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NIPS
2007
15 years 2 months ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones
WWW
2006
ACM
16 years 2 months ago
Optimizing scoring functions and indexes for proximity search in type-annotated corpora
We introduce a new, powerful class of text proximity queries: find an instance of a given "answer type" (person, place, distance) near "selector" tokens matchi...
Soumen Chakrabarti, Kriti Puniyani, Sujatha Das
ACSC
2006
IEEE
15 years 7 months ago
Shallow NLP techniques for internet search
Information Retrieval (IR) is a major component in many of our daily activities, with perhaps its most prominent role manifested in search engines. Today’s most advanced engines...
Alex Penev, Raymond K. Wong
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Exploring Automatic Query Refinement for Text-Based Video Retrieval
Text-based search using video speech transcripts is a popular approach for granular video retrieval at the shot or story level. However, misalignment of speech and visual tracks, ...
Timo Volkmer, Apostol Natsev
AIRWEB
2005
Springer
15 years 7 months ago
An Analysis of Factors Used in Search Engine Ranking
This paper investigates the influence of different page features on the ranking of search engine results. We use Google (via its API) as our testbed and analyze the result rankin...
Albert Bifet, Carlos Castillo, Paul-Alexandru Chir...