Abstract: A wearable mobile phone holder includes a holding part, a base, clamping teeth and a latch. The base is pivotally connected to the holding part through a pivot shaft. The clamping teeth are arranged on the holding part, and the latch is arranged on the base. The plurality of clamping teeth are arranged along a circumferential direction of the pivot shaft. An end of the latch is inserted into a clamping teeth gap between the clamping teeth. The mobile phone can be quickly installed into or removed from the wearable mobile phone holder by only rotating the pressing head. The mobile phone can be tightly clamped and positioned by the spring in the rotary pressing mechanism, which can be easily and quickly operated. The distance between the clamping jaws can be adjusted to adapt to mobile phones of different models and sizes to improve the generality of the holder.

Abstract: A wearable mobile phone holder includes a holding part, a base, clamping teeth and a latch. The base is pivotally connected to the holding part through a pivot shaft. The clamping teeth are arranged on the holding part, and the latch is arranged on the base. The plurality of clamping teeth are arranged along a circumferential direction of the pivot shaft. An end of the latch is inserted into a clamping teeth gap between the clamping teeth. The mobile phone can be quickly installed into or removed from the wearable mobile phone holder by only rotating the pressing head. The mobile phone can be tightly clamped and positioned by the spring in the rotary pressing mechanism, which can be easily and quickly operated. The distance between the clamping jaws can be adjusted to adapt to mobile phones of different models and sizes to improve the generality of the holder.

Abstract: In one embodiment, a method includes receiving, from a client system of a first user, a text query to search for posts of the online social network, the text query comprising one or more n-grams, searching a personalized index of keyword phrases associated with the first user to identify one or more keyword phrases matching one or more of the n-grams of the text query, the index of keyword phrases being based on content extracted from posts by one or more second users that have been viewed by the first user, and providing to the client system in response to receiving the text query, instructions for displaying a user interface comprising one or more of suggested queries to search for posts of the online social network, wherein each suggested query comprises one or more n-grams from the text query and one or more of the identified keyword phrases.

Abstract: In one embodiment, a method includes receiving, from a client system of a first user, a text query to search for posts of the online social network, the text query comprising one or more n-grams, searching a personalized index of keyword phrases associated with the first user to identify one or more keyword phrases matching one or more of the n-grams of the text query, the index of keyword phrases being based on content extracted from posts by one or more second users that have been viewed by the first user, and providing to the client system in response to receiving the text query, instructions for displaying a user interface comprising one or more of suggested queries to search for posts of the online social network, wherein each suggested query comprises one or more n-grams from the text query and one or more of the identified keyword phrases.

Abstract: In one embodiment, a method includes receiving an unstructured text query to search for posts of the online social network. The method includes parsing the text query to identify one or more n-grams. The method includes searching an index of keyword phrases associated with the first user to identify one or more keyword phrases matching one or more of the n-grams of the text query. The index of keyword phrases is based on posts by one or more second users of the online social network. The method includes calculating a keyword score for each of the identified keyword phrases. The method includes generating one or more suggested queries. Each suggested query includes one or more n-grams identified from the text query and one or more identified keyword phrases. The method includes sending one or more of the suggested queries to search for posts of the online social network.

Abstract: In one embodiment, a method includes receiving an unstructured text query to search for posts of the online social network. The method includes parsing the text query to identify one or more n-grams. The method includes searching an index of keyword phrases associated with the first user to identify one or more keyword phrases matching one or more of the n-grams of the text query. The index of keyword phrases is based on posts by one or more second users of the online social network. The method includes calculating a keyword score for each of the identified keyword phrases. The method includes generating one or more suggested queries. Each suggested query includes one or more n-grams identified from the text query and one or more identified keyword phrases. The method includes sending one or more of the suggested queries to search for posts of the online social network.