Opinion retrieval is a document retrieving and ranking process. A relevant document must be relevant to the query and contain opinions toward the query. Opinion polarity classific...
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
The User-over-Ranking hypothesis states that rather the user herself than a web search engine’s ranking algorithm can help to improve retrieval performance. The means are longer ...
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...
Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to ...