[書籍][B] Click models for web search
With the rapid growth of web search in recent years the problem of modeling its users has
started to attract more and more attention of the information retrieval community. This has …
started to attract more and more attention of the information retrieval community. This has …
Retrieval evaluation measures that agree with users' SERP preferences: Traditional, preference-based, and diversity measures
We examine the “goodness” of ranked retrieval evaluation measures in terms of how well
they align with users' Search Engine Result Page (SERP) preferences for web search. The …
they align with users' Search Engine Result Page (SERP) preferences for web search. The …
A comparative analysis of interleaving methods for aggregated search
A result page of a modern search engine often goes beyond a simple list of “10 blue links.”
Many specific user needs (eg, News, Image, Video) are addressed by so-called aggregated …
Many specific user needs (eg, News, Image, Video) are addressed by so-called aggregated …
Investigation of user search behavior while facing heterogeneous search services
X Li, Y Liu, R Cai, S Ma - Proceedings of the Tenth ACM International …, 2017 - dl.acm.org
With Web users' search tasks becoming increasingly complex, a single information source
cannot necessarily satisfy their information needs. Searchers may rely on heterogeneous …
cannot necessarily satisfy their information needs. Searchers may rely on heterogeneous …
A short survey on online and offline methods for search quality evaluation
E Kanoulas - Russian Summer School in Information Retrieval, 2015 - Springer
Abstract Evaluation has always been the cornerstone of scientific development. Scientists
come up with hypotheses (models) to explain physical phenomena, and validate these …
come up with hypotheses (models) to explain physical phenomena, and validate these …
V-TCM: Vertical-aware transformer click model for web search
K Bisht, S Susan - Proceedings of the 37th ACM/SIGAPP Symposium on …, 2022 - dl.acm.org
Understanding 1 and predicting user click behavior on a web search engine results page is
critical for online advertising and recommendation engines. The click prediction results can …
critical for online advertising and recommendation engines. The click prediction results can …
Meta-evaluation of dynamic search: How do metrics capture topical relevance, diversity and user effort?
Complex dynamic search tasks typically involve multi-aspect information needs and
repeated interactions with an information retrieval system. Various metrics have been …
repeated interactions with an information retrieval system. Various metrics have been …
Modeling users' search sessions for high utility query recommendation
Query recommendation has long been considered a key feature of search engines, which
can improve users' search experience by providing useful query suggestions for their search …
can improve users' search experience by providing useful query suggestions for their search …
[PDF][PDF] Search engines that learn from their users
A Schuth - SIGIR Forum, 2016 - dare.uva.nl
1. Introduction their own information needs, and have to make assumptions about relevance
from an assumed user's point of view. Because the true information need can be difficult to …
from an assumed user's point of view. Because the true information need can be difficult to …