31 citations · 89 across the 13 of their papers we have counts for
7 papers · 1 filter
Recency Ranking by Diversification of Result Set
Andrey Styskin, Fedor Romanenko, Fedor Vorobyev +1
In this paper, we propose a web search retrieval approach which automatically detects recency sensitive queries and increases the freshness of the ordinary document ranking by a de…
User Model-Based Intent-Aware Metrics for Multilingual Search Evaluation
Alexey Drutsa, Andrey Shutovich, Philipp Pushnyakov +3
Despite the growing importance of multilingual aspect of web search, no appropriate offline metrics to evaluate its quality are proposed so far. At the same time, personal language…
Prediction of Video Popularity in the Absence of Reliable Data from Video Hosting Services: Utility of Traces Left by Users on the Web
Alexey Drutsa, Gleb Gusev, Pavel Serdyukov
With the growth of user-generated content, we observe the constant rise of the number of companies, such as search engines, content aggregators, etc., that operate with tremendous…
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering
Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov +2
Cold start problem in Collaborative Filtering can be solved by asking new users to rate a small seed set of representative items or by asking representative users to rate a new ite…
Intent Models for Contextualising and Diversifying Query Suggestions
Eugene Kharitonov, Craig Macdonald, Pavel Serdyukov +1
The query suggestion or auto-completion mechanisms help users to type less while interacting with a search engine. A basic approach that ranks suggestions according to their freque…
Timely crawling of high-quality ephemeral new content
Damien Lefortier, Liudmila Ostroumova, Egor Samosvat +1
Nowadays, more and more people use the Web as their primary source of up-to-date information. In this context, fast crawling and indexing of newly created Web pages has become cruc…
Personalised Travel Recommendation based on Location Co-occurrence
Maarten Clements, Pavel Serdyukov, Arjen P. de Vries +1
We propose a new task of recommending touristic locations based on a user's visiting history in a geographically remote region. This can be used to plan a touristic visit to a new…