Large language models for information retrieval: A survey
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …
search engines, have integrated themselves into our daily lives. These systems also serve …
Embedding-based product retrieval in taobao search
Nowadays, the product search service of e-commerce platforms has become a vital
shopping channel in people's life. The retrieval phase of products determines the search …
shopping channel in people's life. The retrieval phase of products determines the search …
Understanding user intent modeling for conversational recommender systems: a systematic literature review
User intent modeling in natural language processing deciphers user requests to allow for
personalized responses. The substantial volume of research (exceeding 13,000 …
personalized responses. The substantial volume of research (exceeding 13,000 …
Contrastive learning of user behavior sequence for context-aware document ranking
Context information in search sessions has proven to be useful for capturing user search
intent. Existing studies explored user behavior sequences in sessions in different ways to …
intent. Existing studies explored user behavior sequences in sessions in different ways to …
PSSL: self-supervised learning for personalized search with contrastive sampling
Personalized search plays a crucial role in improving user search experience owing to its
ability to build user profiles based on historical behaviors. Previous studies have made great …
ability to build user profiles based on historical behaviors. Previous studies have made great …
Encoding history with context-aware representation learning for personalized search
The key to personalized search is to clarify the meaning of current query based on user's
search history. Previous personalized studies tried to build user profiles on the basis of …
search history. Previous personalized studies tried to build user profiles on the basis of …
Ihgnn: Interactive hypergraph neural network for personalized product search
A good personalized product search (PPS) system should not only focus on retrieving
relevant products, but also consider user personalized preference. Recent work on PPS …
relevant products, but also consider user personalized preference. Recent work on PPS …
Employing personal word embeddings for personalized search
Personalized search is a task to tailor the general document ranking list based on user
interests to better satisfy the user's information need. Many personalized search models …
interests to better satisfy the user's information need. Many personalized search models …
A category-aware multi-interest model for personalized product search
Product search has been an important way for people to find products on online shopping
platforms. Existing approaches in personalized product search mainly embed user …
platforms. Existing approaches in personalized product search mainly embed user …
Group based personalized search by integrating search behaviour and friend network
The key to personalized search is to build the user profile based on historical behaviour. To
deal with the users who lack historical data, group based personalized models were …
deal with the users who lack historical data, group based personalized models were …