With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …

Query suggestion plays an important role in improving the usability of search engines.
Although some recently proposed methods can make meaningful query suggestions by …

In information retrieval, query auto completion (QAC), also known as typeahead [Xiao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …

A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art
performance in many machine learning tasks, spanning speech recognition, computer …

Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other
networking sites, the social media shared by users and the associated metadata are …

This work investigates personalized social search based on the user's social relations--
search results are re-ranked according to their relations with individuals in the user's social …

As a social service in Web 2.0, folksonomy provides the users the ability to save and
organize their bookmarks online with" social annotations" or" tags". Social annotations are …

Pseudo-relevance feedback (PRF) via query-expansion has been proven to be e® ective in
many information retrieval (IR) tasks. In most existing work, the top-ranked documents from …

Web search engines have stored in their logs information about users since they started to
operate. This information often serves many purposes. The primary focus of this survey is on …