Context-Aware Query Suggestion
نویسنده
چکیده
1
منابع مشابه
EEQR: An Energy Efficient Query-Based Routing Protocol for Wireless Sensor Networks
Routing in Wireless Sensor Networks (WSNs) is a very challenging task due to the large number of nodes, their mobility and lack of proper infrastructure. Since the sensors are battery powered devices, energy efficiency is considered as one of the main factors in designing routing protocols in WSNs. Most of energy-aware routing protocols are mere energy savers that attempt to decrease the energy...
متن کاملEntity Suggestion with Conceptual Expanation
Entity Suggestion with Conceptual Explanation (ESC) refers to a type of entity acquisition query in which a user provides a set of example entities as the query and obtains in return not only some related entities but also concepts which can best explain the query and the result. ESC is useful in many applications such as related-entity recommendation and query expansion. Many example based ent...
متن کاملEEQR: An Energy Efficient Query-Based Routing Protocol for Wireless Sensor Networks
Routing in Wireless Sensor Networks (WSNs) is a very challenging task due to the large number of nodes, their mobility and lack of proper infrastructure. Since the sensors are battery powered devices, energy efficiency is considered as one of the main factors in designing routing protocols in WSNs. Most of energy-aware routing protocols are mere energy savers that attempt to decrease the energy...
متن کاملPersonalizedery Suggestion Diversification
ery suggestions help users rene their queries aer they input an initial query. We consider the task of generating query suggestions that are personalized and diversied. We propose a personalized query suggestion diversication model (PQSD), where a user’s long-term search behavior is injected into a basic greedy query suggestion diversication model (G-QSD) that considers a user’s search co...
متن کاملPersonalized Query Suggestion Diversification in Information Retrieval
Query suggestions help users refine their queries after they input an initial query. Previous work on query suggestion has mainly concentrated on approaches that are similarity-based or context-based, developing models that either focus on adapting to a specific user (personalization) or on diversifying query aspects in order to maximize the probability of the user being satisfied (diversificat...
متن کامل