo! shows that selective invalidation of cached search results can lower the number of query re-evaluations by as much as 30% compared to a baseline time-to-live scheme, while returning results of similar freshness.
Proceedings ArticleDOI

On the feasibility of multi-site web search engines

TL;DR: This paper proposes a model for assessing the total cost of a distributed Web search engine that includes the computational costs and the communication cost among all distributed sites, and presents a query-processing algorithm that maximizes the amount of queries answered locally, without sacrificing the quality of the results compared to a centralized search engine.
Proceedings ArticleDOI

Caching search engine results over incremental indices

TL;DR: Evaluation over Wikipedia documents using a query log from the Yahoo! search engine shows that selective invalidation of cached search results can lower the number of unnecessary query evaluations by as much as 30% compared to a baseline scheme, while returning results of similar freshness.
Proceedings ArticleDOI

On the feasibility of geographically distributed web crawling

TL;DR: The effect of geographical locality of Web sites on crawling performance is focused on, and the feasibility of a distributed crawler in terms of network costs is investigated.
Patent

System and methodology for a multi-site search engine

TL;DR: In this paper, the authors describe techniques for query processing in a multi-site search engine, where each site of a multisite search engine indexes a set of assigned web resources and each site calculates a site-specific upper bound ranking score on the contribution of the term to the search engine ranking function for a query containing the term.