منابع مشابه
Entity ranking using click-log information
Log information describing the items the users have selected from the set of answers a query engine returns to their queries constitute an excellent form of indirect user feedback that has been extensively used in the web to improve the effectiveness of search engines. In this work we study how the logs can be exploited to improve the ranking of the results returned by an entity search engine. ...
متن کاملEntity Attribute Ranking Using Learning to Rank
Commercial search systems have recently begun using entity cards to support their ranked results lists. In this work, we propose an automated method for entity card building. We model this problem as a learning to rank approach applied to entity attributes. We introduce a new set of features that utilizes semantic information about entities as well as information from top-ranked documents using...
متن کاملDegree Ranking Using Local Information
Most real world dynamic networks are evolved very fast with time. It is not feasible to collect the entire network at any given time to study its characteristics. This creates the need to propose local algorithms to study various properties of the network. In the present work, we estimate degree rank of a node without having the entire network. The proposed methods are based on the power law de...
متن کاملAdapting Document Ranking to Users' Preferences Using Click-Through Data
1* Min Zhao is currently researcher at NEC Lab China, Beijing. Abstract. This paper proposes a new approach to ranking the documents retrieved by a search engine using click-through data. The goal is to make the final ranked list of documents accurately represent users’ preferences reflected in the click-through data. Our approach combines the ranking result of a traditional IR algorithm (BM25)...
متن کاملAn Ensemble Click Model for Web Document Ranking
Annually, web search engine providers spend more and more money on documents ranking in search engines result pages (SERP). Click models provide advantageous information for ranking documents in SERPs through modeling interactions among users and search engines. Here, three modules are employed to create a hybrid click model; the first module is a PGM-based click model, the second module in a d...
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ژورنال
عنوان ژورنال: Intelligent Data Analysis
سال: 2013
ISSN: 1571-4128,1088-467X
DOI: 10.3233/ida-130609