193
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
157
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
159
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Users increasingly rely on their mobile devices to search local entities, typically businesses, while on the go. Even though recent work has recognized that the ranking signals in...
173
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Cross-language information retrieval (CLIR) today is dominated by techniques that use token-to-token mappings from bilingual dictionaries. Yet, state-of-the-art statistical transl...
193
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Aggregating search results from a variety of heterogeneous sources or verticals such as news, image and video into a single interface is a popular paradigm in web search. Although...
188
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Combating Web spam is one of the greatest challenges for Web search engines. State-of-the-art anti-spam techniques focus mainly on detecting varieties of spam strategies, such as ...
176
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Enterprise search is challenging for several reasons, notably the dynamic terminology and jargon that are specific to the enterprise domain. This challenge is partly addressed by...
184
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this pa...
157
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
177
click to vote
SIGIR
2012
ACM
13 years 7 months ago
2012
ACM
Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the...